Senior Product Manager - Data & AI

About the Role

Key Responsibilities

• Define and evolve the multi-quarter roadmap for data platforms, analytics dashboards, and AI services-ensuring alignment to both business KPIs and user needs.
• 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.
• 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.
• 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.
• Establish and track KPIs such as adoption, engagement, model accuracy, and ROI; use data-informed insights to prioritize enhancements and course-correct rapidly.
• 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.
• 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.

Requirements

• 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.
• 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.
• 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.

Nice to Have

• 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).

Benefits & Perks

• Health, dental and vision insurances
• Retirement savings plan
• Paid time off
• Health savings account
• Flexible spending accounts
• Life insurance
• Disability insurance
• Tuition reimbursement