Job Description

We are looking for a Lead Marketing Analyst to join our team as a contractor.  At Blend our Data Scientists work with business leaders to solve our clients’ business challenges. We work with clients in marketing, revenue management, customer service, inventory management and many other aspects of modern business. Our Data Scientists have the business acumen to apply Data Science to many different business models and situations. 

We expect the Data Scientists to be excellent communicators with the ability to describe complex concepts clearly and concisely. They should be able to work independently in gathering requirements, developing roadmaps, and delivering results.

• Understand client needs and customize existing business processes to meet client needs. 
• Promptly address client concerns and professionally manage requests.
• Understand Marketing Programs, Define/Document Campaign Requirement and Execution Plan
• Audience Management: Prospect/Owner Data Consolidation
• Campaign Performance and Analytics: Reporting & Insight
• Predictive Models Implementation
• Ingestion of FICO Score
• Assemble large, complex data sets from client and external sources that meet functional business requirements.
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. 
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
• Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
• Assist client to deploy models and algorithms within their own architecture

Qualifications

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field
• 3+ years Professional experience in Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization
• Experience leading a team
• Experience analyzing campaign performance
• Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS) 
• Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive
• Experience with spark and data-frames in PySpark or Scala
• Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing.
• Comfortable with cloud-based platforms (AWS, Azure, Google)
• Experience with Google Analytics, Adobe Analytics, Optimizely a plus

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Job Description

• Lead strategic ad-hoc efforts to expand, optimize, and improve the customer experience for Add a Card offers
• The ideal candidate will be someone that can be given a desired outcome and will figure out what needs to happen to get there. They will map out an action plan, which will inevitably evolve as new information is gathered, and ultimately execute on it with limited additional direction
• Candidate should be determined, adaptable, and an excellent problem solver. Needs to be able to think strategically with a steady focus on the end goal, while also having a proven track record of delivering on cross-functional initiatives
• Candidate must be able to work on multiple efforts in parallel and be able to prioritize and reprioritize as efforts evolve
• These ad-hoc initiatives will span a variety of functions – including digital, data, and modelling – but the candidate will be working with SMEs in each area, so deep knowledge in these areas is less important than having a high level of curiosity, ability to ask the right questions, a thoroughness in following up, and an overall ability to drive change

Qualifications

• Bachelor's Degree and 4 years of related experience in the field of
  project management
• Excellent project management and organizational skills
• Experience working in the financial services industry preferred.
• Knowledge and experience with working along multiple layers of creative
  reviews and approvals
• Excellent communication skills, particularly as it pertains to tailoring
  one's message and style to best reach one's audience --- in both formal and
  informal settings and regardless of the audience (e.g. technical, creative,
  legal, internal and external auditors, senior managers and officers)
• Demonstrated ability to synthesize, prioritize and drive results with a
  strong sense of urgency.
• Demonstrates flexibility in approach to different types of business
  problems and a willingness to change course when necessary to avoid project
  setbacks.
• Outstanding relationship building and relationship management skills.
• Comfortable with ambiguity; able to create and establish structure and
  process across cross-functional teams when ambiguous situations and new
  business needs arise.

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Job Description

We are seeking a Databricks Data Engineerto support our client, a community-based health system serving 1.3 million people across Ohio and Indiana, to design, build, and optimize data pipelines and workflows in support of our healthcare analytics initiatives.  This role will be integral in transforming raw data into actionable insights that support clinical, financial, and operational improvements. The ideal candidate will have a strong background in data engineering with specific expertise in Databricks and cloud platforms.

The Details:

• Location: Fully remote within U.S. (Eastern or Central Time preferred)
• Duration: Approximately a 6-month consulting role through Blend360, with the possibility of extension
• Benefits: We do offer benefits to our full-time W2 consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on!

What you’ll do:

• Data Pipeline Development: Design, build, and manage scalable data pipelines and ETL processes in Databricks, utilizing PySpark, SQL, and other tools to transform data into usable formats for analysis and reporting.
• Data Integration: Integrate data from various clinical, financial, and operational systems, ensuring data quality, accuracy, and availability.
• Data Lake and Warehouse Management: Develop and maintain the data lake and data warehouse environments, ensuring they align with best practices for storage, access, and scalability.
• Data Quality and Governance: Collaborate with data governance and compliance teams to ensure data privacy, security, and accuracy, adhering to healthcare regulations such as HIPAA.
• Collaboration and Support: Work closely with data scientists, analysts, and business stakeholders to understand data needs and develop solutions that meet clinical and business objectives.
• Performance Optimization: Identify performance bottlenecks and optimize Databricks workflows for efficiency and cost-effectiveness, leveraging cluster management and Spark optimization techniques.
• Documentation and Training: Create and maintain clear, comprehensive documentation for data processes and provide training or support to other data team members as needed.  Continuously provide training and mentorship to team members on Databricks best practices.

Qualifications

• Strong experience in SQL, PySpark, CI/CD, CLI, Azure DevOps, Unity Catalog, various cluster settings, performance optimization, and end-to-end pipeline setup.
• Experience with parsing and loading semi-structured data (JSON).
• Experience with parsing and loading unstructured data (clinical notes, DICOM images - radiology reports, MRI scans, etc.).
• Ability to set up streaming data in the Azure environment (Azure Event Hub).
• Prior healthcare experience.
• Databricks certification 

Preferred Qualifications:

• Familiarity with Medical Language Models from John Snow Labs.
• Knowledge of healthcare NLPs and Spark NLPs.
• Knowledge of HL7 Data format.

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Job Description

• Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
• Lead customer behavior analysis to provide insights into key business challenges, focusing on identifying trends, customer segments, and sales channel performance.
• Work extensively with SQL and Python to analyze large datasets, ensuring accurate and actionable insights.
• Collaborate with cross-functional teams to design and implement A/B testing and experimental designs, utilizing causal inference and classification modeling to optimize marketing strategies.
• Communicate findings through compelling visualizations and storytelling, tailoring presentations to both technical and non-technical stakeholders.
• Guide and mentor junior analysts, fostering their professional growth and contributing to team success.

Qualifications

• Bachelor’s degree in a related field or equivalent experience. Advanced degree (MS) in Statistics, Math, Data Analytics, or a related quantitative field preferred.
• 5+ years Professional experience in Data Science. 
• Demonstrated ability leading and mentoring data science teams.
• Proficiency in SQL, Python, and Jupyter Notebooks.
• Experience working with Google Cloud Platform (GCP) or similar cloud platforms.
• Expertise in causal inference, A/B testing, and classification modeling.
• Strong data visualization and storytelling skills to effectively communicate complex insights.
• Strong problem-solving skills; ability to pivot complex data to answer business questions.
• Ability to handle ambiguity and solve open-ended problems through data analysis.

What about languages? 

You will need excellent written and verbal English for clear and effective communication with the team. 

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Job Description

We are looking for a Lead Marketing Analyst to join our team as a 6 month contractor.  At Blend our Data Scientists work with business leaders to solve our clients’ business challenges. We work with clients in marketing, revenue management, customer service, inventory management and many other aspects of modern business. Our Data Scientists have the business acumen to apply Data Science to many different business models and situations. 

We expect the Data Scientists to be excellent communicators with the ability to describe complex concepts clearly and concisely. They should be able to work independently in gathering requirements, developing roadmaps, and delivering results.

• Understand client needs and customize existing business processes to meet client needs. 
• Promptly address client concerns and professionally manage requests.
• Understand Marketing Programs, Define/Document Campaign Requirement and Execution Plan
• Audience Management: Prospect/Owner Data Consolidation
• Campaign Performance and Analytics: Reporting & Insight
• Predictive Models Implementation
• Ingestion of FICO Score
• Assemble large, complex data sets from client and external sources that meet functional business requirements.
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. 
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
• Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
• Assist client to deploy models and algorithms within their own architecture

Qualifications

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field
• 3+ years Professional experience in Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization
• Experience leading a team
• Experience analyzing campaign performance
• Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS) 
• Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive
• Experience with spark and data-frames in PySpark or Scala
• Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing.
• Comfortable with cloud-based platforms (AWS, Azure, Google)
• Experience with Google Analytics, Adobe Analytics, Optimizely a plus

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Job Description

• Develop and implement user interface designs based on wireframes and prototypes, ensuring responsive layouts for optimal viewing experiences across devices. 

• Analyze and optimize front-end performance, addressing compatibility issues and improving load times to enhance user satisfaction. 

• Create and maintain reusable component libraries to promote consistency and efficiency in UI development. 

• Collaborate with back-end developers to integrate front-end applications with back-end APIs and AI models, ensuring smooth data flow and functionality. 

• Work closely with designers, product managers, and other stakeholders to translate requirements into technical solutions. 

• Write clean, maintainable, and efficient code while following best practices, including version control and documentation. 

• Provide mentorship to junior developers, fostering a collaborative team environment and encouraging skill development. 

Qualifications

• Studies in Computer Science, Engineering or equivalent. 

• Experience in front-end development, with a strong focus on UI design and implementation. 

• Proficiency in HTML, CSS, and React. 

• Experience with responsive design techniques and frameworks (e.g., Bootstrap, Foundation). 

• Strong understanding of front-end performance optimization and cross-browser compatibility. 

• Familiarity with back-end integration, including RESTful APIs and AI model integration. 

• Knowledge of version control systems (e.g., Git) and agile development methodologies. 

• Excellent problem-solving skills and attention to detail. 

• Strong communication and collaboration skills. 

What about languages? 

You will need excellent written and verbal English for clear and effective communication with the team. 

How much experience must I have? 

• In order to thrive in this role, you must have at least 3+ years of experience as an UI Engineer. 

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Job Description

We are looking for a Lead Marketing Analyst to join our team as a 6 month contractor.  At Blend our Data Scientists work with business leaders to solve our clients’ business challenges. We work with clients in marketing, revenue management, customer service, inventory management and many other aspects of modern business. Our Data Scientists have the business acumen to apply Data Science to many different business models and situations. 

We expect the Data Scientists to be excellent communicators with the ability to describe complex concepts clearly and concisely. They should be able to work independently in gathering requirements, developing roadmaps, and delivering results.

• Understand client needs and customize existing business processes to meet client needs. 
• Promptly address client concerns and professionally manage requests.
• Understand Marketing Programs, Define/Document Campaign Requirement and Execution Plan
• Audience Management: Prospect/Owner Data Consolidation
• Campaign Performance and Analytics: Reporting & Insight
• Predictive Models Implementation
• Ingestion of FICO Score
• Assemble large, complex data sets from client and external sources that meet functional business requirements.
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. 
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
• Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
• Assist client to deploy models and algorithms within their own architecture

Qualifications

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field
• 3+ years Professional experience in Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization
• Experience leading a team
• Experience analyzing campaign performance
• Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS) 
• Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive
• Experience with spark and data-frames in PySpark or Scala
• Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing.
• Comfortable with cloud-based platforms (AWS, Azure, Google)
• Experience with Google Analytics, Adobe Analytics, Optimizely a plus

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Job Description

The VP of Emerging Accounts is a new role dedicated to next-generation Tier 1 ICP (Ideal Customer Profile) prospecting. This role will focus on engaging with the next 10–20 Tier 1 ICPs with which Blend is not currently working with across all verticals. There will be no overlap with clients already pursued by the BD team. The work will provide higher visibility and velocity toward securing larger opportunities in the next set of Tier 1 customers, with a focus on identifying multi-million dollar deals that would not have been worked on while the team is working on the set of engaged accounts. h-value deals for global or boutique consulting firms, you will:

Key responsibilities include coordination with the SVP of Sales, Business Development and Growth as well as the GTM team on selecting the next 10-20 Tier1 targets. The VP of Emerging accounts will collaborate with the GTM team to identify key opportunities for these customers and translate into quantifiable pipeline. The VP will also work with Service Line leaders to craft offerings, securing engagement with stakeholders and decision-makers, ensuring new logo customer readiness (e.g., NDA/MSA completion), and establishing executive connections with the BD team or leadership as needed to drive the opportunity forward. Once the account is established and closer to deal closure, the role will pivot back to early stage leads and prospects to qualify new opportunities and keep the pipeline replenished. The objective, once fully refined and validated, is to identify, maintain and fast-track $10–20M in new active opportunities across all verticals. The VP will also support growth opportunities in Horizon 2 and support efforts to enter global conglomerates and accelerate key opportunities in the active verticals and West region. 

Key Functional Areas 

• Innovation Sales: Implementing new tools and methods to stay ahead of the competition. 
• Market Penetration: Identifying and exploiting opportunities to expand into new markets or verticals. 
• Deal Structuring: Skilled in crafting deals that meet Blend's growth, margin and the client's strategic needs. 
• Data and AI Expertise: Deep understanding of the products/services being sold and the competitive landscape. 
• Customer Success: Ensuring customers achieve value, which drives retention and expansion. 
• Sales Analytics: Using metrics and KPIs to assess performance, optimize processes, and guide decision-making. 
• CRM Proficiency: Leveraging tools like Salesforce or HubSpot to manage customer relationships and pipeline effectively. 

Qualifications

Required Personal Experience:

• Influencer: Innovative leader with the ability to identify opportunities and influence organizations. 
• Delivers Results: Ability to successfully sell enterprise level solutions, working through the many obstacles along the way. 
• Effective Communicator: Able to present to c-level executives and technology teams with excellent written and verbal communications. 
• Creative Thinker & Problem Solver: Ability to utilize exceptional problem-solving skills to work through difficult challenges. 
• Impact Assessment: Ability to determine the impact of proposed solutions on clients’ strategy and business outcomes 

Required Professional Experience:

• Have a deep industry, data, AI and enterprise technology solutions  
• Over 15 years of experience in selling and delivering projects/strategy/advisory, business intelligence & technology  
• Strategic thinking around developing solutions in the data science and AI space 
• Professional client experience in operating as a Trusted Advisor  
• Strong commercial instincts 
• Strong organization and execution skills 
• Passion around closing deals, people, and talent development 

Success Metrics:

• Overall ability to achieve targets in sales and growth 
• Growth of new logos as a percentage of total  
• Annual value of identified and closed deals in $ 
• Ability to sell solutions across different capabilities 
• Penetrate into new industry verticals 

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Job Description

The Director of Business Intelligence Delivery is responsible for overseeing client-facing execution of one or more Blend360 projects. Since this requires strong client management skills, prior billable consulting experience will be required.  Oversee multiple cross-functional project teams of data analysts and engineers, collaborating closely with various client stakeholders and driving multiple enterprise analytics initiatives as our company continues to grow. Builds and champions the application of reporting, analysis tools, dashboards, and business knowledge to develop and implement replicable reports, datasets, and databases to achieve performance and financial metrics.  Breadth across BI technologies and depth in being able to work at a level of detail are both important to being successful in this role.  Work is fast-paced and the job may require some flexibility in hours to accommodate the needs of Blend360 clients. 

Key Responsibilities: 

• Support the development of Business Intelligence (“BI”) proposals, projects & initiatives by partnering with senior-level client partners within Blend360 and its clients
• Define BI solutions that fit client needs.  Apply BI best practices and work with team members to design technical solutions 
• Work as the BI tools subject matter expert and drive offerings development especially in the Microsoft Power Platform area 
• Manage the team working with business users and analysts to design and develop optimal business intelligence reporting and data analytics solutions 
• Collaborate with database architects, data scientists, and supporting developers in development and production support work  
• Mentor junior resources and take ownership of the team’s deliverables, including reporting, analytics, automation, and process improvement 
• Manage the team utilization, project budget, decide how to approach tasks, and develop a plan to accomplish them 
• Coordinate distributing information to team members and stakeholders and push the team for excellence, insight, and improvements 

Qualifications

• Bachelor’s degree in the Engineering, Science, Technology, or any closely related fields 
• Highly analytical, metrics-driven, with the ability to turn empirical data into insightful, strategic decisions and tactical team plans 
• Established track record driving business goals and offerings through data, business intelligence, and analytics 
• Has built, grown and led a BI delivery team in a prior senior role interfacing with clients 
• Proven ability to manage multiple competing priorities against capacity constraints 
• Excellent interpersonal skills required to deal effectively with a wide range of individuals and cultures, at all levels 
• Attention to detail and a passion for precision and accuracy 
• Strong analytical, organizational & time management skills 
• Utilizes creative strategies to analyze and produce effective documents 
• Ability to work independently, as well as collaborate with others 
• Some travel will be required.  May telecommute from any location in the United States or Canada; monthly travel to corporate office in Columbia, Maryland for 1-2 days may be required to meet in-person with the team and senior leadership 
• 12+ years of experience in Business Intelligence, analytics, and data warehousing in the following areas: 
• 7 years of hands-on experience working with any one or more of the following big data analytics platforms: Tableau Desktop, Tableau server, Tableau Data Prep, Power BI, Looker, ThoughtSpot, Qlik and Tableau CRM (Einstein Analytics) 
• Knowledge of and experience with MS Power Platform including Power Automate, Power Apps and Azure is highly desirable 
• 10 years of experience designing, developing, and enhancing Business Intelligence reporting and data analytics solutions including experience in Business Intelligence project planning, project scoping, and leading and mentoring BI analysts, report developers, and engineers. 
• 7 years BI project management experience in being able to deliver on multiple concurrent tasks, projects and priorities 
• 5 years of experience working with any one or more of the following data technologies: AWS S3, AWS Athena, Cloudera Hadoop, Denodo, Informatica Data Prep, Alteryx, DBT  
• 3 years of experience using any one or more cloud or on-premises databases such as Amazon AWS Redshift, Snowflake, Amazon S3, Athena, Microsoft SQL, Azure 

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Job Description

The VP of Emerging Accounts is a new role dedicated to next-generation Tier 1 ICP (Ideal Customer Profile) prospecting. This role will focus on engaging with the next 10–20 Tier 1 ICPs with which Blend is not currently working with across all verticals. There will be no overlap with clients already pursued by the BD team. The work will provide higher visibility and velocity toward securing larger opportunities in the next set of Tier 1 customers, with a focus on identifying multi-million dollar deals that would not have been worked on while the team is working on the set of engaged accounts. h-value deals for global or boutique consulting firms, you will:

Key responsibilities include coordination with the SVP of Sales, Business Development and Growth as well as the GTM team on selecting the next 10-20 Tier1 targets. The VP of Emerging accounts will collaborate with the GTM team to identify key opportunities for these customers and translate into quantifiable pipeline. The VP will also work with Service Line leaders to craft offerings, securing engagement with stakeholders and decision-makers, ensuring new logo customer readiness (e.g., NDA/MSA completion), and establishing executive connections with the BD team or leadership as needed to drive the opportunity forward. Once the account is established and closer to deal closure, the role will pivot back to early stage leads and prospects to qualify new opportunities and keep the pipeline replenished. The objective, once fully refined and validated, is to identify, maintain and fast-track $10–20M in new active opportunities across all verticals. The VP will also support growth opportunities in Horizon 2 and support efforts to enter global conglomerates and accelerate key opportunities in the active verticals and West region. 

Key Functional Areas 

• Innovation Sales: Implementing new tools and methods to stay ahead of the competition. 
• Market Penetration: Identifying and exploiting opportunities to expand into new markets or verticals. 
• Deal Structuring: Skilled in crafting deals that meet Blend's growth, margin and the client's strategic needs. 
• Data and AI Expertise: Deep understanding of the products/services being sold and the competitive landscape. 
• Customer Success: Ensuring customers achieve value, which drives retention and expansion. 
• Sales Analytics: Using metrics and KPIs to assess performance, optimize processes, and guide decision-making. 
• CRM Proficiency: Leveraging tools like Salesforce or HubSpot to manage customer relationships and pipeline effectively. 

Qualifications

Required Personal Experience:

• Influencer: Innovative leader with the ability to identify opportunities and influence organizations. 
• Delivers Results: Ability to successfully sell enterprise level solutions, working through the many obstacles along the way. 
• Effective Communicator: Able to present to c-level executives and technology teams with excellent written and verbal communications. 
• Creative Thinker & Problem Solver: Ability to utilize exceptional problem-solving skills to work through difficult challenges. 
• Impact Assessment: Ability to determine the impact of proposed solutions on clients’ strategy and business outcomes 

Required Professional Experience:

• Have a deep industry, data, AI and enterprise technology solutions  
• Over 15 years of experience in selling and delivering projects/strategy/advisory, business intelligence & technology  
• Strategic thinking around developing solutions in the data science and AI space 
• Professional client experience in operating as a Trusted Advisor  
• Strong commercial instincts 
• Strong organization and execution skills 
• Passion around closing deals, people, and talent development 

Success Metrics:

• Overall ability to achieve targets in sales and growth 
• Growth of new logos as a percentage of total  
• Annual value of identified and closed deals in $ 
• Ability to sell solutions across different capabilities 
• Penetrate into new industry verticals 

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Job Description

Life as a Data Engineer at Blend

We are looking for someone who is ready for the next step in their career and is excited by the idea of solving problems and designing best in class. 

However, they also need to be aware of the practicalities of making a difference in the real world – whilst we love innovative advanced solutions, we also believe that sometimes a simple solution can have the most impact.   

Our Data Engineer is someone who feels the most comfortable around solving problems, answering questions and proposing solutions. We place a high value on the ability to communicate and translate complex analytical thinking into non-technical and commercially oriented concepts, and experience working on difficult projects and/or with demanding stakeholders is always appreciated. 

Reporting to a Senior Data Engineer and working closely with the Data Science and Business Development teams, this role will be responsible for driving high delivery standards and innovation in the company. Typically, this involves delivering data solutions to support the provision of actionable insights for stakeholders. 

What can you expect from the role? 

• Preparing and presenting data driven solutions to stakeholders.
• Analyse and organise raw data.
• Design, develop, deploy and maintain ingestion, transformation and storage solutions.
• Use a variety of Data Engineering tools and methods to deliver.
• Own projects end-to-end.
• Contributing to solutions design and proposal submissions.
• Supporting the development of the data engineering team within Blend.
• Maintain in-depth knowledge of data ecosystems and trends. 
• Mentor junior colleagues.

Qualifications

What you need to have? 

• Proven track record of building analytical production pipelines using Python and SQL programming.
• Working knowledge of large-scale data such as data warehouses and their best practices and principles in managing them.
• Experience with development, test and production environments and knowledge and experience of using CI/CD.
• ETL technical design, development and support.
• Knowledge of Data Warehousing and database operation, management & design.

Nice to have 

• Knowledge in container deployment.
• Experience of creating ARM template design and production (or other IaC, e.g., CloudFormation, Terraform).
• Experience in cloud infrastructure management.
• Experience of Machine Learning deployment.
• Experience in Azure tools and services such as Azure ADFv2, Azure Databricks, Storage, Azure SQL, Synapse and Azure IoT.
• Experience of leveraging data out of SAP or S/4HANA.

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Job Description

What is this position about?  

As a Senior Business Intelligence Analyst, your core duties will entail designing, developing, supporting, and maintaining business intelligence products for our clients.   

Qualifications

• Studies in Accounting, Finance, or Information Technology and Computer Science. 

• Proficient hands-on experience with Tableau (Looker and/or Google Analytics are nice to have as additional tools).  

• Solid SQL experience, demonstrating the ability to create and maintain tables and views, with an understanding of SQL best practices for query performance.  

• Familiarity with ETL tools.  

• Strong communication skills to effectively convey insights to across teams.  

• Ability to show initiative and work independently.  

• Leadership experience is highly valued.   

• Experience with Python is a plus.  

What about languages?  

Excellent written and verbal English for clear and effective communication is a must!  

How much experience must I have?  

We're looking for someone with 5+ years of experience working as Business Intelligence Analyst or related positions.   

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Job Description

• Define product strategy using a combination of quantitative and qualitative research to inform roadmap and development priorities
• Partner with engineering teams, business stakeholders, and Legal & Compliance to design risk capabilities that drive exceptional customer experience
• Articulate product vision, features, and requirements to different audiences to gain buy-in across the organization
• Write user stories, acceptance criteria, and participate in the full software development lifecycle with engineers and designers
• Identify, document, and improve existing processes to maximize efficiency in constantly evolving environments
• Collaborate with other product managers and designers to ensure cohesiveness of the overall customer experience
• Research and remain current on the latest industry trends and recommend tools, services, and practices for improvement

Qualifications

• 3-5 years’ experience
• Product Management
• Credit card experience
• Project Management/ Stakeholder management – Excellent communication skills
• Consumer Risk Experience – One of the following à Collections, Recoveries, Credit, Fraud, Issues Management, Controls Assessment
• Experience with Confluence, Jira, Smartsheet

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Job Description

Job Description

• Develop control structures to ensure data accuracy and quality across all upstream and downstream data channels.
• Provide thought leadership and participate in projects involving data flows and processes, both upstream and downstream.
• Ensure data integrity by performing gap analysis and coordinating resolutions with business owners and IT teams.
• Work with business stakeholders to gather and understand functional requirements, develop complex queries, and generate reports.
• Support the implementation of an enterprise data governance program, contributing to policy and standard enforcement.

Qualifications

Qualifications

• Bachelor’s degree in Information Technology, Business, or a related field, or equivalent combination of education and experience.
• Strong understanding of data management principles, data quality frameworks, and metadata management.
• Familiarity with database management systems (e.g., SQL, Oracle, MySQL).
• Experience with ETL (Extract, Transform, Load) processes and tools.
• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and data security standards.
• Proficiency with data governance tools (e.g., Informatica, Alation) is a plus.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent problem-solving skills and attention to detail.

What about languages?

You will need excellent written and verbal English for clear and effective communication with the team.

How much experience must I have?

To thrive in this role, you should have at least 5+ years of experience working in data quality, data governance, or similar data analysis roles.

This version keeps the original format and title while adapting the content for a Data Governance position.

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Job Description

The Global Partnership Lead will play a pivotal role in driving growth and business development by enhancing and expanding strategic partnerships with key industry players such as AWS, Snowflake, and Databricks. Reporting to the SVP of Global Growth this role is focused on accelerating business opportunities and fostering high-impact value based relationships. 

Key Responsibilities: 

• Strategic Partner Growth: Develop and nurture high-value relationships with major partners and alliances. Negotiate strategic agreements and manage long-term partnerships to maximize business potential and drive revenue growth. 

• Collaborative Value Creation: Partner with Product Marketing, Account Managers, and Capability Practice leads to identify, articulate, and promote Blend’s value proposition. Tailor solutions to align with Partners' technology and drive mutual success. 

• Sales Enablement & Pipeline Development: Lead initiatives to increase Blend’s visibility and integration within Partners’ sales teams. Drive co-marketing efforts and create a robust pipeline of Blend services and Partner products through strategic sales activities and collaboration. 

• Operational Excellence: Oversee Partner Operations, including lead management, pipeline development, and revenue tracking. Ensure seamless integration and hygiene of partner-originated opportunities to optimize sales outcomes. 

• Thought Leadership & Representation: Represent Blend at industry events, conferences, and Partner forums. Contribute to thought leadership and enhance industry recognition through active participation and strategic messaging. 

• Performance Tracking: Monitor and report on key performance metrics related to partnership success, revenue generation, and customer adoption. Use insights to refine strategies and drive continuous improvement. 

Qualifications

• Experience & Expertise: 5+ years of experience in building and managing technology partnerships, with a focus on enterprise software and services. Proven track record of success with major platforms like Databricks, Microsoft, AWS, and Snowflake platforms is highly desirable. 

• High-Energy & Results-Oriented: Demonstrated ability to drive business growth with a high level of energy and a strong bias for action. Adept at scaling relationships and creating opportunities in complex organizational environments. 

• Technical Acumen: Experience working with technical consultants, solution architects, and data engineers to create client value through partnerships. Familiarity with Modern Data Stack concepts such as Composable CDP, Data Mesh, and reverse ETL is a plus. 

• Sales Savvy: Proven ability to navigate and close large-scale deals, manage long sales cycles, and creatively leverage partners to achieve deal closure. 

• Communication Skills: Exceptional communication and presentation skills, with the ability to engage effectively with partner executives, technical teams, and other stakeholders. 

• Independent & Agile: Capable of managing multiple projects in a fast-paced environment with minimal supervision. A willingness to travel as required to engage with partners and represent Blend at key events. 

If you're passionate about driving business development and building impactful partnerships within the technology industry, we encourage you to apply and contribute to Blend’s success. 

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Job Description

As a Digital Transformation Growth Lead, you drive and execute complex front-office transformation solutions across Marketing, Commerce, Sales, and Customer Service. With a minimum of 8 years of experience in originating, shaping, and closing high-value deals for global or boutique consulting firms, you will:

• Lead Sales Execution: Target and engage the right clients, build a quality pipeline, and close profitable deals while fostering trust-based relationships.
• Manage Sales Pursuit and Closure: Oversee opportunities from strategy to closing, coordinating internal approvals, resource allocation, and client interactions.
• Architect Solutions: Serve as an Insights Business Architect, working with both business and IT teams to design and implement Insights and CX/Decisioning Platform applications that solve complex business problems and exceed client expectations.
• Strategic Influence: Set strategic direction, manage large teams or efforts, and interact with senior management to achieve business objectives and long-term impact.
• Travel Flexibility: Be prepared for extensive travel, ranging from 25% to 50%, based on business needs.
• You will ensure that solutions align with client needs, streamline processes, and leverage Digital Transformation D&A, AI, CX/Decisioning Platform’s capabilities to deliver transformational results.

Qualifications

• Educational Qualifications: Bachelor's or master's degree in a relevant field (e.g., Business, IT, Management).

• Professional Experience: Minimum 10 years of consulting experience, focusing on enterprise and IT value strategy.

• Strategic Thinking: Ability to develop and implement growth strategies powered by technology.

• Change Management: Proficiency in change management techniques, guiding organizations through organizational realignment.

• Agile Expertise: Experience in adopting and implementing agile methodologies, fostering a culture of experimentation.

• Technology Acumen: Deep understanding of technology trends and their impact on businesses, including proficiency in digital transformation, AI, CX, cloud computing, and emerging technologies.

• Interpersonal Skills: Excellent communication skills, building strong relationships with clients and collaborating effectively with cross-functional teams.

• Leadership: Demonstrated leadership abilities, managing project teams, inspiring and guiding clients and colleagues.

• Problem-Solving: Strong problem-solving skills, addressing complex business challenges effectively.

• Adaptability: Capability to adapt to different industries and client needs, showcasing versatility and a proactive approach.

• Client Relationship Management: Proven experience in managing client relationships, understanding client needs, and delivering value-driven solutions.

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Job Description

This role supports marketing efforts globally. We need a proven expert in digital marketing and card issuance. The successful candidate will work cross functionally with multiple teams to consolidate and execute multi-country marketing programs.     

Specifics:

·         Knowledge of the money transfer and card issuance space to assist in go-to-market planning and execution.  

·         Be responsible for keeping up with the rapidly evolving technologies and capabilities within the digital and social media marketing worlds.

·         Be responsible for marketing plan integration by working with other product and marketing teams globally.

·         Help plan the global and country specific marketing strategies in partnership with the product and marketing leaders of the business.

·         Assist in managing external marketing agencies to plan, execute and report on all marketing activations globally and tailored by country.  

·         Recommend changes as required based on ongoing monitoring of performance.

·         Manage the analytical framework that measures and tracks our performance including selection of marketing tools.

·         Possess the ability to manage projects from inception through execution by being strong leader but fostering teamwork to build and implement

Qualifications

What you will need to succeed:

·         Solid background and understanding of the importance of omni-channel efforts.

·         Proven discipline, drive for results and ability to make commercial decisions.

·         Demonstrated ability to manage operational budgets with sound judgment utilizing external resources.

·         Strong communication and interpersonal skills that spans cultural differences

·         Strong executive presence and communication skills. 

What will make you stand out:

·         Bachelor's degree in marketing or equivalent preferred.  

·         8+ years of marketing experience 

·         Proven track record of global marketing with the ability to scale to country specific activation  

·         Research or analytics experience: Highly analytical and research-driven marketers are preferred for this position.

·         Experience with multi-tiered marketing implementation, demonstrate knowledge of regional nuances and challenges in the digital marketing space.

·         Experience in supporting a large organization during a transformation and/or product launches.

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Job Description

• Assisting in developing the M&A strategy by connecting with key business stakeholders.
• Connecting with investment banking network for inbound acquisition opportunities.
• Ensuring the pipeline is regularly updated and reflective of current opportunities.
• Assisting in developing and analyzing deal structure and build models and sensitivities to determine if underwriting hurdles are being achieved.
• Preparing offer documents including an IOI and LOI as the deal progresses.
• Managing the due diligence process between the acquisition target, and internal / external diligence teams. 
• Developing remediation plans based on due diligence findings and presenting them to key internal stakeholders and executives. 
• Update the financial models and refine underwriting assumptions to confirm underwriting hurdles are still being met.
• Support negotiations and preparation of definitive legal documents (e.g. SPA).
• Prepare funds flow and supporting documentation needed to secure funding from PE investors and/or commercial banking relationships. 
• Assist in developing integration plans.
• Managing and monitoring post-closing obligation including true-ups, deferred payments, and earnout payments.
• Documenting and summarizing the deal structure and legal terms.
• Following up on post-close administrative items as necessary. 

Qualifications

• Experience developing robust, dynamic financial models and analyses. 
• Solid understanding of the M&A process from start to finish. 
• Flexibility and the ability to adapt to changes in priorities in a fast-paced environment. 
• Solid understanding of US GAAP. 
• Excellent communication skills as you will be interacting with business leaders and executives.

What about languages?  

• Excellent written and verbal English for clear and effective communication is a must!  

How much experience must I have?  

We're looking for someone with 5 to 7 years of experience in M&A transactions. 

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Job Description

We are seeking a Senior UX Lead with experience in e-commerce, and customer journey mapping to join the Customer Experience Center of Excellence team. As a UX Lead, you will be responsible for creating satisfying and compelling experiences for consumers, focusing on reshaping the customer experience to address key moments of truth within the customer lifecycle. This role requires a deep understanding of all touchpoints, pain points, and customer feedback within specific customer journeys. You will be responsible for improving conversions, retention, and addressing root causes that result in unnecessary interactions. 

As a UX Lead, you must be able to solve a range of problems, analyze and understand customer behavior and decision-making tactics. You will map current sub-journeys and experiences and lead discovery conversations with key business owners to determine the process and technical solutions needed to improve the customer experience. Additionally, you will explore insights about users through various methods such as surveys, interviews, data analysis, usability studies, diary studies, and ethnographic observation. You will own the research process, from participant screening and defining test plans to data analysis and result synthesis. 

Candidates must stay up to date with design and technology trends, with a focus on the digital journey, improved self-service, and creating engaging digital experiences. You must possess creativity and practicality, knowing when an issue may be best addressed with a business practice change instead of implementing new technology. The Customer Experience Team you will be a part of bridges the gap between the customer and the brand, ensuring that each touchpoint across the customer journey is engaging, efficient, and effective. 

This UX Lead position is a hands-on role that requires active involvement in the design and implementation process. The UX Lead will actively contribute to the creation of intuitive and engaging digital experiences by participating in the design and development of prototypes, artifacts, and tools. They will work closely with researchers, designers, and other team members to ensure the successful execution of user-centered design methodologies. 

The UX Lead will collaborate with technology, product, and business teams to translate complex ideas into understandable concepts and contribute to the enhancement of the product experience. They will actively champion the prioritization of design-centered product enhancements based on research and analysis, using methodologies such as design thinking and service design. 

This hands-on aspect of the role involves conducting usability and empathy studies, creating process and user flows, journey maps, and interaction models, and adhering to existing design standards while contributing to the internal design system, best practices, and guidelines. The UX Lead will also support effective storytelling and presentation of visual concepts to various stakeholders, showcasing the value of user-centered design. 

The combination of management responsibilities and hands-on involvement ensures that the UX Lead plays a vital role in driving the customer experience strategy, leading the research and design efforts, and actively contributing to the creation of compelling digital experiences. 

• 5+ years of experience in Customer Experience work and UX research or research analysis (consideration given to internships or graduate-level work in lieu of experience).
• Experience with Customer Journey Mapping & Design.
• Experience with Digital Experience and UX/UI Design.
• Project Management Skills and/or Business Administrator skills required.
• Background in Human-Computer Interaction, Information Science, Psychology, or Social Sciences preferred.
• Proficient in Excel, usability study software, and/or statistical research software.
• Working with Salesforce environments is a plus.  This includes Marketing Cloud, Commerce Cloud, and Experience Cloud.
• Knowledge of user experience and user research methodology and theory.

Qualifications

• Developing/enhancing end-to-end experience journey maps/service blueprints. 
• Managing journey-mapping workshops and ensuring the proper creation of journey-mapping documents. 
• Managing stakeholder participation and research. 
• Documenting current and future consumer journeys. 
• Creating and executing research to resolve gaps. 
• Collaborating with technology, product, and business teams to uncover customer and business needs and translating them into intuitive and engaging digital experiences. 
• Participating in translating complex ideas into understandable concepts that enhances the product experience. 
• Advocating for the customer through human-centered design methodologies such as design research, service blueprinting, collaborative work session design and facilitation, rapid prototyping, and frame working. 
• Creating and facilitating design-led workshops to engage and build alignment across different partners and teams. 
• Championing prioritization of design-centered product enhancements grounded in research and analysis, using design thinking and service design methodologies. 
• Supporting early product definition by participating in discovery sessions to uncover customer pain points and opportunities. 
• Demonstrating interest and aptitude in service design methods. 
• Participating in end-to-end product and experience design by working with researchers to understand customer needs and define opportunities through usability and empathy studies. 
• Blueprinting existing and new digital and in-person experiences, identifying opportunities and solutions for improvement and experimentation. 
• Designing process and user flows, journey maps, and interaction models, resulting in low to high fidelity prototypes, artifacts, and tools. 
• Designing within existing standards and contributing to the internal design system, best practices, and guidelines. 
• Supporting effective storytelling and presentation of visual concepts to various stakeholders. 

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Job Description

At Blend360 we want to ensure that our clients have access to the data, insights, and innovations required to deliver against their Supply Chain Strategy. We are seeking a VP of Data Scientist, who can help advance the field within the Supply Chain Organization and deliver meaningful solutions that strive to solve our clients biggest challenges.

Accountabilities:

As a Supply Chain Data Scientist, you will build domain-specific knowledge regarding supply chain working closely with stakeholders to understand key business problems and bring Data Science solutions to resolve. You will also advance the development of  capability for Data Science within supply chain, including Artificial Intelligence (AI), and Machine Learning (ML). Your role will be pivotal in driving awareness of the value Data Science offers our clients with regard to global supply chain.

Summary with focus on communication: Data Scientists at Blend360 work with business leaders to solve our clients’ business challenges. Here at Blend360 we work with clients in marketing, revenue management, customer service, inventory management and many other aspects of modern business. Our Lead Data Scientists have the business acumen to apply Data Scientists to many different business models and situations.

We expect the Data Science Managers to be excellent communicators with the ability to describe complex concepts clearly and concisely. They should be able to work independently in gathering requirements, developing roadmaps, and delivering results.

Teamwork and Leadership: We work as a team and Data Science Managers lead both by mentoring or managing Data Scientists as well as leading by example.

Technical know-how: Our Data Scientists have a broad knowledge of a variety of data and mathematical solutions. Our work includes statistical analyses, predictive modeling, machine learning, and experimental design. We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms. We validate and cross-validate our recommendations to make sure our recommendations will perform well over time.

Conclusion: If you love to solve difficult problems and deliver results; if you like to learn new things and apply innovative, state-of-the-art methodology, join us at Blend360.

Responsibilities

• Advance the development of l capability for Data Science within supply chain.
• Build domain specific knowledge regarding supply chain.
• Ability to provide ethical and positive leadership that motivates direct reports and develops their talent and skillset while achieving results.
• Directly manage analyst project work and overall performance, including effective career planning; have difficult conversations and deliver constructive feedback with support from senior management.
• Interview, hire and train new employees.
• Analyze team KPIs, develop solutions and alternative methods to achieve goals.
• Build positive and productive relationships with clients for business growth.
• Understand client needs and customize existing business processes to meet client needs.
• Promptly address client concerns and professionally manage requests.
• Work as a strategic partner with leadership teams to support client needs.
• Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints
• Problem-solve with practice leaders to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons
• Work with practice leaders to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps
• Develop a project plan including milestones, dates, owners, and risks and contingency plans
• Create and maintain efficient data pipelines, often within clients’ architecture. Typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, spark, and Cloud big data technologies
• Assemble large, complex data sets from client and external sources that meet functional business requirements.
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform. Be able to summarize and describe data and data issues
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
• Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools
• Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
• Assist client to deploy models and algorithms within their own architecture

Qualifications

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field
• At least 5+ years Professional experience in Advanced Supply Chain Data Science 
• Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS) 
• Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches
• Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive
• Experience with spark and data-frames in PySpark or Scala
• Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing.
• Comfortable with cloud-based platforms (AWS, Azure, Google)
• Experience with Google Analytics, Adobe Analytics, Optimizely a plus

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