Dir, Innovative Customer Data Product Lead
Novartis
August 24, 2026
Remote
United States
IT
Key Responsibilities:
- Own the product strategy, roadmap, prioritization, and lifecycle management for Payer, HCP, Omnichannel, and Engagement.
- Define products by embedding business meaning, semantic definitions, reusable measures, standards, metadata, lineage, and clear consumption patterns into the product design.
- Partner with DEO (Data Enablement Organization) to translate strategy into executable plans, align on delivery priorities, remove operational barriers, and ensure products are scalable, reliable, and enterprise-ready.
- Collaborate across business, analytics, technology, Data Partnerships, Innovation and Products, and Data Products and Foundations 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 to ensure reliability, reuse, compliance, scalability, and business impact.
Essential Requirements:
- Bachelor’s degree in a related field (Master of Science and/or MBA strongly preferred).
- 10+ years’ experience in pharmaceutical, healthcare, technology, data, analytics, or consulting with focus on data products, data strategy, product management, or analytics enablement.
- 5+ years’ domain expertise in customer data, payer/HCP data, omnichannel analytics, customer engagement, commercial analytics, product management, data governance, and AI-ready semantic data products.
- 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.
- Excellent communication skills; translate business needs into data product requirements and present clearly to senior leaders.
- Ability to bridge technical and business/domain context; thrive in ambiguity while delivering measurable outcomes.
Benefits:
- US-based eligible employees: comprehensive benefits including health, life and disability, 401(k) with company contribution and match, and time off (vacation, personal days, holidays, and other leaves).
- Own the product strategy, roadmap, prioritization, and lifecycle management for Payer, HCP, Omnichannel, and Engagement.
- Define products by embedding business meaning, semantic definitions, reusable measures, standards, metadata, lineage, and clear consumption patterns into the product design.
- Partner with DEO (Data Enablement Organization) to translate strategy into executable plans, align on delivery priorities, remove operational barriers, and ensure products are scalable, reliable, and enterprise-ready.
- Collaborate across business, analytics, technology, Data Partnerships, Innovation and Products, and Data Products and Foundations 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 to ensure reliability, reuse, compliance, scalability, and business impact.
Essential Requirements:
- Bachelor’s degree in a related field (Master of Science and/or MBA strongly preferred).
- 10+ years’ experience in pharmaceutical, healthcare, technology, data, analytics, or consulting with focus on data products, data strategy, product management, or analytics enablement.
- 5+ years’ domain expertise in customer data, payer/HCP data, omnichannel analytics, customer engagement, commercial analytics, product management, data governance, and AI-ready semantic data products.
- 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.
- Excellent communication skills; translate business needs into data product requirements and present clearly to senior leaders.
- Ability to bridge technical and business/domain context; thrive in ambiguity while delivering measurable outcomes.
Benefits:
- US-based eligible employees: comprehensive benefits including health, life and disability, 401(k) with company contribution and match, and time off (vacation, personal days, holidays, and other leaves).