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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Dir, Innovative Enterprise Data Product Lead - **Company:** Novartis Group - **Location:** East Hanover, NJ, United States (Remote available) - **Experience:** Expert - **Salary:** $185,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Governance, Metadata, Meta-Data Management, Reference Data, Enterprise Data Management, Data Strategy, Data Management - **Published:** August 22, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88119133/1 ## About the Role Novartis is seeking an experienced Director to lead product strategy, delivery, adoption, and governance for Payer, HCP, Omnichannel, Engagement. The ideal candidate brings product leadership, cross-functional influence, and the ability to partner with DEO to execute strategy while translating business priorities into trusted, reusable, AI-ready data products., * Education: Bachelor's degree in related field isrequired; Master of Science and/or MBA strongly preferred * Minimum 10+ years of experience in pharmaceutical, healthcare, technology, data, analytics, or consulting, with a strong focus on data products, data strategy, product management, or analytics enablement. * Minimum 5+ years of domainexpertisein reference data, master data, metadata management, data standards, data governance, stewardship, semantic models, product management, and AI-ready data foundations. * Proven ability to define product vision, roadmap, prioritization, use cases, adoption plans, value measures, and governance routines in a complex matrixed environment. * Strong understanding of semantic data products, business definitions, data quality, metadata, lineage, standards, and AI-ready data consumption patterns. * Experience partnering with data enablement, platform, technology, analytics, business, governance, and operations teams to execute strategy and scale data products. * Excellent communication skills, with the ability to translate business needs into data product requirements and present complex concepts clearly to senior leaders and cross-functional stakeholders. * Must understand both data and the relevant business/domain context to bridge technical requirements with business needs, ensuring solutions are practical, scalable, and aligned to enterprise priorities. * Ability to thrive in a fast-paced environment, manage ambiguity, and adapt to changing business priorities whilemaintainingfocus on measurable outcomes., Brand Analysis, Brand Awareness, Commercial Excellence, Cross-Functional Collaboration, Customer Engagement, Customer Insights, Digital Marketing, Influencing Skills, Inspirational Leadership, Media Campaigns, People Management, Product Marketing, Product Roadmap, Return on Investment (ROI), Stakeholder Engagement, Stakeholder Management, Thought Leadership, Trend Analysis ## Description This Director role sits within Data Products and Foundations, under Data Partnerships, Innovation and Products. The role reports to the Executive Director, Innovative Data Offerings and Products and partners closely with DEO (Data Enablement Organization) to execute the strategy set for trusted, reusable, AI-ready data products. This role owns enterprise data foundations across reference data, master data, metadata, standards, stewardship, and business definitions, defining the vision, roadmap, prioritization, adoption plan, and value measures needed to improve data trust, consistency, discoverability, interoperability, metadata coverage, standards adoption, and AI-ready enterprise foundations. The Director will ensure products are defined in innovative ways that go beyond datasets, embedding business meaning, rules, metrics, lineage, metadata, and context so they can be reused by business users, analytics teams, and AI-enabled solutions., * Own the product strategy, roadmap, prioritization, and lifecycle management for Reference Data, Master Data, Metadata, Standards. * Define products in innovative ways by embedding business meaning, semantic definitions, reusable measures, standards, metadata, lineage, and clear consumption patterns directly into the product design. * Work closely with DEO (Data Enablement Organization) to translate the strategy into executable plans,align ondelivery priorities, remove operational barriers, and ensure products are scalable, reliable, and ready for enterprise consumption. * Partner across business, analytics, technology, Data Partnerships, Innovation and Products, and Data Products and Foundations teams to prioritize high-value capabilities and reduce duplication. * Drive product adoption, stakeholder engagement, product performance management, issue prioritization, and continuous enhancement based on business needs and user feedback. * Establish product standards, governance routines, intake processes, service expectations, and value measures that ensure reliability, reuse, compliance, scalability, and business impact., The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Big Business, Big Barriers? 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