Job Information
McKesson Corporation Senior Director, Enterprise Data Science in Columbus, Ohio
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. McKesson is a purpose driven Fortune 9 Healthcare business with almost 200 years of legacy. We are seeking to hire an enterprise leader to lead strategy and delivery of advanced data science services across the enterprise. We are looking for a passionate and talented data science leader with proven expertise in leading end-to-end delivery of enterprise level Advanced Data Science Services, delivering significant finance verified business value, and establishing global standards for advanced data science. This role will report directly into enterprise leader for Advanced Analytics, and will help build and deliver reusable data science solutions like advanced forecasting, digital twins/simulation, segmentation and optimization. Key Responsibilities: 1. Build And Scale Enterprise Advanced Data Science Service Direct and oversee the end-to-end delivery of Enterprise Advanced Data Science solutions, ensuring substantial financial value delivery and setting global standards for data science solutions. Collaborate with technology and business units to identify and leverage opportunities for operational efficiencies, enhanced customer service, and business expansion. Grow and enhance the capabilities of supply chain AI/ML and operations research across multiple corporate sub-functions. Develop and implement innovative customer and patient analytics solutions to drive strategic insights and outcomes; build enterprise forecasting team. 2. Develop Reusable Data Science Capabilities As the Global lead for Advanced Data Science, direct and manage a team of technical leaders and experts, to develop and implement reusable Data Science solutions, including advanced forecasting, digital twins/simulations, segmentation, classification, optimization, and reinforcement learning, across the enterprise, and help enable AI Big Bets value delivery. Spearhead the development and application of operations research methodologies, integrating them into the overarching business strategy to enhance operational efficiencies, and supporting strategic planning across multiple businesses including US Pharma, International, and Prescription technology Solutions. 3. Lead Advanced Data Science Collaboration & Innovation Lead the enterprise function to drive cross-pollination of advanced data science ideas across divisions and geographical regions. Drive the incubation and development of cutting-edge data science solutions and services, focusing initially on customer and patient analytics. Cultivate a culture of experimentation and innovation to explore and develop new data-driven opportunities and solutions. Oversee the implementation of data science solutions that support US and Canadian businesses, as well as global procurement operations in Europe. Make strategic decisions that weigh cross-division and geographic impacts, ensuring alignment between local standards and enterprise policies. Foster a culture of innovation and collaboration to create cohesive data science strategies across all regions. 4. Direct Delivery Operations and Provide Strategic Leadership Oversee the operations, initiatives, and key programs of the Advanced Data Science Service, ensuring alignment with BU and Enterprise goals. <