Role OverviewThe Director, Technical & Platform Product Management will lead the strategy, development, launch, and adoption of capabilities for the Platform for McKesson's pharmacy technology business across data, analytics, and and related technology platforms. This role will partner cross-functionally to understand what data they need, how they need to consume it, and which business capabilities it must support. The role will own the data product backlog and translate these needs into capabilities, epics, stories, acceptance criteria, and roadmap priorities and partner closely with engineering and other product team members to execute. Success will be measured through data freshness, completeness, quality, availability, adoption, delivery efficiency, and measurable business value.
Key Responsibilities- Define data platform strategy and roadmap: Own the data capability vision, target consumers, value propositions, roadmap priorities, and build-versus-buy decisions for McKesson Pharmacy System's Platform.
- Lead data product discovery: Partner with other data teams to define the data needed for McKesson Pharmacy System's Platform, consumption methods, and supported business capabilities. Validate needs and feasibility with engineering and architecture before investment.
- Shape reusable data capabilities: Define requirements for data ingestion and pipelines, including batch, streaming, and change data capture, and transactional and analytical data modeling. Make data available through APIs, events, extracts, and data products.
- Own the data product backlog: Translate consumer needs into capabilities, epics, stories, acceptance criteria, and roadmap priorities engineering can execute. Define what McKesson Pharmacy System's Platform must deliver from a data perspective, balancing business value, dependencies, risk, security, technical debt, and cost.
- Drive data migration and adoption: Define legacy-platform data migration requirements, including transformation, mapping, enrichment, and reconciliation. Develop onboarding, documentation, and feedback strategies for data consumers.
- Define and measure data expectations: Establish measurable expectations for data freshness, completeness, quality, and availability. Monitor adoption, pipeline reliability, latency, cost, and consumer experience; use telemetry and feedback to guide roadmap decisions.
- Guide data governance and lifecycle decisions: Partner with engineering, architecture, security, and data teams on data quality, governance, lineage, cataloging, and stewardship, including PHI/PII, retention, security, access controls, versioning, migration, and deprecation.
- Influence technical and business decisions: Communicate data platform trade-offs to engineering, product, customers and executive audiences. Align cross-functional decisions on business capabilities, consumer needs, architecture, reliability, security, and cost without prescribing engineering implementation.
Minimum RequirementDegree or equivalent and typically requires 10+ years of relevant experience. Less years required if has relevant Master's or Doctorate qualifications.
EducationBachelor's degree in computer science, engineering, information systems, a related technical discipline, or equivalent relevant professional experience.
Preferred Skills
Critical Skills- 10+ years of progressive product management experience supporting enterprise software, SaaS, platform, infrastructure, or developer-facing technology products.
- Experience leading at least one technically complex platform or product from initial concept through production launch and adoption. Examples may include API platforms, integration platforms, developer platforms, data platforms, identity and access management, cloud-native SaaS infrastructure, or engineering tooling.
- Experience defining product strategy, roadmaps, requirements, priorities, success measures, and adoption plans for technical data products - data lake, data warehouse and/or enterprise data warehouse.
- Experience working directly on data migration with software engineers and architects on distributed systems, APIs, integrations, data models, cloud architecture, scalability, reliability, security, or observability.
- Hands-on experience with at least one of the following: reviewing API specifications, querying data using SQL or Python, evaluating logs or telemetry, or developing lightweight technical prototypes.
- Experience defining and using measurable platform or service indicators such as adoption, availability, latency, throughput, error rates, recovery objectives, delivery cycle time, infrastructure cost, or developer experience.
- Experience managing platform interfaces through versioning, backward compatibility, migration planning, dependency management, or deprecation.
- Experience with databricks and/or snowflake environments and application of their AI/ML features.
Additional Skills- Previous experience in software engineering, systems architecture, technical leadership, data engineering, or infrastructure engineering.
- Experience developing products for technical users, including APIs, SDKs, developer portals, self-service workflows, integration standards, documentation, or CI/CD tooling.
- Experience with public cloud platforms, containerized applications, event streaming, infrastructure as code, observability platforms, identity services, or developer platforms.
- Experience with AI or machine learning platforms, large language model orchestration, vector databases, responsible AI practices, or production data pipelines.
- Experience launching pilot or beta programs with defined user groups, measurable success criteria, operational readiness requirements, and data-informed launch decisions.
- Experience with marketplace or multi-sided platform products.
- Advanced degree in computer science, engineering, data science, business, or a related discipline.
Working Conditions- This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work-from-home model. If located in DFW area, the selected candidate may be expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated according to team needs and business priorities.
- Some travel may be required for cross-site collaboration and customer or partner engagements.
About McKesson Pharmacy TechnologyMcKesson's pharmacy technology business develops solutions that support pharmacy operations and the delivery of patient care. This role offers the opportunity to shape a foundational platform used by technical teams to build, integrate, and deliver scalable capabilities across the business.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position$143,300 - $238,900
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
