Data Marketplace Product Owner

Job Description

The Position

We are seeking an innovative Data Marketplace Product Owner to drive the evolution of Discover's marketplace experience and enable our connected data-ecosystem transformation. As part of the Discover product leadership team, you will own the marketplace product that connects data producers and consumers across The enterprise, enabling a thriving ecosystem where data products are shared, consumed, and valued as first-class products. This role requires a unique blend of product management excellence, deep understanding of data marketplace dynamics, and the ability to build experiences that drive adoption, trust, and value creation in a federated connected data-ecosystem architecture.

Reporting to the Group Product Manager for Discover, you will work alongside the Search and Cataloging Product Managers to deliver a cohesive platform that transforms how Our employees discover, access, and derive value from enterprise data products.

What will you do?

Define and execute the product vision, strategy, and roadmap for the Discover Marketplace, focused on enabling seamless interactions between data product producers and consumers across divisions.

Drive consumer growth initiatives by developing features that enhance user experience, increase data product adoption, and expand the active user base across all divisions.

Design and implement mechanisms that showcase data product value, including usage metrics, consumer feedback, ratings, and social proof features that build trust and discoverability.

Create engagement loops that encourage data product producers to publish high-quality, well-documented products and motivate consumers to explore, request access, and provide feedback.

Develop and track marketplace health metrics including active users, data product adoption rates, time-to-access, user satisfaction, and cross-domain data consumption patterns.

Build marketplace capabilities that support decentralized domain ownership while ensuring global interoperability and standardization across the connected data-ecosystem.

Partner with data governance teams to embed federated governance principles into the marketplace experience, enabling domains to maintain autonomy while adhering to enterprise standards.

Design self-service workflows for data product registration, access requests, approval processes, and provisioning that balance ease of use with compliance requirements.

Implement features that support data product contracts, SLAs, and quality commitments, making governance visible and actionable for both producers and consumers.

Enable polyglot access patterns that allow diverse user personas (analysts, data scientists, ML engineers, application developers) to consume data products in their native modes.

Build scalable tools and interfaces that empower data stewards to manage data products, monitor usage, respond to access requests, and maintain product health.

Create operational dashboards and analytics that provide visibility into marketplace performance, adoption trends, and operational bottlenecks.

Design automation capabilities that reduce manual overhead for common steward tasks including access provisioning, compliance checks, and usage reporting.

Develop templated workflows and reusable components that enable divisions to extend marketplace capabilities without requiring core platform changes.

Establish feedback loops (positive and negative) that continuously improve the marketplace based on producer and consumer insights.

Design marketplace features that support the convergence of operational and analytical data products, enabling real-time and batch consumption patterns.

Build discovery and access mechanisms that work across diverse data product types (APIs, event streams, data sets, ML models) and underlying platforms.

Create interoperability standards and showcase capabilities that encourage cross-domain data product composition and value creation.

Enable data product addressability and versioning that maintains continuity of access even as products evolve.

Support integration patterns that allow data products to be consumed by both human users and automated systems.

Translate business requirements from diverse stakeholders across divisions into actionable product specifications for engineering teams.

Prioritize and manage the product backlog using data-driven prioritization frameworks that maximize business value and align with Discover roadmap themes.

Drive continuous product discovery through user research, usability testing, and field visits to understand pain points and opportunities across divisions.

Lead release planning and execution, including go-to-market strategies, enablement materials, training content, and stakeholder communications.

Serve as the bridge between technical teams, business stakeholders, data stewards, and end users, ensuring transparency and alignment on priorities.

Monitor total cost of ownership (TCO) and optimize for operational efficiency, scalability, and performance.

Qualifications, Skills & Experience Required

Bachelor's or Master's degree in Computer Science, Information Systems, Business, Engineering, or related field.

7+ years of product management experience in enterprise software, data platforms, marketplace/exchange platforms, or SaaS products.

Proven track record of building and scaling marketplace, platform, or two-sided network products that connect producers and consumers.

Deep understanding of data product concepts, connected data-ecosystem architecture, and federated governance principles.

Experience designing self-service experiences for technical and business users with varying levels of data literacy.

Strong ability to define and measure product success using quantitative metrics (adoption, engagement, satisfaction) and qualitative feedback.

Demonstrated success in driving user adoption and behavior change in enterprise environments.

Experience working with cross-functional teams including engineering, UX/UI, data governance, security, and business stakeholders.

Excellent communication and stakeholder management skills with ability to influence without authority across organizational boundaries.

Strong analytical and problem-solving skills for assessing complex business problems and designing elegant solutions.

Proficiency with agile methodologies, lean product development, and continuous delivery practices.

Familiarity with cloud platforms (AWS preferred), APIs, and distributed systems concepts.