Job Description

We are looking for a skilled Product Manager who has an execution-oriented client facing competency that applies proven, accredited change skills and domain experience and able to partner with our clients to help them drive measurable value by:

• Delivering new products and strategies to market smoothly and efficiently
• Successfully implementing complex technology assets and delivering the most challenging transformation programs to create the new business as usual

As a Product Manager, you will manage multiple projects within our client ecosystem providing efficient and effective coordination of a complex range of activities by clearly defining project team and stakeholder roles and responsibilities that are aligned with the delivery of the expected benefits. You will also ensure effective identification of risks and pro-active solutioning to mitigate risks and impact on timelines.

All About You

• Experience in defining business/technical strategies & concepts; working with variety of business, technical, operational, marketing and legal/regulatory staff is preferred
• Own business responsibility for the assigned product(s) including end-to-end customer & partner experiences, map out visual flows and secure stakeholder alignment
• Develop business plans, implementation strategies, forecasts and performance scorecards for assigned product(s) or services - working across partners and cross-functional disciplines. 
• Able to manage multiple priorities with competing deadlines
• Ability to apply analytical processes, ingenuity and creativity to problem analysis and resolution of issues
• Passionate about innovation and knowledgeable about evolving Retail & Financial space, Tools and Experiences
• Work with Partners, Vendors Project Delivery, IT product specialists, Operations and other key stakeholders to ensure proper integration between Partner/Vendor and internal systems, definition of efficient operational processes etc.
• Create and maintain comprehensive product documentation for internal and external use - to support and sell capabilities.
• Manage the Governance processes for the assigned Product(s); Establish baseline & best practices guidelines for product implementation, testing/certifications.
• Ensures compliance with applicable legal, IS and regulatory policies and practices.

Qualifications

• Bachelor’s degree or equivalent qualification. Advanced degree or MBA preferred
• 5 - 7 years of experience in Business, Marketing, Product Management, or IT. Knowledge of credit card industry preferred.
• Exposure specifically in payments and / or retail banking or merchants preferred; prior experience with Financial Services is preferred
• Comfortable with significant client interaction and interest in building relationships
• Advanced Word, Excel, and PowerPoint skills required

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Job Description

The ideal candidate will be eager to engage clients, drive innovation through experience, and is strong at both “doing” and collaborating with other members of the team. 

• Manage and collaborate across teams – providing input into the solution architecture. 
• Own major account/retainer or own a function/capability within Data Science team being recognized as a subject matter expert as well as an internal and external thought leader. 
• Client level P&L accountability or functional solution ownership. 
• Contribute to the development of a knowledge base, build case studies, and work with new business teams to demonstrate the value of an integrated approach. 

Qualifications

• MS or PhD degree in Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Sciences, Engineering 
• 7 - 10 years of professional experience in data science analytics in areas such as predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting and/or optimization 
• Proven track record in using machine learning algorithms to impact business across a spectrum of NLP, binary, continuous and classification type outcomes 
• Demonstrates the ability to create raving-fan clients and drive positive, measurable marketing results 
• Proven ability to manage complex retainer relationship with numerous supporting resources ensuring that all resources are optimally utilized while creating a positive work environment 
• Problem-solve with practice leaders to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons 
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics 
• Ability to pivot complex data to answer business questions and proven ability to visualize data for influencing 
• Manage, mentor and motivate direct reports across all levels to encourage their professional development while providing daily supervision and guidance  
• Comfortable working in a fast-paced team environment 

Desirable Skills 

• Background across multiple verticals 
• Experience with one or more Data Science software languages (Python, R, 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 (SQL) and tuning as well as working familiarity with a variety of databases including Hadoop/Hive 
• Comfortable with cloud-based platforms (AWS, Azure, Google)  

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Job Description

We are seeking a Director of Product Developmentto lead the launch and evolution of our Fortune 100 financial services client’s digital transformation initiatives.  This role will serve as the expert in defining and executing a clear product vision and strategy to seamlessly integrate a newly acquired B2B payment automation tool into our client’s ecosystem.

This is a senior-level Product Development role within the B2B Payments Automation team, which demands strategic thinking and hands-on execution in partnership with cross-functional teams. You will ensure product success by deeply understanding and consistently championing the needs of the customer as a representative voice in all discussions and decisions, driving commercial readiness and leading the product team to achieve business goals.

The Details:

• Location: Remote (East Coast preferred)
• Duration: 5-6 months with potential for extension or conversion to hire
• Benefits:  A comprehensive benefits package will be offered to include Health, Vision, Dental, 401K plan, Life Insurance, paid holidays, and paid time off (PTO).

What you’ll do:

• Develop a compelling product vision and strategy for digital payment products, focused on driving positive customer experiences and business outcomes.
• Ensure that innovation is at the forefront of the product evolution by leading and encouraging the development of new ideas.
• Establish a product roadmap and goals linked to enterprise priorities.
• Evaluate and prioritize feature enhancements and product backlog while balancing the needs of customers, internal stakeholders, and partners.
• Acquire feedback to develop a comprehensive strategy on products; use important metrics, analytics, and customer feedback to iterate and drive improvements in future releases and to monitor product health.
• Proactively communicate risks, dependencies, and product roadmap changes to leadership, team members and key stakeholders
• Partner with engineers to identify technical solutions, assess technical tradeoffs and deliver product features/capabilities.
• Maintain pulse on external trends, competitive intelligence, and emerging technology to evolve and further innovate our products.
• Lead, coach, and oversee a team of three direct reports, including product designers and product owners.

Qualifications

• Experience in a strategic Product Management leadership role with a broad portfolio of technically complex initiatives within the Financial Services space. 
• B2B payments background strongly preferred.
• Experience mapping processes, planning product integrations, and developing strategic product roadmaps.
• Accountability for the end-to-end customer experience, with a focus on performance metrics
• A desire to consistently seek feedback from a diverse group of colleagues and partners, demonstrating clear actions taken to respond.
• Proven experience building collaborative and constructive relationships with internal and external stakeholders and partners.
• Ability to articulate a strong point of view that is backed by knowledge of the industry and customer needs.
• Ability to prioritize, assess, and properly manage competing priorities.
• Prior experience leading a team of direct reports.

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Job Description

Life as a Client Delivery Manager at Blend

As a Delivery Manager at Blend you will be responsible for the successful delivery of projects, ensuring we deliver value for our clients every time. You will work closely with our technical teams to ensure projects deliver the desired results for our clients. You will work closely with our clients, understanding what value means to them and their business, bringing them on every step of the data journey and building strong working relationships with them.

We are looking for someone who is passionate about delivering value for clients through data analytics. You should be a competent analytical translator with broad and generalist knowledge of analytics and the project lifecycle with the ability to quickly understand the context, communicate complex concepts and adapt quickly to work across different sectors, clients techniques, tools and project teams. You should be an effective communicator, capable of adapting your communication style to suit the audience.

For this role you should have agile PM experience with knowledge and practical experience of the scrum ceremonies. We expect you to have excellent time management and organisation skills and be able to manage competing priorities across different projects and clients.

What can you expect from the role?

• Managing delivery across multiple projects, clients and capability areas (data science, BI, data engineering, data strategy), accountable for delivering on time and on budget.
• Identifying blockers, supporting resolution and escalating where necessary.
• Focusing the technical project team on the priorities to ensure value creation for clients.
• Building strong working relationships with our clients and technical teams.
• Preparing and presenting presentations regularly to senior client stakeholders.
• Contributing to proposal submissions, business development initiatives and road-mapping of analytical projects and consultancy.
• Supporting the development of the delivery team and delivery team initiatives within Blend.

Qualifications

What you need to have?

• Agile delivery and project governance experience within a commercial setting and familiarity with Scrum ceremonies.
• Ability to lead project planning and re-planning with input from the technical teams and maintain delivery momentum.
• Experience in leading delivery for multiple projects end-to-end and flexibility in approach.
• Commercial awareness and excellent stakeholder managements skills with demonstrable experience in driving business value.
• Understanding of the analytics project lifecycle and experience delivering data projects across data engineering, data science, business intelligence and data strategy.
• Excellent communication and presentation skills with practical experience as an analytical translator and presenting to senior stakeholders.
• Ability to manage time and competing priorities effectively.

Nice to have

• Relevant numerate degree (maths, economics, business etc.).
• Technical analytics background.
• Experience in a consultancy environment, in particular data consultancy and strategy, and across different sectors (e.g. manufacturing, energy, public sector, automotive and utilities industries).
• Familiarity with proposal submissions, business development initiatives and data strategy.

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Job Description

• Develop and maintain applications and integrations within the client’s platform, focusing on LLMs (Large Language Models) and other critical functionalities. 

• Enhance and support SDK libraries to ensure seamless integration for internal and external developers. 

• Collaborate with cross-functional teams to design and implement scalable solutions. 

• Write clean, maintainable code that meets coding standards and best practices. 

• Troubleshoot and resolve issues related to performance, scalability, and integration. 

• Stay updated with industry trends and technologies to propose improvements and innovative solutions. 

Qualifications

• Studies in Computer Science, Engineering or equivalent. 

• Strong understanding of React.js and its core principles, with proven experience in building complex user interfaces. 

• Proficiency in Python and its frameworks (e.g., Django, Flask) for backend development. 

• Familiarity with AWS services are a plus. 

• Experience with Terraform is a plus. 

• Knowledge of Next.js for server-side rendering and API integration is desirable. 

• 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? 

• In order to thrive in this role, you must have at least 5+ years of experience as a Full Stack Engineer working with React and Python. 

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Job Description

We are seeking an accomplished AI Consulting Leader with experience in business consulting and transformation. The ideal candidate will bring an exceptional background in technology, strategy, and consulting, cultivated through tenure at renowned global consulting firms.

Key Responsibilities:

1. AI/Gen AI Expertise: Demonstrate a profound understanding of AI/Gen AI ecosystems and technologies, showcasing how they can be strategically employed to drive impactful business outcomes.

2. Adoption Strategy: Leverage proven experience to assist companies in planning and managing the adoption of artificial intelligence, ensuring alignment with business objectives and delivering measurable results.

3. Transformation Program Management: Oversee the planning and execution of scaled transformation programs, managing all aspects from initiation to completion, while ensuring seamless integration with existing business processes.

4. C-Level Collaboration: Engage effectively with C-level clients from Fortune 1000 brands, collaborating to define the 'art of the possible' within AI contexts. Provide strategic insights to shape and prioritize high-value AI use cases across the enterprise.

5. Leadership: Display strong leadership capabilities, inspiring and guiding teams towards achieving ambitious goals. Demonstrate an ability to attract and nurture market-leading talent within the organization.

Qualifications

Education: Bachelor's degree in a relevant field; advanced degree preferred.

2. Experience: A minimum of 15 years of progressive experience in business consulting and transformation, with a focus on technology and strategy. Proven track record in global consulting firms is highly desirable.

3. AI/Gen AI Proficiency: In-depth knowledge of AI/Gen AI ecosystems, technologies, and their practical applications in driving business success.

4. Client Management: Extensive experience working directly with C-level clients from Fortune 1000 brands, demonstrating effective communication and the ability to translate technical concepts into strategic business solutions.

5. Leadership Skills: Strong leadership qualities with a track record of attracting, developing, and leading high-performing teams.

If you are a results-driven, strategic thinker with a passion for leveraging AI to transform businesses, we invite you to apply for this key role in our dynamic and innovative team. Join us in shaping the future of business through cutting-edge technology and transformative strategies.

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Job Description

Life as a Senior Data Science Consultant 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 solutions using cutting edge tools. 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 Senior Data Science Consultant is someone who feels the most comfortable around messy data, solving problems and answering questions. 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 into the Data Science and BI team, and working closely with the Data Engineering team, this role will be responsible for driving high delivery standards and innovation in the company. Typically, this involves using data analytics and machine learning to conduct in-depth analysis which uncovers actionable insights and then reporting the findings back to stakeholders in a clear and relevant manner.

As the Data Science and BI team grows, mentoring junior analysts/data scientists and leading project teams will also form part of day-to-day functions.

What can you expect from the role?

• Preparing and presenting compelling analysis findings to clients and senior stakeholders.
• Use a variety of analytical tools and methods to deliver regular reports and deep dive strategic analytics.
• Own tasks end-to-end and manage the process and team of analysts.
• Contributing to proposal submissions and business development initiatives under the direction of the Leadership team.
• Supporting the development of the data science team within Blend.
• Support in the road-mapping of analytical projects.

Qualifications

What you need to have?

• Proven experience as a Data Scientist, with a strong portfolio of data science projects; ability to demonstrate how to perform data cleaning, QC and exploratory analysis to discover key insights.
• Commercial experience using predictive modelling (supervised and unsupervised) and proficiency in programming languages like Python and R or similar; solid understanding of database technologies and SQL.
• Strong knowledge and experience using predictive modelling (supervised and unsupervised) machine learning, data mining, and statistical modelling in a commercial setting.
• Experience in leading and delivering projects, managing and owning the data science solution (or parts of it) and team of analysts in a non-academic setting.
• Excellent communication and collaboration skills; ability to work effectively in a fast-paced, dynamic environment.

Nice to have

• Experience more complex applications of ML such as NLP, computer vision or optimization is advantageous.
• Ability to work and process large amounts of data/experience working with cloud environments.
• Experience and working knowledge of relevant sectors (e.g. manufacturing, energy, public sector, automotive and utilities industries) is desired but not essential. 
• Experience with proposal submissions and business development initiatives under the direction of the Leadership team.
• Experience in designing data science solutions from concept through to evaluation and monitoring models in production.
• Experience in managing teams or supporting team development.

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Job Description

Blend360 is a Dynamic, marketing, and analytic consulting company that provides marketing solution services to some of the world’s best known and most respected organizations. We are seeking a Client Account Partner to contribute to our next level of growth and expansion.

We are looking for our leader for our high-growth clients across TMT (Technology, Media and Technology), FS (Financial Services), and Retail Consumer. Our new leader comes from strong consulting background across strategy, technology and data analytics.

The Client Account Partner is responsible for forming relationships with decision makers and driving growth in the business across our existing portfolio of clients.

Responsibilities

• Leads and owns the account strategy, growth execution, and overarching P&L
• Identifies new business opportunities with existing client portfolio, pitches Blend360’s services and capabilities successfully to achieve closed deals; this includes writing proposals and Statements of Work (SOW).
• Negotiates best possible pricing to achieve the most optimal value for the client.
• Manages pipeline to include all leads, opportunities, notes and activities in a timely manner.
• Responsible for overall client satisfaction
• Facilitates getting the right Blend360 talent, skills and offerings to the decision makers at the client.

Qualifications

• Minimum of 10 years’ experience and proven track record in client management or business development in data driven marketing, analytics or data services industry.
• Has the ‘driver’ gene and is proactive in developing new high-quality relationships across the client organization.
• Ability to partner with Capability and Practice Leaders to identify and close new business opportunities.
• Passionate about impacting clients’ results through data, analytics and technology.
• Proven leadership experience, ability to be customer driven, results driven, collaborative and flexible.
• Creative, resourceful, well-organized, self-starter, solutions-oriented.
• Strong, executive-level presentation skills.
• Travel to client locations when necessary.

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Job Description

We are seeking an experienced Hypercare Specialistfor one of our global Healthcare Client’s corporate onboarding teams. This opportunity is the perfect fit for someone who has a strong background in customer service support, trouble shooting skills, and excellent communication skills.

The Details:

• Location: Remote, East Coast
• Duration: 6-month contract
• Competitive compensation and incentive plan

What you’ll do:

• In this Hypercare Specialist role, you will be directly responsible for assisting in developing and managing the Hypercare strategy and approach to multiple project launches involving a multitude of donor centers.

Additionally, you’ll:

• Manage tasks and follow up on tickets submitted to IT by the centers to quickly identify solutions and establish standard processes for streamlining the flow of ticket resolution Work with IT on ensuring necessary data is provided to manage proper reporting metrics.
• Follow established customer service approach to managing solution timelines.
• Prioritize key defects and problems that need to be resolved, and escalate Hypercare issues in accordance with established governance structure
• Assist internal Business Units during IT launches in the centers on troubleshooting issues related to the application process.
• Ensure institutionalization of a Hypercare process and playbook standards for all aspects of planning, execution, and stabilization periods.
• Identify opportunities to streamline Hypercare, share best practices with peers and leaders and implement continuous improvement actions on a regular basis.

Qualifications

Required Qualifications:

Who you are:

• An experienced Hypercare Specialist who will work cross-functionally within a matrixed organization in close partnership with Technology and Process teams to identify root cause problems, gather materials, create messaging, and offer input about implementation of programs.

What you have:

• Bachelor’s degree or equivalent work experience.
• Roughly 3-5 years of technical customer service support experience dedicated to managing pre- launch and post-launch Hypercare programs across multiple regions.
• Excellent troubleshooting skills with a strong attention to detail and problem resolution.
• Experience in project management along with top-notch organizational skills preferred.
• Strong written and verbal communication and interpersonal skills required to successfully engage with stakeholders at multiple levels of the organization.
• Savvy customer service approach to engagement across multiple levels of the organization.
• Knowledge of MS Teams and Suite, MS Word, and Excel.

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Job Description

We are seeking a Mid-Market Commercialization Consultant who will operate as a lead for commercialization projects on behalf of our clients. The ideal candidate will have extensive experience in B2B sales, particularly in the mid-market commercial and virtual card sectors. This role requires a deep understanding of commercial banking and the ability to drive sales growth within a global bank’s North America sales team.

The Details:

• Location: Remote (NYC area preferred)
• Duration: 12 months
• Benefits:  We do offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on!

What You’ll Do:

• Educate and motivate the North America commercial banking sales team (~300 bankers) to understand and sell commercial and virtual card products to the existing client book.
• Influence the commercial banking team to prioritize commercial and virtual card products over other solutions.
• Create a card sales culture that motivates the banking sales team to understand how to sell specific card products and address customer pain points through value propositions.
• Train bankers on the value proposition, use cases, opportunity identification, competitive positioning, and other dimensions of selling commercial and virtual cards.
• Create specialized materials, sales collateral, case studies, and “stories” to translate card benefits into a sale. Train bankers to leverage collateral and guides to sell the card product.
• Provide coaching and feedback to bankers to drive success during banking team meetings. Foster an environment of collaboration and mentorship to reach target goals.
• Monitor the sales funnel from prospect to close and create metrics to improve performance. Provide management with revenue reporting, goal achievement, etc.
• Co-create supplier analytics reports, pitch decks, and utilize internal sales tools to increase revenue.
• Track the sales pipeline and report to leadership.
• Leverage prior experience in the mid-market segment and commercial and virtual cards to enable the organization to achieve aggressive growth targets.

Qualifications

Qualifications:

• 10+ years of middle market commercial and virtual card sales experience.
• 3+ years of experience coaching mid-market sales teams to exceed sales targets.
• Excellent verbal, written, and interpersonal communication skills.
• Expert in Payments.
• Sales training experience required.
• Expertise with the consultative selling model.
• Strong ability to take initiative and confidently direct customer interactions.

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Job Description

We are seeking a Mid-Market Commercialization Consultant who will operate as a lead for commercialization projects on behalf of our clients. The ideal candidate will have extensive experience in B2B sales, particularly in the mid-market commercial and virtual card sectors. This role requires a deep understanding of commercial banking and the ability to drive sales growth within a global bank’s North America sales team.

The Details:

• Location: Remote (NYC area preferred)
• Duration: 12 months
• Benefits:  We do offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on!

What You’ll Do:

• Educate and motivate the North America commercial banking sales team (~300 bankers) to understand and sell commercial and virtual card products to the existing client book.
• Influence the commercial banking team to prioritize commercial and virtual card products over other solutions.
• Create a card sales culture that motivates the banking sales team to understand how to sell specific card products and address customer pain points through value propositions.
• Train bankers on the value proposition, use cases, opportunity identification, competitive positioning, and other dimensions of selling commercial and virtual cards.
• Create specialized materials, sales collateral, case studies, and “stories” to translate card benefits into a sale. Train bankers to leverage collateral and guides to sell the card product.
• Provide coaching and feedback to bankers to drive success during banking team meetings. Foster an environment of collaboration and mentorship to reach target goals.
• Monitor the sales funnel from prospect to close and create metrics to improve performance. Provide management with revenue reporting, goal achievement, etc.
• Co-create supplier analytics reports, pitch decks, and utilize internal sales tools to increase revenue.
• Track the sales pipeline and report to leadership.
• Leverage prior experience in the mid-market segment and commercial and virtual cards to enable the organization to achieve aggressive growth targets.

Qualifications

Qualifications:

• 10+ years of middle market commercial and virtual card sales experience.
• 3+ years of experience coaching mid-market sales teams to exceed sales targets.
• Excellent verbal, written, and interpersonal communication skills.
• Expert in Payments.
• Sales training experience required.
• Expertise with the consultative selling model.
• Strong ability to take initiative and confidently direct customer interactions.

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Job Description

You will be instrumental in architecting data solutions, designing and optimizing data pipelines, and operationalizing machine learning models. This position requires a strong technical foundation, strategic thinking, and the ability to collaborate across disciplines to drive innovation and data-driven excellence.

In this role, you will take lead in creating high-quality backend architectures that leverage cloud technologies. Your architectural vision will be a blend of business acumen, performance optimization, cost-efficiency, and practical implementation.

As the Lead, you will orchestrate the project’s technical directions, ensuring alignment with overarching goals while guiding and mentoring your colleagues. You will nurture a collaborative environment where team members thrive and feel empowered. You will be responsible for helping the organization upskill for upcoming needs in the evolving landscape of Machine Learning Ops and Generative AI.

You will get the ability to be creative in the world of big data technology without the encumberment of a large-scale organization. You will have the freedom to explore the latest technologies out there to not only improve your own skillset, but also help the organization improve.

Qualifications

• Strong experience with containerization, orchestration, CI/CD deployment and the AWS cloud platform.
• Machine learning operations project experiences with relevant experience in SageMaker.
• Good understanding of databases/warehouses.
• Previous experience deploying data products end to end.
• Experience with implementing governance frameworks, data privacy regulations, and compliance standards.
• Previous experience architecting efficient processing frameworks.
• Proven leadership experience in machine learning operations, including managing teams responsible for model deployment, monitoring, and maintenance.
• Ability to collaborate with cross-functional teams and drive technical decisions.
• Excellent communication and leadership skills.

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Job Description

• Design and implement secure authentication and authorization solutions using AWS Cognito. 

• Deploy and manage Cognito user pools, identity pools, and federated identities to support a large set of users via Terraform. 

• Write custom Lambda functions that can be added as triggers in Cognito user pools. 

• Implement multi-factor authentication (MFA) policies in Cognito. 

• Integrate Cognito with other AWS services like Lambda, API Gateway, S3, and DynamoDB to create comprehensive security architectures. 

• Work with frontend and backend development teams to ensure secure and seamless integration of Cognito for user management and authentication. 

• Monitor, troubleshoot, and optimize Cognito implementations for performance and security. 

• Stay up to date with AWS security practices and Cognito updates to ensure our solutions are robust against threats. 

• Document architectures, procedures, and processes for managing and deploying Cognito solutions. 

• Provide technical guidance and training to other team members on AWS Cognito and security best practices. 

Qualifications

• Studies in Computer Science, Engineering or equivalent. 

• Experience with Terraform for deploying infrastructure as code (IaC). 

• Familiarity with RESTful API development and integration is a plus. 

• Knowledge of web security protocols and frameworks. 

• Experience with continuous integration and continuous deployment (CI/CD) pipelines. 

• Strong understanding of OAuth 2.0, OpenID Connect, SAML, and JWT. 

• Excellent problem-solving skills and the ability to work independently or as part of a team. 

• Knowledge of AWS is required, and AWS Certified Solutions Architect or AWS Certified Security Specialty certification is a plus. 

• Experience with programming languages such as Python or JavaScript is a plus. 

• Strong communication and documentation 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 a Software Engineer working with AWS services. 

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Job Description

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 Data Science leaders have the business acumen to apply Data Science to many different business models and situations. 
We expect the Data Science Directors 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 Directors 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. As our new Data Science Director you will:

• Provide ethical and positive leadership that motivates direct reports and develops their talent and skillset while achieving results.
• Run experiments in different marketing channels. Design and analyze experiments. Hands on a must. Lead a team of Data Scientists to design, monitor and evaluate marketing experiments intended to validate MMM assumptions.
• 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
• Expert in Experimentation and measurement in marketing. Knowledge of how to run experiments in different marketing channels. Sufficient statistical knowledge to design and analyze experiments. Hands on a must. Data science team to design, monitor and evaluate marketing experiments intended to validate MMM assumptions.
• 5+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization
• 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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Job Description

Our Fortune 100 financial services client is seeking a Commercialization Card Program Managerto lead the implementation and management of various initiatives within a leading commercial bank to expand their commercial card program.  The individual will lead multiple workstreams, build a governance model, and ensure that the program meets business objectives and customer needs.

The Commercial Card Program Manager will also collaborate cross-functionally with various stakeholders such as product managers, sales teams, operations teams, and vendors to deliver high-quality solutions and services.

The Details:

• Location: Remote (NYC area preferred)
• Duration: 12 months with potential for extension
• Benefits:  We do offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on!

What you’ll do:

• Define the scope, objectives, and deliverables of the commercial card program and align them with the business strategy and customer expectations.
• Develop and maintain a detailed project plan, schedule, and budget, and track the progress, risks, issues, and dependencies of the program.
• Establish and manage a governance model and a communication plan for the program, and ensure compliance with the policies, standards, and regulations.
• Coordinate and facilitate the collaboration and communication among the internal and external stakeholders; manage the expectations and escalations of the program.
• Provide guidance and support to the project teams and ensure the quality and timely delivery of the program deliverables.
• Monitor and evaluate the performance and benefits of the program, and report the status, achievements, and lessons learned to the senior management and sponsors.
• Identify and implement best practices and continuous improvement opportunities for the program management process and methodology.

Qualifications

Required Qualifications:

• Bachelor's degree in business, finance, or related field, or equivalent work experience.
• At least 10-15 years of experience minimum, with relevant program management experience in a commercial bank focused on commercial card programs – ideally in a large money center bank (e.g., Citi, Chase, Bank of America).
• Exceptional ability to work across functions (Treasury, Commercial, etc.) to drive program success.
• Familiarity with core commercial card activities including virtual card sales, sales account management, supplier enablement, credit risk underwriting,
• Familiarity with sales activities around verticals including professional services, manufacturing, healthcare, and education. 
• Proven track record of successfully managing and delivering complex and large-scale programs, involving multiple stakeholders and vendors.
• Strong knowledge of commercial card products, services, and market trends.
• Excellent communication, presentation, and interpersonal skills, with the ability to influence and negotiate at all levels.
• Strong analytical, problem-solving, and decision-making skills, with the ability to handle ambiguity and uncertainty.
• Proficient in project management tools and software, such as MS Project, Excel, PowerPoint, etc.
• Certification in project management, such as PMP, PgMP, or PRINCE2, is a plus.

Preferred Qualifications:

• Master's degree in business, finance, or related field.
• Experience in working with cross-functional and global teams.
• Knowledge of the agile and waterfall methodologies and frameworks.
• Experience in managing programs in the financial services, banking, or payments industry.

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Job Description

• Design and implement secure authentication and authorization solutions using AWS Cognito. 

• Deploy and manage Cognito user pools, identity pools, and federated identities to support a large set of users via Terraform. 

• Write custom Lambda functions that can be added as triggers in Cognito user pools. 

• Implement multi-factor authentication (MFA) policies in Cognito. 

• Integrate Cognito with other AWS services like Lambda, API Gateway, S3, and DynamoDB to create comprehensive security architectures. 

• Work with frontend and backend development teams to ensure secure and seamless integration of Cognito for user management and authentication. 

• Monitor, troubleshoot, and optimize Cognito implementations for performance and security. 

• Stay up to date with AWS security practices and Cognito updates to ensure our solutions are robust against threats. 

• Document architectures, procedures, and processes for managing and deploying Cognito solutions. 

• Provide technical guidance and training to other team members on AWS Cognito and security best practices. 

Qualifications

• Studies in Computer Science, Engineering or equivalent. 

• Experience with Terraform for deploying infrastructure as code (IaC). 

• Familiarity with RESTful API development and integration is a plus. 

• Knowledge of web security protocols and frameworks. 

• Experience with continuous integration and continuous deployment (CI/CD) pipelines. 

• Strong understanding of OAuth 2.0, OpenID Connect, SAML, and JWT. 

• Excellent problem-solving skills and the ability to work independently or as part of a team. 

• Knowledge of AWS is required, and AWS Certified Solutions Architect or AWS Certified Security Specialty certification is a plus. 

• Experience with programming languages such as Python or JavaScript is a plus. 

• Strong communication and documentation 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 a Software Engineer working with AWS services. 

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Job Description

People are everything here at BLEND360.  We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at BLEND360, you will:

• Collaborate with a smart, passionate group of people who are invested in your success.
• You will work as part of our global Data Science team to provide data driven solutions for our customers using state-of-the-art methods and tools. 
• Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement.
• Thrive with a company and leadership team who are committed to growth.

We spend the majority of our time on getting data into proper shape, performing statistical analyses, developing predictive models and machine learning algorithms to solve clients’ business problems. 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.

Main Responsibilities

The role will also include significant consulting / client facing work comprised of:

• Working with practice leaders and clients to understand clients’ business problem, industry context, data sources, potential risk and constraints.
• Problem solve with practice leaders to translate the business program into a solvable Data Science problem, formulate different approaches, outline pros and cons for each approach
• Work with practice leaders to get client feedback, get alignment on approaches, deliverables, and overall timeline
• Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings
• Create insightful and/or predictive summary variables from granular-level data
• Develop, validate, and cross-validate predictive models and/or machine learning algorithms using Advanced Data Science techniques and tools
• Document predictive models / machine learning results that can be incorporated into client-deliverable documentation
• Document key insights, recommend actions client could take, and quantify business impact
• Assist client to turn models and algorithms into implementable production codes

Qualifications

• Master's degree in Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Sciences, Engineering
• 3+ years of Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting, optimization
• Experience with two or more Advanced Data Science software languages (R, Python, Matlab, Perl, Java, PHP)
• Experience with structured or un-structured data analysis and tools (SQL, Hadoop, Spark, NoSQL, MySQL, MariaDB, Hive, Pig, etc.)
• Comfortable with cloud-based platforms (AWS, Azure, Google)
• Experience with Google Analytics, Adobe Analytics, Optimizely a plus
• Experience in digital marketing a plus
• Experience Leading a Team/Projects 
• Strong communication skills

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Job Description

People are everything here at BLEND360.  We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at BLEND360, you will:

• Collaborate with a smart, passionate group of people who are invested in your success.
• You will work as part of our global Data Science team to provide data driven solutions for our customers using state-of-the-art methods and tools. 
• Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement.
• Thrive with a company and leadership team who are committed to growth.

We spend the majority of our time on getting data into proper shape, performing statistical analyses, developing predictive models and machine learning algorithms to solve clients’ business problems. 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.

Main Responsibilities

The role will also include significant consulting / client facing work comprised of:

• Working with practice leaders and clients to understand clients’ business problem, industry context, data sources, potential risk and constraints.
• Problem solve with practice leaders to translate the business program into a solvable Data Science problem, formulate different approaches, outline pros and cons for each approach
• Work with practice leaders to get client feedback, get alignment on approaches, deliverables, and overall timeline
• Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings
• Create insightful and/or predictive summary variables from granular-level data
• Develop, validate, and cross-validate predictive models and/or machine learning algorithms using Advanced Data Science techniques and tools
• Document predictive models / machine learning results that can be incorporated into client-deliverable documentation
• Document key insights, recommend actions client could take, and quantify business impact
• Assist client to turn models and algorithms into implementable production codes

Qualifications

• Master's degree in Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Sciences, Engineering
• 3+ years of Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting, optimization
• Experience with two or more Advanced Data Science software languages (R, Python, Matlab, Perl, Java, PHP)
• Experience with structured or un-structured data analysis and tools (SQL, Hadoop, Spark, NoSQL, MySQL, MariaDB, Hive, Pig, etc.)
• Comfortable with cloud-based platforms (AWS, Azure, Google)
• Experience with Google Analytics, Adobe Analytics, Optimizely a plus
• Experience in digital marketing a plus
• Experience Leading a Team/Projects 
• Strong communication skills

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Job Description

Seeking a growth focused sales professional who has successfully created positive impact through year-on-year business expansion.  You know – and have run all phases of a sales cycle, including qualification, sales pursuit and close by applying deep sales process and technical expertise. You develop relationships with key buyers and decision-makers at new and existing clients by using a differentiated roadmap and framework leveraging the latest cloud-based technologies.

The work:

• Origination of data opportunities ranging from legacy data migration to modernization (ex: data fabric) type opportunities
• Ability to convince clients on the right data solution leveraging their cloud investments
• Create solutions to complex technology business problems/opportunities requiring in-depth knowledge of client buyer needs.
• Interacts with senior management levels at clients and within Blend; determines pursuit strategies, develops client messaging plans and relationships, and applies industry-leading Cloud transformation strategies and practices.
• Has latitude in decision-making and determining objectives and approaches to critical assignments.
• Operates within large teams and directs specific team sales activities.
• Flexibility to travel

Qualifications

• Extensive experience originating and closing deals in the professional tech services space 
• Understanding of data concepts and platforms like Snowflake, Databricks
• Experience in architecting traditional and cloud data solution for clients
• Minimum of 10+ years’ Sales Pursuit experience
• Minimum of years’ experience in direct sales with quota of $10M+

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Job Description

• Development of web applications using React and .NET 

• Application deployment and Terraform orchestration. 

• Work together with internal business partners to identify and implement improvements.  

• Manage the design, development, and implementation of software solutions. 

• Promote, implement, and evolve development best practices. 

Qualifications

• Studies in Computer Science or equivalent. 

• Proficiency in C#/.NET and React. 

• Knowledge of AWS is a must. 

• Familiarity with DevOps tools (Terraform, Jenkins, CI/CD pipelines) among others. 

• Extensive experience with SQL or relational databases with Snowflake being a plus. 

• Groovy is a plus 

• The ability to review code successfully to make projects come to term. 

• Able to collaborate effectively with others as well as perform tasks autonomously. 

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 5+ years as a Software Architect working especially with .NET and React.  

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