Data Marketplace Product Lead

Roles & Responsibilities

• Define and own the product vision, roadmap, and success measures for the Enterprise Data Marketplace.
• Translate EDOs marketplace strategy into a prioritized backlog of user capabilities, platform features, governance workflows, and adoption outcomes.
• Align marketplace priorities to enterprise data product strategy, data domain operating model, AI/ML enablement, analytics modernization, and self-service data consumption.
• Establish clear product outcomes tied to data discoverability, access efficiency, product reuse, user adoption, and business value realization.
• Use OKRs, North Star Metrics, and leading indicators to manage roadmap priorities and measure marketplace performance; this aligns with internal digital product management guidance that emphasizes OKRs, product vision, roadmap prioritization, product-market fit, and measurable outcomes.
• Own features for marketplace consumers and data product owners, such as search, filters, recommendations, product browsing, favorites, sharing, cart/checkout, justification capture, and access-status visibility.
• Partner with design, research, and business teams to validate personas, jobs-to-be-done, usability, and adoption barriers.
• Embed governance, data quality, security, auditability, and compliance requirements into marketplace product capabilities.
• Serve as the product lead across business, technology, design, governance, architecture, agile, vendor, and platform teams.
• Coordinate delivery cadence, cross-functional alignment, roadmap tradeoffs, release planning, and value realization.
• Partner closely with technology leads, data architects, data engineers, UX/design, agile delivery leads, vendor partners, and domain stakeholders.
• Drive clarity across epics, user stories, dependencies, release scope, acceptance criteria, and adoption readiness.
• Partner with architecture and engineering teams to define how the marketplace integrates with Snowflake, Databricks, AWS RDS, Collibra, metadata catalogs, identity systems, entitlement platforms, and enterprise access workflows.
• Build and execute adoption strategies for consumers, publishers, reviewers, domain teams, and platform stakeholders.
• Monitor adoption and feedback signals through product analytics, product reviews, comments, active users, access requests, and engagement metrics.
• Partner with finance, platform, and data teams to define FinOps transparency, subscription visibility, cost accountability, and marketplace value tracking.

Experience / Qualifications

• Bachelor’s degree in Business, Computer Science, Information Systems, Data Management, Engineering, Analytics, or related field; equivalent work experience may be considered.
• 6+ years of experience in product management, digital product delivery, data products, data platforms, analytics, governance, or enterprise technology delivery.
• Experience defining product vision, roadmap, backlog, user stories, acceptance criteria, adoption metrics, and business outcomes.
• Experience working with data platforms, data catalogs, metadata, data quality, data governance, access management, or enterprise data products.
• Strong understanding of data product concepts, including product ownership, product lifecycle, metadata, data quality, lineage, SLAs, usage metrics, and business value.
• Strong stakeholder management skills with the ability to influence across matrixed teams.
• Strong written and verbal communication skills, including ability to present product strategy, roadmap, risks, tradeoffs, and outcomes to senior leaders.
• Experience with Agile delivery methods, product discovery, backlog grooming, sprint planning, and delivery governance.
• Ability to operate in a regulated environment with attention to risk, compliance, security, privacy, and control requirements.
• Experience with Snowflake, Databricks, AWS, Azure, Collibra
• Experience developing OKRs, KPIs, North Star Metrics, product analytics, adoption dashboards, and value realization reporting.
• Experience partnering with UX/design teams on personas, journey maps, prototypes, usability testing, and jobs-to-be-done.