Business Data Solutions Lead

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.

The Business Data Solutions Lead serves as the bridge between Data Engineering and our business partners, ensuring that data solutions are designed, defined, and delivered to meet enterprise needs. This role focuses on gathering and translating requirements, shaping data solution design, and guiding the data product lifecycle in close partnership with engineering leadership. The position emphasizes technical and business alignment, solution clarity, and adoption, while fostering durable practices across our data ecosystem.

* Our preferred candidate will reside in the Columbus, OH area. Position is hybrid, allowing some work from home along with in-office time.

* At this time, we are not able to offer sponsorship for employment visas. This includes individuals currently on F-1 OPT, STEM OPT, or any other visa status that would require future sponsorship. Candidates must be authorized to work in the United States on a permanent basis without the need for current or future sponsorship.

Responsibilities:

• Partner with stakeholders across business units to gather and refine requirements, uncover unarticulated needs, and ensure alignment with enterprise data strategy

• Translate business and analytical requirements into solution options and high-level designs for Data Engineering teams

• Serve as a subject matter lead and point of escalation to clarify solution scope, data capabilities, and trade-offs with both business and technical audiences

• Collaborate with engineering leadership on backlog definition, capacity planning, and prioritization; ensure stakeholder visibility into delivery timelines

• Facilitate discovery sessions and solution design reviews, ensuring solutions are sustainable, scalable, and aligned with enterprise standards

• Create and maintain solution documentation, providing training and adoption support to business and analytics teams

• Build continuous feedback loops with stakeholders to iteratively improve data quality, usability, and access.

Experience / Skills You’ll Need:

• Degree or equivalent, and 10+ years of experience in data analysis, solution design, or data product/BI roles

• Strong understanding of Data Engineering capabilities, data models, and data lifecycle processes

• Proven ability to translate complex business problems into clear, actionable solution requirements

• Skilled in facilitating workshops, requirement sessions, and stakeholder alignment discussions

• Experience working with analytics teams to shape end-user reporting and data access solutions

• Strong technical aptitude with the ability to evaluate solution trade-offs in collaboration with engineers

• Excellent oral and written communication skills; able to present to both technical and non-technical executives

• Highly organized, detail-oriented, and comfortable managing multiple priorities.

 Preferred Skills:

• Experience with healthcare data and regulatory considerations

• Familiarity with SQL (able to read/write queries for validation)

• Understanding of modern cloud data solutions (e.g., Databricks, Snowflake, Azure) and experience supporting data modernization initiatives

• Strong time management and prioritization skills

• Demonstrated ability to work collaboratively across technical, product, and business teams

• Ownership mindset with a sense of urgency to deliver quality outcomes

We are proud to offer a competitive compensation package at McKesson as p