Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a distributor of pharmaceuticals, a global manufacturer and distributor of medical and laboratory products, and a provider of performance and data solutions for healthcare facilities.

We are a crucial link between the clinical and operational sides of healthcare, delivering end‑to‑end solutions and data‑driving insights that advance healthcare and improve lives every day. With deep partnerships, diverse perspectives and innovative digital solutions, we build connections across the continuum of care.

With more than 50 years of experience, we seize the opportunity to address healthcare's most complicated challenges — now, and in the future. With approximately 48,000 employees across several countries and Fiscal 2023 revenues of $205 billion, Cardinal Health ranks among the top 15 on the Fortune 500.

In Bangalore we have created an Innovation and Global Capability Centre (GCC) in 2021 as part of our Global Business Services (GBS) operating model that allows us to inhouse talent and scale that talent across our business in areas such as Enterprise IT, Commercial Technologies and Business Process Solutions. Our ambition is to build differentiated opportunities that allows our organization to advance rapidly to be healthcare’s most trusted partner.

We are seeking a highly experienced and visionary Director of Data Science and Automation to lead our Data Science professionals and Digital Intelligent Automation teams. This role will be instrumental in defining and executing the overall Data Science and automation strategy, leading high-performing teams, and ensuring the delivery of high-quality, scalable, and reliable implementation of business use cases.

Director of Data Science will lead and innovate within our data science organization. This role will drive thought leadership, customer engagement, and cutting-edge AI/ML solutions including GenAI and Agentic AI solutions while collaborating with cross-functional teams to deliver measurable business impact. The ideal candidate will have a strong background in data science, supply chain/logistics expertise, and a passion for solving complex problems through innovative approaches.
 

What Data Science contributes to Cardinal Health
The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.

What We Are Looking For:
Education: Masters or PhD in Data Science, Artificial Intelligence, Computer Science, Engineering, or a related field is required.

Experience: 18+ years of proven experience in applying machine learning, deep learning, and data analysis within healthcare, life sciences, supply chain domainTechnical Skills: Hands-on expertise in Generative AI techniques, prototyping, SQL, R, and Python for statistical analysis and programming.Demonstrate proficiency with various approaches in regression, classification, and cluster analysisCustomer-Facing Skills: Strong ability to engage with customers, understand their needs, and deliver tailored solutions that drive business outcomes.Communication: Exceptional written and verbal communication skills to effectively convey complex concepts to diverse audiences.Leadership: Demonstrated ability to lead cross-functional teams and manage multiple high-priority projects simultaneously

What You’ll Do:
 

Roadmap Input & New Data Science Approaches

Provide strategic input into the data science roadmap to align with Cardinal Health long-term goals.Explore and implement new data science methodologies and generative AI techniques to enhance product offerings.

Thought Leadership Collateral

Develop whitepapers, case studies, and presentations showcasing our data science capabilities.Represent Cardinal Health at conferences, webinars, and industry events to establish thought leadership in AI/ML.
 

Digital Solutions Partnerships & Proof of Concepts (POCs)
Partner with digital partner teams to demonstrate the value of AI solutions to business units through POCs and technical deep dives.

Collaborate with business delivering impactful AI/ML-driven insights and solutions tailored to their needs.Champion use case discovery and solutions architecture for Digital Intelligent automation including leveraging technologies such as Automation Anywhere, Process and Task mining tools

Data Science Projects

Will play a player-coach role, code when needed and lead the execution of high-impact data science projects from ideation to deployment, ensuring alignment with business objectives.Oversee the development of scalable AI/ML models and prototypes that enhance operational efficiency and decision-making for business.Mentor and guide a team of data scientists to achieve technical excellence and foster innovation.
 

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

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