Senior Product Manager - Data & AI

Location:

This is a remote position, however, the candidate must reside within 30 miles of one of the following locations: Portland ME, Chicago IL, Boston MA, Washington DC, Dallas TX, San Jose CA, Seattle WA, or New York City NY.

About the WEX AI & Data Team
WEX’s AI & Data organization is on a mission to transform financial services through data-driven insights and intelligent automation. We build scalable data platforms, advanced analytics capabilities, and AI/ML frameworks that empower our technology, digital, and business partners to turn raw data into strategic, customer-facing solutions.

About the Role
As a Sr Product Manager, Data and AI, you will own the vision, strategy, and roadmap for our data-centric and AI-powered product portfolio. You’ll partner closely with stakeholders across engineering, data science, UX, digital, and business teams to translate customer and internal needs into clear product requirements—balancing innovation in analytics and generative AI with a deep sense of customer empathy.

How You’ll Make an Impact

• Data & AI Product Strategy

  Define and evolve the multi-quarter roadmap for data platforms, analytics dashboards, and AI services—ensuring alignment to both business KPIs and user needs.

• Customer Empathy & Thought Partnership

  Lead discovery sessions, customer interviews, and workshops with internal and external users to surface pain points, desired outcomes, and friction in current workflows. Act as a trusted advisor to partners in tech, digital, and other lines of business.

• Cross-Functional Collaboration

  Serve as the product voice in agile squads alongside engineers, data scientists, cloud architects, UX designers, and compliance teams—facilitating clear communication, priority alignment, and shared accountability.

• Delivery & Performance Oversight

  Translate requirements into well-scoped user stories and acceptance criteria; guide sprint planning and agile ceremonies; identify and remove blockers to keep teams focused on high-value work.

• Performance Measurement & Iteration

  Establish and track KPIs such as adoption, engagement, model accuracy, and ROI; use data-informed insights to prioritize enhancements and course-correct rapidly.

• Go-to-Market & Adoption

  Collaborate with marketing, sales, enablement, and support to craft launch plans, training materials, and internal documentation—driving awareness and adoption of new data and AI capabilities.

• Market & Technology Awareness

  Stay abreast of emerging trends in data warehouses, lakehouses, BI/visualization tools, machine learning operations, and generative AI—surfacing opportunities to innovate and differentiate our platform.

Experience You’ll Bring

Technical & Analytical Fluency

• 7+ years in product management or related roles, with a focus on data platforms, analytics solutions, or AI/ML products.

• Strong understanding of data warehouses, lakehouse architectures, ETL/ELT pipelines, BI tools, and core AI/ML concepts.

Product Leadership & Customer-First Mindset

• Proven track record of driving products from discovery through launch and iteration in agile environments.

• Exceptional communication skills, with the ability to build consensus among diverse stakeholders and translate complex technical concepts into clear business narratives.

• Demonstrated customer empathy—able to champion user needs and craft intuitive experiences.

Collaboration & Strategic Thinking

• Experience working as a thought partner to engineering, data science, digital, and business leaders.

• Ability to balance long-term vision with short-term delivery demands, prioritizing ruthlessly to maximize impact.

Preferred Qualifications

• Experience with vector databases, retrieval-augmented generation (RAG) pipelines, or generative AI integration.

• Knowledge of data mesh, federated data access, or multi-tenant platform design.

• Background in financial services, payments, or other regulated industries.Experience with digital transformation initiatives or consultancy environments.

• Advanced degree (MBA, MS in Data Science, Computer Science, or related field).