Dir, Innovative Customer Data Product Lead

๐Ÿข Novartis ยท all Novartis jobs
๐Ÿ“ United States
๐Ÿ’ฐ USD 185,500 - 344,500 / annual
๐Ÿ“… Posted 2026-08-23 ยท via Himalayas
๐Ÿท Data-Product-Management,Product-Leadership,Customer-Data-Platforms,Analytics-Product-Management,Data-Strategy,Director-Of-Data-Product-Management,Lead-Data-Product-Manager,Director-Of-Product-Data-and-Insights
Apply on original site โ†—

Band
Level 6 Job Description Summary

This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel.

Job description summary

This Director, Innovative Customer Data Product Lead, 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 customer-facing data products across payer, HCP, omnichannel, and engagement domains, defining the vision, roadmap, prioritization, adoption plan, and value measures needed to improve customer targeting, segmentation, omnichannel orchestration, field execution, payer insights, and engagement performance. 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.
Job Description
Key Responsibilities:

- Own the product strategy, roadmap, prioritization, and lifecycle management for Payer, HCP, Omnichannel, Engagement.

- 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 on delivery 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.

Experience:

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.
Essential Requirements:

-
Education: Bachelor's degree in related field is required; 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 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 to execute strategy and scale data products.

- Excellent communication skills, wit

โ† All remote jobs