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..
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.
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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
Bachelor's 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.
Preferred Skills
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