Data Product Manager
Core
VP-level Data Product Manager shaping the next generation of an enterprise data platform, bridging strategy and execution to enable analytics, AI, and business innovation.
Role type
VP, Data Product Manager
Builds
Enterprise data platform, data pipelines, and AI-ready data capabilities
Domain
Financial services / Data Engineering & AI
Deliverable
production ML models | infrastructure
Required skills
Data engineering product ownership, backlog management, data architecture, pipeline orchestration, governance frameworks, Agile methodologies, stakeholder alignment, technical roadmap planning
Preferred skills
Financial services domain experience, Lakehouse architectures, metadata-driven automation, AI Ops for data platforms
Technologies
Databricks, dbt, Fivetran, Kafka, Azure Data Services, Collibra, Tableau, GitHub Copilot, Databricks Assistant
Responsibilities
Own and manage the data engineering backlog; Partner with Business Units and Tech Leadership to align data products with priorities; Collaborate with engineers to translate vision into actionable deliverables; Advocate for governed, scalable, and AI-ready data; Champion AI-assisted development and automation; Leverage AI/ML-based monitoring tools; Drive the Data Platform roadmap; Mentor junior Scrum Masters and influence agile practices
Seniority
VP, strategy & mentorship
