Senior Specialist , Data Analysis

Job Description

Senior Specialist Data Product Owner

Emerging Data Products & Solutions Digital Human Health (DHH)

About the Role

Our Digital Human Health (DHH) organization is transforming how data is leveraged to create value for patients healthcare providers and business stakeholders. Within DHH the Data Strategy Products & Innovation (DSPI) team is responsible for building and scaling enterprise data products that enable trusted insights advanced analytics AI-driven decision making and business transformation across Human Health.

The Senior Specialist Data Product Owner Emerging Data Products & Solutions will play a critical role in shaping delivering and scaling strategic data products that serve as foundational assets for analytics content intelligence customer engagement campaign measurement decision support and AI-enabled solutions across DHH.

This role will partner closely with business stakeholders analytics teams data strategy leaders technology teams and cross-functional product squads to define product vision establish roadmaps manage delivery execution and drive adoption of enterprise data products. The successful candidate will help transform complex and fragmented data landscapes into scalable governed reusable and AI-ready data assets that power a connected data ecosystem across DHH..

Primary Responsibilities

Product Strategy & Vision

• Define and own the vision strategy and roadmap for emerging data products and foundational data solutions across DHH.

• Identify opportunities to create scalable reusable and governed data products that support analytics reporting AI/GenAI content intelligence customer engagement and business decision-making.

• Shape enterprise data products that connect business domains accelerate insight generation and improve the accessibility and usability of trusted data assets.

• Establish product success metrics adoption frameworks and value realization measures.

Content Campaign & Engagement Data Products

• Define and manage data products supporting the end-to-end content and campaign measurement lifecycle including content creation approval activation engagement and performance measurement.

• Drive the development of scalable data foundations for content campaign customer interaction and engagement analytics.

• Establish standards for metadata management taxonomy tagging harmonization and business definitions to improve discoverability reuse and analytical value.

• Partner with business and analytics stakeholders to enable insights across content effectiveness omnichannel engagement campaign performance and customer interactions.

• Ensure content and engagement data products are structured to support advanced analytics Agentic and GenAI use cases.

Data Product Design & Delivery

• Define functional requirements business rules data specifications and product acceptance criteria.

• Collaborate with data engineering architecture analytics and platform teams to design and deliver scalable data products.

• Balance global and local market needs while maximizing product reuse standardization and scalability.

• Shape business-ready datasets integrated data models and reusable product capabilities that support downstream analytics and business consumption.

• Ensure solutions align with enterprise data architecture governance standards and long-term product strategies.

Stakeholder Collaboration & Value Management

• Build strong partnerships across DSPI Data Strategy Analytics Commercial Technology and Business teams.

• Facilitate cross-functional alignment to ensure successful delivery and adoption of data products.

• Develop executive-ready communications value stories business cases and product adoption materials.

• Drive stakeholder engagement through workshops product demonstrations onboarding sessions and capability enablement.

Governance Data Quality & AI Readiness

• Establish and maintain governance frameworks business rules metadata standards data quality controls and product documentation.

• Ensure data products are trusted scalable reusable and fit for analytical and AI-driven consumption.

• Partner with enterprise data governance teams to improve consistency lineage transparency and stewardship across data domains.

• Enable Agentic AI and GenAI readiness through governed taxonomies contextual metadata semantic relationships and standardized business definitions.

Required Experience and Skills

• Bachelors degree in Data Science Computer Science Engineering Information Systems Business Life Sciences or a related discipline.

• 9 years of experience in Data Product Management Product Ownership Data Strategy Data Governance Business Analytics or related functions.

• Experience defining and delivering enterprise-scale data products data platforms analytics solutions or information management capabilities.

• Strong understanding of data product lifecycle management Agile methodologies and product operating models.

• Experience working with Azure Databricks Snowflake Power BI or similar enterprise data platforms.

• Understanding of Medallion architecture and underlying principles.

• Experience working with content engagement customer campaign or commercial data domains.

• Understanding of metadata management taxonomy design data harmonization governance lineage and data quality frameworks.

• Demonstrated ability to translate complex business needs into scalable and reusable data product solutions.

• Strong stakeholder management and influencing skills within a matrixed environment.

• Excellent communication storytelling and executive presentation skills.

• Proven ability to manage multiple priorities and lead cross-functional initiatives from concept through delivery.

Preferred Experience and Skills

• Experience in Life Sciences Pharmaceutical Biotechnology Healthcare or Consulting industries.

• Experience supporting content operations customer engagement omnichannel analytics campaign measurement or commercial data ecosystems.

• Experience with commercial content and digital asset management platforms (e.g. content management and promotional material systems such as Veeva Vault PromoMats or equivalent).

• Experience designing and implementing metadata taxonomy tagging knowledge management or content intelligence solutions.

• Familiarity with modern cloud data platforms data product architectures and domain-driven data management principles.

• Experience Agentic and GenAI initiatives through scalable and governed data foundations.

• Understanding of customer engagement analytics content effectiveness measurement campaign performance analytics and digital interaction data.

• Experience with Agile delivery frameworks such as Scrum or SAFe.

• Experience partnering with global stakeholders vendors and multi-disciplinary product teams.

Required Skills:

Business Analysis Business Informatics Business Intelligence (BI) Cloud Technology Data Compliance Data Engineering Data Governance Data Integrity Data Management Data Management Platforms Data Modeling Data Strategies Data Taxonomy Data Visualization Enterprise Data Management Enterprise Data Modeling Governance Framework Measurement Analysis Scalable Architectures Stakeholder Relationship Management Structured Data Technical Requirements Gathering Usage Analysis Value Realization Waterfall Model

Preferred Skills:

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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

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

1st - Day

Valid Driving License:

Yes

Hazardous Material(s):

NA

Job Posting End Date:

09/28/2026

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.