Senior Technical Program Manager, Data & Analytics
Listed on 2026-08-31
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IT/Tech
Business Systems & Technology Analysis, IT Business Analyst -
Business
Business Systems & Technology Analysis
Senior Technical Program Manager, Data & Analytics (Contract)
The Senior Technical Program Manager, Data & Analytics (TPM) will bridge business stakeholders and Data Engineering to deliver trusted data products and capabilities supporting Immunome's commercial readiness for targeted oncology therapies. Working within a clinical-stage biotechnology company, this hands-on leader will translate business objectives into requirements, user stories, acceptance criteria, process and data flows, and mock views, with emphasis on commercial planning, operational readiness, forecasting, reporting, and launch-preparation decisions.
The role begins with an on-site onboarding and discovery period and may become remote-eligible afterward based on business needs and manager approval; it is not a recurring hybrid schedule.
Responsibilities
- Commercial Readiness & Solution Definition
- Lead discovery with commercial strategy, finance, operations, analytics, and technology stakeholders to clarify launch-readiness objectives, users, workflows, decisions, and measurable outcomes.
- Translate commercial priorities into epics, user stories, functional and data requirements, process flows, acceptance criteria, and collaborative mock views or wireframes.
- Data Engineering & Technical Coordination
- Partner with data architects, engineers, analysts, and data owners to define sources, metrics, business rules, mappings, and refresh needs — and translate these into clear requirements and acceptance criteria that guide delivery of pipelines, integrations, curated datasets, and reporting-ready outputs.
- Coordinate decisions on data quality, access, and governance across the program, communicating technical tradeoffs in business terms.
- Program Delivery, Governance & Communication
- Build integrated plans covering commercial-readiness milestones, scope, owners, dependencies, testing, release readiness, adoption, and measurable outcomes.
- Manage backlogs and task structures in Azure Dev Ops, Smartsheet, or comparable tools, maintaining clear ownership, status, dates, and traceability.
- Lead Agile planning and delivery cadences; track progress, identify slippage, and coordinate recovery across business and engineering teams.
- Maintain risks, issues, dependencies, decisions, and change control; provide concise status updates and timely escalation to accountable stakeholders.
- Release Readiness & Process Improvement
- Coordinate user acceptance testing, data validation, release readiness, handoffs, documentation, and post-launch follow-through.
- Improve reusable requirements, delivery practices, quality gates, metrics, and documentation standards.
- Bachelor's degree in computer science, Information Systems, Engineering, Data Science, Life Sciences, Business, or a related field, or equivalent practical experience.
- Minimum 8 years of progressive experience in technical program management, technical product or project delivery, business analysis, or data and analytics delivery.
- Experience in an oncology-focused biotechnology or biopharmaceutical environment, preferably supporting commercial readiness, launch planning, forecasting, or related business operations.
- Proven success translating complex needs into delivery-ready requirements, user stories, acceptance criteria, process or data flows, and mock views.
- Experience partnering with data engineering teams on pipelines, integrations, transformations, data models, data quality, and analytics or reporting use cases.
- Strong Agile delivery skills and hands-on use of Azure Dev Ops, Smartsheet, or comparable platforms to manage plans, backlogs, dependencies, risks, and reporting.
- Ability to work on-site during the initial onboarding, discovery, and team-integration period.
- Experience with forecasting, launch-readiness metrics, master data, or executive reporting in a regulated environment; relevant PMP or Agile certification is a plus.
- Builds trust quickly with commercial, finance, and executive stakeholders in a fast moving cross-functional, matrixed biotech environment.
- Translates ambiguous business needs into clear, structured requirements.
- Communicates technical tradeoffs in plain business language for non-technical stakeholders.
- Azure Dev Ops and Smartsheet
- SQL (query and validate data, support UAT) and BI tools (Power BI preferred)
- Snowflake or comparable cloud data platform (preferred)
Qualifications Required Experience & Education
Preferred Qualifications
Key Competencies / Soft Skills
Tools & Technologies
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