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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.

We are seeking a highly skilled and motivated individual to join our PSaS Financial Operations team. This role will be instrumental in supporting the migration from Snowflake to our Finance Data Product platform (Databricks) and continued development/adoption of the semantic model. This key team member will work closely with cross-functional teams to drive data transformation, and AI enablement initiatives.

Key Responsibilities

• Lead the migration of data from Snowflake to the Finance Data Product platform (Databricks).

• Evaluate and drive enhancements to the PSaS semantic models to ensure accurate and efficient data representation.

• Collaborate with data engineering, analysts, and business stakeholders to understand data requirements and deliver solutions.

• Design and implement data transformation processes to support business needs.

• Ensure data quality, integrity, and governance across all data products.

• As needed, provide training and support to users on the semantic model and data product functionalities.

• Engage with stakeholders to gather requirements and provide updates on progress.

• Validate data to ensure accuracy and consistency across the platform.

• Support the development of training materials and conduct training sessions for users.

• Assist with the build and enhancement of the Agentic AI Financial Intelligence Assistant (FIA), including:

• Gathering and refining business requirements

• Supporting model training and testing

• Collaborating with AI and data engineering teams to align data structures and use cases

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 finance, information systems, data science, or a related field.

Critical Skills

• Proven experience in data architecture and data transformation

• Strong knowledge of Snowflake and data migration processes.

• Experience with data visualization tools such as Power BI.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills.

• Ability to work independently and manage multiple priorities in a fast-paced environment.

• Knowledge of finance and accounting principles.

Preferred Skills

• Experience with Databricks and other data warehousing tools.

• Previous experience in a similar role within a large organization.

Candidates must be authorized to work in USA. Sponsorship is not available for this role.

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 click here.

Our Base Pay Range for this position

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

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