Senior Product Manager - Data & AI

Location:

Remote, with a requirement to reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Washington, DC; Dallas, TX; or San Jose, CA.

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).