Dir, Innovative Patient Data Product Lead

Novartis Farmacéutica; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Novartis Farmacéutica seeks a Director to lead Data Products and Foundations within Data Partnerships, Innovation and Products. The role partners with the DEO to execute the strategy for trusted, reusable, AI-ready data products spanning patient journey, SP/ASOC, hub, and access domains.

The director will define the vision, roadmap, prioritization, adoption plan, and value measures to improve patient identification, access, treatment initiation, adherence, persistence, and outcomes, embedding

Responsibilities

• Own patient-centric data products across patient journey, SP/ASOC, hub, and access domains.
• Define vision, roadmap, prioritization, adoption plan, and value measures for AI-ready data products.

Job description

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 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 patient-centric data products across patient journey, SP/ASOC, hub, and access domains, defining the vision, roadmap, prioritization, adoption plan, and value measures needed to improve patient identification, access, treatment initiation, adherence, persistence, and out-comes. 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 re-used by business users, analytics teams, and AI-enabled solutions.