Within McKesson, Insights & Technology is the technology, data, and insights organization powering McKesson’s Oncology and Multispecialty segment. We deliver innovative solutions that connect community providers and biopharma to improve health outcomes. Our mission is to accelerate drug development, expand patient access, and enhance care delivery—ultimately transforming the fight against cancer. By joining Insights & Technology, you’ll be part of a dynamic team at the forefront of oncology innovation, working together to make a meaningful impact for patients and providers.

We’re looking for a driven, enthusiastic leader to be part of the team that’s transforming the fight against cancer and improving the lives of patients.

Role Overview

Owns the end-to-end strategy, roadmap, and delivery of the Research Data Product(s) for the business. These products enable high-quality real-world evidence (RWE) generation and study-grade analytics across oncology and multispecialty therapeutics. The Product Manager will partner closely with data engineering, real world research, analytics end-users, clinical SMEs, legal/privacy, and customer experience teams to deliver a compliant, scalable, and highly valuable data product.

Key Responsibilities

• Define and maintain a prioritized roadmap and backlog aligned to customer value and Ontada strategy

• Translate business needs, product strategy, and clinical SME input into artifacts for technology and data engineering teams

• Lead product discovery—plan and run research with customers and internal users; test assumptions through prototypes and iterative experiments; be the voice of the customer informed by data and empathy

• Establish and track product KPIs (adoption, retention, time-to-insight, data quality, CSAT/NPS) and use qualitative and quantitative insights to guide decisions

• Partner with Data Engineering, Analytics, and Platform teams to ensure robust pipelines, documentation, and SLAs; coordinate with companion products and data foundations to align interfaces and data models

• Collaborate with clinical SMEs to ensure appropriate representation of patient journeys, treatment initiation, patterns, and outcomes within the data product

• Serve as a subject matter expert and deliver product training to your internal and external stakeholders

• Bring experience and a consultative approach to designing product operations and processes to help teams work efficiently

• Lead, mentor, and coach individuals in the product management discipline

• Work closely with Legal, Privacy, and Compliance to meet healthcare data regulations (HIPAA, de-identification standards) and contractual requirements

• Support GTM: provide product expertise, enablement assets, customer training, and contribute to pricing/packaging input

• Maintain awareness of market/competitive landscape for research and data products; translate insights into strategy evolution

Minimum Requirement

• Degree or equivalent and typically requires 7+ years of relevant experience.

Education

• Bachelor’s degree in a relevant field (e.g., biomedical sciences, informatics, computer science, business); advanced degree preferred.

Critical Skills

• 7+ years in product management delivering data/analytics or healthcare technology products

• Proven ability to convert complex customer needs into actionable requirements and usable solutions, partnering across Analysts, Developers, Clinical SMEs, Engineers, and Commercial stakeholders.

• Excellent stakeholder engagement and cross-functional collaboration; comfortable operating in ambiguity with a bias to action and structured storytelling.

• Experience with Agile product practices and tools (e.g., JIRA, Confluence); adept at articulating user stories and acceptance criteria.

• Working knowledge of real-world healthcare data, EMR/EHR, and patient-level databases; familiarity with oncology patient journeys; understanding of data privacy and de-identification.

• Background in real-world research/evidence, epidemiology, or HEOR, and experience in oncology strongly preferred

Preferred Skills

• Exposure to common data models/standards (e.g., OMOP, CDISC, HL7/FHIR, mCODE) and clinical coding systems (ICD, CPT, LOINC, SNOMED).

• Experience with cloud data platforms and analytics environments (e.g., Snowflake, Databricks); comfort collaborating on data quality metrics and documentation.

• Familiarity with multimodal data integration (structured/unstructured text, imaging) and technologies such as NLP.

• Basic proficiency with SQL or Python for product exploration/validation (not a developer role).

• Experience supporting go-to-market motions for data products (enablement assets, demos, pricing/packaging input).

Key Performance Indicators (KPIs)

• Customer adoption and retention of the Research Data Product

• Data quality (completeness, accuracy), time-to-insight, and SLA adherence

• Roadmap delivery vs. commitments; lead time and cycle time improvements

• Customer satisfaction (CSAT/NPS) and support case reduction

• Revenue growth and margin for the product line (as applicable)

• Compliance and audit readiness metrics