Sr. Data Product Manager

McKesson•Irving, TX

4h•Hybrid

About The Position

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. This role offers location flexibility and is open to candidates across the United States. Candidates based in the Dallas–Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite 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. Current Need: The Sr. Data Product Manager role supports the hands-on execution of McKesson’s enterprise innovation strategy by managing the day-to-day operations of innovation projects and programs. Reporting to the Senior Director of Product Innovation, t his role is responsi ble for coordinati ng cross-functional teams, tracking project milestones, and ensuring timely deli very o f pilots, proof of concepts, and minimum via ble pro d ucts – specifically healthcare data products . This role plays a critical part in operationalizing innovation efforts while also serving as a critical bridge between product intent and technical execution, ensuring data requirements, data flows, and MVP designs are well-defined and validated p rior to b uild. The position requires strong organizational skills, stakeholder engagement, and a working knowledge of innovation frameworks and digital tools.

Requirements

Degree or equivalent and typically requires 7+ years of relevant experience.
7+ years of experience in product, data strategy, innovation, or engineering roles.
Experience leading 0-to-1 cross-functional product development with multiple stakeholders.
Familiarity with digital product development and Agile delivery practices.
Strategic thinking — Ability to define multi-year vision for data architecture and anticipate future needs.
Problem decomposition — Break down ambiguous problems into structured, actionable technical requirements.
Business acumen — Understand how data decisions impact customer value and business outcomes; prioritize based on impact.
Requirements translation — Convert business needs into clear data model specifications.
Ability to manage ambiguity and drive clarity in fast-paced environments.
Working knowledge of innovation tools and frameworks.
Excellent written and verbal communication skills.
Intermediate to advanced SQL experience, with Python knowledge being a plus
Strong analytical skills and a passion for problem-solving, with a history of delivering customer-facing data solutions

Nice To Haves

Exposure to healthcare or regulated industries preferred.
Experience with BI platforms (e.g. Power BI, Looker, Tableau, Hex)
Familiarity with product analytics and experimentation methodologies

Responsibilities

Innovation Product Building & Management
AI-first tactical execution of 0-to-1 digital products initiatives from concept through pilot and MVP delivery.
Develop and maintain detailed good data practices and documentation in compliance with HIPAA, GDPR, etc. data requirements.
Track progress against milestones and proactively identify and communicate risks or delays.
Ensure documentation and reporting of project outcomes and learnings.
SQL expertise — Strong ability to write complex queries, investigate data quality issues, and understand query performance.
Data modeling — Deep understanding of dimensional modeling, normalization techniques, and schema design for analytics.
Data warehouse knowledge — Working experience with modern data platforms (specifically Databricks). Exposure to data quality monitoring, schema evolution, or data testing frameworks
Conduct exploratory data analysis to uncover trends, patterns, and opportunities that could be turned into valuable, monetized products.
Partner with product managers, engineers, and cross-functional stakeholders to define data requirements that support product development.
Define and document end to end data flows for MVPs, including data sources, transformations, and dependencies.
Collaborate with product managers to define, run, and analyze experiments within Databricks ensuring methodological rigor and actionable results.
Effectively communicate findings to both technical and non-technical teams, translating complex data into understandable and actionable stories.
Cross-Functional Coordination
Facilitate collaboration across product, strategy, operations, analytics, and engineering teams.
Schedule and lead working sessions, stand-ups, and stakeholder updates.
Serve as the central point of contact for assigned innovation projects.
Ensure alignment between business needs and technical feasibility.
Help build business cases justifying investments in and returns from individual innovation initiatives.
Innovation Process & Methodology
Requirements translation — Convert business needs into clear data model specifications, ensuring shared understanding across product, engineering, and analytics teams.
Use the appropriate AI-powered tech stack and features to maximize efficiency and accelerate the path to identifying product-market fit.
Apply structured innovation frameworks such as design thinking, lean startup, and agile delivery
Facilitate working sessions to align on data flows, interfaces, and handoffs during discovery and MVP planning
Comfort with ambiguity — Thrive in situations where ownership boundaries aren't perfectly clear.
Stakeholder Engagement & Communication
Prepare and deliver clear communications to internal stakeholders regarding project status, outcomes, and next steps.
Support the development of business cases and presentation materials for leadership reviews.
Coordinate feedback loops with business units, customers, and partners to refine concepts.
Market & Customer Insight Integration
Be customer-obsessed – deeply understand the healthcare workflow that’s the focus of the business objective / hypothesis.
Understand the end-to-end customer journey map and how data changes across each step / stage.