Lead, Business Data Strategy

McKesson•Atlanta, GA

3d•$136,300 - $227,100•Hybrid

About The Position

A lead individual contributor role within US Pharmaceutical Distribution focused on advancing the Intelligent Data Platform (IDP) from build to scale. This role is accountable for driving platform adoption, operationalizing data products, and translating business needs into prioritized, high-impact data and AI capabilities. The role partners across the business unit, data engineering, and AI teams to ensure the platform delivers measurable business value—not just technical outputs.

Requirements

10+ years of experience across business, operations, data, or analytics in a large, complex organization
Bachelor's degree in Business, Information Systems, Data Science, or related field.
Strong ability to translate between business and technical teams
Working knowledge of modern data platforms (e.g., Snowflake, Databricks) without needing to build
Experience driving adoption of data and analytics solutions
Operational mindset (intake, prioritization, governance, scaling)
Clear, executive-level communication focused on outcomes and decisions
Ability to lead through influence across multiple teams

Responsibilities

Drive IDP strategy and operationalization — Lead the transition from legacy data environments (e.g., Snowflake) to IDP, ensuring alignment to business priorities, clean intake, and disciplined execution tied to USPD outcomes.
Own data product adoption and effectiveness — Ensure IDP data products are usable, trusted, and embedded in day-to-day decision-making across operational and business teams.
Translate business needs into prioritized work — Partner with operational and business leaders to shape use cases, define requirements, and prioritize work based on business impact.
Orchestrate cross-functional delivery — Coordinate across data engineering, analytics, and AI teams to deliver integrated solutions—holding teams accountable to outcomes, timelines, and quality.
Advance business-led AI enablement — Partner with cross-functional teams to identify and scale AI opportunities that improve decision-making and operational efficiency across the business unit.
Track and communicate business impact / Ensure data governance alignment — Define success measures and communicate how IDP and AI capabilities improve decision-making and efficiency. Partner with data governance teams to ensure data products meet standards for quality, access, privacy, and regulatory requirements.
Other duties as assigned