Business Intelligence Solutions Lead enhancing McKesson’s analytics and AI capabilities for private label biosimilars. Collaborating on data-driven decisions and implementing advanced AI solutions.
Responsibilities
Develop intuitive, self-service dashboards and analytics for McKesson’s private label biosimilars, empowering stakeholders to monitor business objectives, track KPIs, and make data-driven decisions.
Support monitoring and analysis of competitive intelligence including reimbursement levels, other biosimilar manufacturers, acute care GPOs, and provider activity
Implement AI agents that proactively analyze workflows and transactional data to uncover untapped revenue and margin improvement opportunities—accelerating adoption, growth and profitability.
Establish scalable AI foundation in partnership and execute on an enterprise-grade AI platform to enable advanced capabilities such as anomaly detection, inventory optimization, and service-level forecasting—laying the groundwork for long-term automation and efficiency.
Create robust tools and reporting capabilities to strengthen FLW (Full Line Wholesale) Passport and Injectables workflow, improving operational transparency, reducing manual effort, and enabling faster, more informed actions
Collaborate in knowledge sharing and best practices, and provide backup support for analytics team as needed
Requirements
Degree or equivalent and typically requires 7+ years of relevant experience.
7+ years of relevant professional experience, including 2+ years in AI/automation solution deployment or technical enablement roles.
Strong proficiency in data architecture and engineering, building scalable cloud-based data infrastructure, harmonized data assets, and AI-driven analytics solutions; Proficient in Power BI for dashboard development and visualization.
Hands-on experience with Generative AI, Large Language Models (LLMs), and agentic/AI workflow platforms; skilled in designing and implementing automation solutions.
Proficient in Python (preferred), SQL, API integration, and modern AI frameworks such as LangChain and OpenAI; strong foundation in software engineering principles.
Excellent ability to work cross-functionally and communicate effectively with both technical and non-technical stakeholders.
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