Dir, Innovative Enterprise Data Product Lead
Novartis
August 24, 2026
Remote
United States
IT
Key Responsibilities:
- Own product strategy, roadmap, prioritization, and lifecycle management for Reference Data, Master Data, Metadata, and Standards.
- Define data products beyond datasets by embedding business meaning, semantic definitions, reusable measures, standards, metadata, lineage, and consumption patterns.
- Partner with DEO (Data Enablement Organization) to translate strategy into executable plans, align delivery priorities, remove operational barriers, and ensure scalable, reliable enterprise consumption.
- Collaborate across business, analytics, technology, Data Partnerships, Innovation and Products, and Data Products and Foundations to prioritize capabilities and reduce duplication.
- Drive adoption, stakeholder engagement, product performance management, issue prioritization, and continuous enhancement.
- Establish product standards, governance routines, intake processes, service expectations, and value measures for reliability, reuse, compliance, scalability, and business impact.
Qualifications / Requirements:
- Bachelor’s degree required; Master of Science and/or MBA strongly preferred.
- 10+ years in pharma/healthcare/tech/data/analytics/consulting with focus on data products, data strategy, product management, or analytics enablement.
- 5+ years domain expertise in reference/master data, metadata management, data standards, data governance/stewardship, semantic models, product management, and AI-ready data foundations.
- Ability to define product vision, roadmap, prioritization, use cases, adoption plans, value measures, and governance in complex environments.
- Strong understanding of semantic products, business definitions, data quality, metadata/lineage/standards, and AI-ready consumption patterns.
- Experience partnering across enablement, platform/technology, analytics, business, governance, and operations.
- Excellent communication; bridge business and technical needs.
- Thrive in fast-paced environments; manage ambiguity and deliver measurable outcomes.
Compensation / Benefits (explicitly stated):
- Expected salary range: $185,500–$344,500/year.
- Performance-based cash incentive; potential annual equity awards (role-dependent).
- Comprehensive benefits (health/life/disability), 401(k) with match, and time off (vacation, personal days, holidays, other leaves).
- Own product strategy, roadmap, prioritization, and lifecycle management for Reference Data, Master Data, Metadata, and Standards.
- Define data products beyond datasets by embedding business meaning, semantic definitions, reusable measures, standards, metadata, lineage, and consumption patterns.
- Partner with DEO (Data Enablement Organization) to translate strategy into executable plans, align delivery priorities, remove operational barriers, and ensure scalable, reliable enterprise consumption.
- Collaborate across business, analytics, technology, Data Partnerships, Innovation and Products, and Data Products and Foundations to prioritize capabilities and reduce duplication.
- Drive adoption, stakeholder engagement, product performance management, issue prioritization, and continuous enhancement.
- Establish product standards, governance routines, intake processes, service expectations, and value measures for reliability, reuse, compliance, scalability, and business impact.
Qualifications / Requirements:
- Bachelor’s degree required; Master of Science and/or MBA strongly preferred.
- 10+ years in pharma/healthcare/tech/data/analytics/consulting with focus on data products, data strategy, product management, or analytics enablement.
- 5+ years domain expertise in reference/master data, metadata management, data standards, data governance/stewardship, semantic models, product management, and AI-ready data foundations.
- Ability to define product vision, roadmap, prioritization, use cases, adoption plans, value measures, and governance in complex environments.
- Strong understanding of semantic products, business definitions, data quality, metadata/lineage/standards, and AI-ready consumption patterns.
- Experience partnering across enablement, platform/technology, analytics, business, governance, and operations.
- Excellent communication; bridge business and technical needs.
- Thrive in fast-paced environments; manage ambiguity and deliver measurable outcomes.
Compensation / Benefits (explicitly stated):
- Expected salary range: $185,500–$344,500/year.
- Performance-based cash incentive; potential annual equity awards (role-dependent).
- Comprehensive benefits (health/life/disability), 401(k) with match, and time off (vacation, personal days, holidays, other leaves).