Role SummaryA 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.
Key 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
Minimum Requirement
Degree or equivalent and typically requires 10+ years of relevant experience. Less years required if has relevant Master’s or Doctorate qualifications.
Education
Bachelor's degree in Business, Information Systems, Data Science, or related field.
Critical Skills
10+ years of experience across business, operations, data, or analytics in a large, complex organization
Additional Skills
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
Environment
This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities.
Working Conditions
Traditional office or hybrid environment, depending on location. Some travel required for cross-site collaboration and customer/partner engagements.
Travel Requirements
Occasional travel (varies by business needs) for cross-functional planning sessions.
Physical Requirements
Sedentary work with prolonged periods of sitting and computer use.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please
Our Base Pay Range for this position
$136,300 - $227,100
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