Sr. Director, Data Platform Product Owner

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.

About Ontada:

Ontada, a part of McKesson Corporation, is a trailblazer in oncology, data science and technology. We are committed to transforming cancer care through our advanced technology solutions, including the industry-leading electronic health record (EHR) system, iKnowMed. Our mission is centered on generating vital real-world data and insights to drive pioneering research and deliver the best outcomes in oncology.

Current Need:

Reporting to the Chief Data Officer (CDO), the Sr. Director, Data Platform Product Owner will be responsible for managing the creation and execution of data solutions that cover the full spectrum of health data capture, analysis, and transformation into a suite of services and offerings.  This role will be a pivotal role within the CDO organization responsible for overseeing all aspects of the Data Platform and will involve strategic planning, product development, team leadership, and ensuring data integrity and compliance with regulatory standards.       

Key Responsibilities:

• Oversee the development of infrastructure and processes to integrate and manage complex, multimodal datasets (e.g., text, images, audio, structured/unstructured data).  

• Lead collaboration across cross-functional teams including product, engineering, and business leadership to align data initiatives with broader strategic organizational.

• Define, own and drive specific areas of data solution and technology architecture. Provide architectural solutions/designs to support sales and project execution teams for implementation.  

• Gain insights into customer used cases, challenges, and success metrics to champion product development focused on user needs.

• Translate customer requirements into swift action planning to facilitate rapid iteration and development.

• Maintain deep understanding of the evolving market and competitive landscape for our data platform portfolio to ensure strategic positioning and continuous improvement.

• Define KPIs and incorporate qualitative & quantitative insights into day-to-day decision-making and strategy evolution. 

• Partner with internal customers to develop positioning, messaging, and external communications by deeply understanding target audiences, competition, and industry trends.

• Build, mentor, and lead a high performing team of product owners and data analysts; foster a culture of collaboration, innovation, and operational excellence.

Minimum Requirement:

• Degree or equivalent experience. Typically requires 13+ years of professional experience AND 6+ years of diversified leadership experience.

Education:

• Bachelor's degree in a relevant field such as Medical Informatics, Life Sciences, Biotechnology, Computer Science, or related disciplines. Advanced degree (Master or Ph.D.) in Life Sciences or Business Administration is preferred.

Key Requirements:

• 13+ years’ experience in data related leadership roles within healthcare organizations, preferably in a startup or high growth environment.  

• Deep expertise in data architecture, multimodal data integration, and machine learning pipelines. 

• 6+ years' experience in leading technical product management (from conception to launching successful large scale data products) 

• Ability to work with diverse teams (Sales, Research and Developers) to convert product ideas into requirements.

• Proficiency with multimodal data formats (e.g., JSON, parquet, C-CDA) and technologies (e.g. NLP) for integrating unstructured text, image, and structured datasets

• Understanding of healthcare data (EHR, claims, imaging, genetics) and common data models (mCODE, FHIR) and code systems (ICD-10-CM, SNOMED, LOINC, etc.); oncology data experience is preferred.  

• Strong understanding of data governance and privacy frameworks (GDPR, HIPAA, etc.). 

Additional Knowledg