Director, Technical & Platform Product Management

McKesson

. Lead strategy, development, launch, and adoption of platform capabilities for McKesson’s pharmacy technology business across data, analytics, and related technology platforms .

Posted 11/5/2026full-timeIrving • Texas • United StatesLead💰 $143,300 - $238,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data product strategy, development, and adoption, with a strong focus on data ingestion, migration, and quality governance. Proficient in managing complex technical platforms and ensuring alignment across cross-functional teams to meet consumer needs and business capabilities.

Highest-signal resume keywords

Data Product ManagementData Migration ExperienceAPI Development and ManagementCloud Architecture ExpertiseExperience with Databricks and Snowflake

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLPythonData ModelingData IngestionData GovernanceTelemetry AnalysisTechnical PrototypingProduct RoadmappingVersioning ManagementAI/ML Platforms

Soft Skills

Cross-Functional CollaborationStrategic CommunicationLeadershipProblem-SolvingStakeholder Engagement

Tools & Technologies

APIsCI/CD ToolingEvent StreamingContainerized ApplicationsObservability PlatformsDeveloper PortalsIntegration StandardsIdentity ServicesMarketplace PlatformsSelf-Service Workflows

Industry Keywords

Enterprise SoftwareSaaSPlatform TechnologyInfrastructure EngineeringData EngineeringTechnical LeadershipDistributed SystemsCloud PlatformsLarge Language ModelsResponsible AI Practices

Tech Stack

Tools & technologies

CloudDistributed SystemsPythonSnowflakeSQL

About the role

Key responsibilities & impact

Lead strategy, development, launch, and adoption of platform capabilities for McKesson’s pharmacy technology business across data, analytics, and related technology platforms
Partner cross-functionally to understand data needs, consumption methods, and supported business capabilities
Own the data product backlog and translate needs into capabilities, epics, stories, acceptance criteria, and roadmap priorities
Define data platform capability vision, target consumers, value propositions, roadmap priorities, and build-versus-buy decisions
Lead data product discovery and validate needs and feasibility with engineering and architecture
Define requirements for data ingestion and pipelines, including batch, streaming, change data capture, and transactional and analytical data modeling
Make data available through APIs, events, extracts, and data products
Define legacy-platform data migration requirements, onboarding, documentation, and feedback strategies
Establish and measure expectations for data freshness, completeness, quality, and availability
Monitor adoption, pipeline reliability, latency, cost, and consumer experience using telemetry and feedback
Guide data quality, governance, lineage, cataloging, stewardship, PHI/PII, retention, security, access controls, versioning, migration, and deprecation 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
Some travel may be required for cross-site collaboration and customer or partner engagements

Requirements

What you’ll need

Degree or equivalent and typically 10+ years of relevant experience; fewer years required with relevant Master’s or Doctorate qualifications
Bachelor's degree in computer science, engineering, information systems, a related technical discipline, or equivalent relevant professional experience
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
Experience defining product strategy, roadmaps, requirements, priorities, success measures, and adoption plans for technical data products
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 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
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
Applicants must be currently authorized to work in the United States on a full-time basis without employer support or sponsorship now or in the future
Previous experience in software engineering, systems architecture, technical leadership, data engineering, or infrastructure engineering is beneficial
Experience with 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
Experience with marketplace or multi-sided platform products
Advanced degree in computer science, engineering, data science, business, or a related discipline is preferred

Benefits

Comp & perks

Competitive compensation package
Annual bonus may be offered
Long-term incentive opportunities may be offered
Hybrid work arrangement
Some travel opportunities for cross-site collaboration and customer or partner engagements