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.
Nice to have
- Experience with data governance frameworks and tools (e.g., Collibra, Alation, Informatica).
- Understanding of connected data-ecosystem, data fabric, or modern data architecture patterns.
- Background in building developer platforms, API marketplaces, or data exchange platforms.
- Knowledge of access control models, data security, and compliance requirements (GDPR, HIPAA, etc.).
- Experience with usage analytics, product instrumentation, and A/B testing frameworks.
- Familiarity with enterprise data cataloging, metadata management, and semantic data modeling.
- Understanding of data economics, data product pricing models, or internal transfer pricing.
- Experience in pharmaceutical, healthcare, or highly regulated industries.
- Knowledge of community building, network effects, and engagement strategies for platform products.
- Hands-on experience with data engineering workflows, ETL/ELT processes, or data pipeline orchestration.
What we offer
- Exciting work in a great team, global projects, international environment
- Opportunity to learn and grow professionally within the company globally
- Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases)
- Pension and health insurance contributions
- Internal reward system plus referral programme
- 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
- Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport Card
- Vodafone, Raiffeisen Bank and Foodora discount programmes
- Up-to-date laptop and iPhone
- Parking in the garage, showers, refreshments, massage chairs, library, music corner
- Competitive salary, incentive pay, and many more
Ready to take up the challenge? Apply now!
Know anybody who might be interested? Refer this job!
Required Skills:
Accountability, Asset Management, Benefits Management, Communication, Documentations, Management System Development, Product Management, Requirements Management, Stakeholder Relationship Management, Strategic Planning, System Designs
Preferred Skills:
Current Employees apply HERE
Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
Domestic/International
VISA Sponsorship:
No
Travel Requirements:
No Travel Required
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
06/8/2026
*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
