Lead Data Analyst – AI Big Bets
| Company | McKesson |
|---|---|
| Location | Silverton, TX, USA, Virginia, USA |
| Salary | $157000 – $261600 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Expert or higher |
Requirements
- Typically requires 10+ years of relevant experience
- 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.
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
- 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.
- Lead the creation of dashboards and reports, transforming complex data insights into strategic business intelligence for leadership.
- Stay at the forefront of industry trends in data engineering, AI, and visualization, continuously enhancing your skill set and knowledge base.
Preferred Qualifications
- 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.