Dir, Innovative Customer Data Product Lead

Novartis Farmacéutica; Northern (KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Novartis Farmacéutica is seeking a Director, Innovative Customer Data Product Lead to define the vision and roadmap for customer data products across payer, HCP, omnichannel, and engagement domains. The role partners with the Data Enablement Organization to create reusable, AI-ready data products and to drive adoption and measurable value across the business.

The position is remote in the United States with travel, and reports to the Executive Director of Innovative Data Offerings and Products.

Responsibilities

• Own customer-facing data products across payer, HCP, omnichannel, and engagement domains, defining the vision, roadmap, prioritization, adoption plan, and value metrics to drive impact for customers and the business.

Job description

Job description summary

#LI-RemoteThis 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. 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.