Lead Data Analyst, AI Big Bets

McKesson’s Corporate; United States; Remote; USD 157,000 - 262,000; Full time

Job summary

Join a forward-thinking company as a Lead Data Analyst, where you will play a crucial role in shaping the future of healthcare through data-driven insights. This fully remote position offers the opportunity to build scalable data pipelines and collaborate with AI and ML experts to drive innovation. Your expertise in data architecture, governance, and visualization will be key in supporting strategic decision-making at the highest levels. Be part of an organization that values your growth and empowers you to make a significant impact in the healthcare industry. If you’re passionate about data and its potential to transform lives, this role is for you!

Qualifications

• 10+ years of experience in data analysis and engineering required.
• Expertise in data governance and compliance is essential.
• Strong background in AI/ML environments is a plus.

Responsibilities

• Architect scalable data pipelines for AI/ML prototyping.
• Lead the creation of dashboards for strategic insights.
• Collaborate with AI experts to ensure data accessibility.

Skills

ETL/ELT pipelines design

Python programming

SQL proficiency

Scala programming

Azure expertise

Snowflake knowledge

Databricks experience

Power BI skills

Tableau skills

API integration

Education

Bachelor’s degree in a quantitative field

MBA or Master’s degree in a quantitative field

Tools

Power BI

Tableau

Azure Data Factory

Delta Lake

Snowflake

Databricks

PostgreSQL

MySQL

MongoDB

Cassandra

Job description

Lead Data Analyst, AI Big Bets

Apply remote type Fully Remote locations USA, VA, Remote USA, TX, Remote time type Full time posted on Posted 3 Days Ago job requisition id JR0128393

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.

Current Need

We are recruiting for a Lead Data Analyst, AI Big Bets to join our team!

This role is instrumental in enabling rapid AI and ML model prototyping by ensuring data is readily available for AI and ML experts. It involves creating efficient data pipelines and impactful visualizations to support strategic decision-making and accelerate model development.

Key Responsibilities:

• Architect and build scalable data pipelines in alignment with AI Big Bets initiatives for rapid AI/ML prototyping.
• Ensure secure, compliant data governance standards to support fast experimentation.
• Optimize data architecture for efficiency and scalability, serving as the expert in data storage and retrieval.
• Collaborate directly with AI and ML experts to ensure data accessibility for model development.
• Engage in hands-on development and maintenance of data infrastructure to drive AI/ML innovation.

Collaborative Leadership & Stakeholder Engagement:

• Collaborate closely with AI researchers, data scientists, product teams, and leadership, aligning data strategies with overarching business objectives.
• Communicate complex technical insights to non-technical stakeholders, ensuring clarity and alignment across all levels of the organization.

Strategic Data Visualization & Reporting:

• Lead the creation of dashboards and reports, transforming complex data insights into strategic business intelligence for leadership.

Continuous Improvement & Innovation:

• Stay at the forefront of industry trends in data engineering, AI, and visualization, continuously enhancing your skill set and knowledge base.

Minimum Requirements

Typically requires 10+ years of relevant experience.

Critical Skills

• Mastery in designing and maintaining ETL/ELT pipelines, data lakes, and data warehouses.
• Proficiency in programming languages such as Python, SQL, and Scala.
• Expertise in platforms like Azure, Snowflake, and Databricks, with a strong understanding of data privacy, compliance, and governance.
• Advanced skills in Power BI, Tableau, or similar tools for executive-level reporting.
• Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra), API integration, and workflow automation.

Additional Skills

• Experience working in AI/ML-driven environments, supporting rapid experimentation and model deployment (familiarity with Delta Lake, Azure Data Factory is a plus).
• Demonstrated progression to senior levels through recognized expertise and contributions to team and organizational success.
• Experience supporting AI/ML initiatives by enabling data access, transformation, and visualization to drive strategic decision-making.
• Proven ability to work in fast-paced environments, supporting quick iteration and validation of AI-driven use cases.
• Experience creating high-impact dashboards and reports tailored for leadership review and decision-making.
• Experience working closely with AI researchers, data scientists, product managers, and business stakeholders to align data strategies with business goals.
• Background in technology, finance, healthcare, e-commerce, or other data-intensive industries where AI and analytics play a critical role.
• Understanding of how data engineering and visualization contribute to business value, efficiency, and revenue growth.
• Experience implementing new data processes, and visualization tools in evolving business environments.

Education

• Bachelor’s degree required in a quantitative field such as Statistics, Computer Science, Economics, Operations Research, Engineering, Applied Mathematics or related field. MBA or Master’s degree in a quantitative field preferred OR equivalent experience.

Working Conditions:

• Traditional office environment.
• Large percent of time performing computer based work is required.

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

$157,000 - $261,600

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.

Join us at McKesson!