Senior Technical Program Manager - Scaled Human Biology

xebialatam; United States; Hybrid; USD 140,000 - 195,000; Full time

Job summary

xebialatam seeks a Senior Technical Program Manager to lead strategic programs on a scaled human biology data platform for researchers and biologists within a pharmaceutical R&D environment. The role combines technical program leadership with scientific fluency in a hybrid delivery model that blends waterfall governance with agile execution.

The successful candidate will own backlogs across multiple workstreams, drive governance checkpoints from strategy to launch, and translate complex

Qualifications

• 8+ years of technical program or product management delivering cloud-based data platforms or scientific informatics systems.
• Proven track record managing large, cross-functional programs across many engineering teams and scientific stakeholders.
• Strong understanding of Agile, Scrum, and hybrid delivery models.

Responsibilities

• Own product backlog, prioritization, and planning across multiple workstreams including a high-scale biological data repository, analytical pipelines, and a search and visualization UI.
• Drive continuous discovery, lead products through governance checkpoints from strategy alignment to launch, and validate business value through platform metrics, user feedback, and scientific experimentation.
• Translate ambiguous scientific requirements into well-defined user stories, acceptance criteria, and Product Development Plans.
• Shape data models, metadata standards, and FAIR data compliance in collaboration with scientific knowledge engineering teams.
• Manage dependencies across data engineering, platform engineering, UI/UX, AI/ML, and scientific teams while coordinating multi-vendor partners.
• Champion AI use cases, NLP-based analytics, and GenAI-powered documentation to accelerate delivery and inform backlog prioritization.
• Maintain rigorous Jira, Confluence, RAID, and governance documentation and participate in sprint planning, retrospectives, and Product Strategy Reviews.

Skills

Jira

Confluence

Agile methodologies

Stakeholder management

Cross-functional collaboration

Job description

Role overview

A Senior Technical Program Manager is needed to drive strategic programs on a scaled human biology data platform serving researchers, cell biologists, computational biologists, and data scientists inside a pharmaceutical R&D environment. The role blends deep technical program leadership with scientific fluency, operating within a hybrid delivery model that combines waterfall-style governance with agile execution to accelerate R&D outcomes.

Responsibilities

• Own product backlog, prioritization, and planning across multiple workstreams including a high-scale biological data repository, analytical pipelines, and a search and visualization UI.
• Drive continuous discovery, lead products through governance checkpoints from strategy alignment to launch, and validate business value through platform metrics, user feedback, and scientific experimentation.
• Translate ambiguous scientific requirements into well-defined user stories, acceptance criteria, and Product Development Plans.
• Shape data models, metadata standards, and FAIR data compliance in collaboration with scientific knowledge engineering teams.
• Manage dependencies across data engineering, platform engineering, UI/UX, AI/ML, and scientific teams while coordinating multi-vendor partners.
• Champion AI use cases, NLP-based analytics, and GenAI-powered documentation to accelerate delivery and inform backlog prioritization.
• Maintain rigorous Jira, Confluence, RAID, and governance documentation and participate in sprint planning, retrospectives, and Product Strategy Reviews.

Requirements

• 8+ years of technical program or product management experience delivering cloud-based data platforms or scientific informatics systems.
• Proven track record managing large, cross-functional programs across many engineering teams and scientific stakeholders.
• Deep familiarity with multi-omics data types such as transcriptomics, proteomics, and functional assays, and biological ontology frameworks.
• Strong grounding in FAIR data principles, human data governance, patient privacy, and regulated life sciences environments.
• Expert user of Jira and Confluence for backlog management, traceability, and requirements documentation.
• Strong understanding of Agile, Scrum, and hybrid delivery models, with excellent stakeholder, communication, and conflict resolution skills.

Nice to have

• Translational research familiarity, such as benchmarking model systems against disease endophenotypes.
• Exposure to AI/ML workflows or vector embedding generation in biological research.
• Background in quantitative systems pharmacology or computational biology.
• Experience with multi-vendor coordination, data sharing agreements, and contract dependency management.
• Familiarity with enterprise life sciences software vendors and platforms.
• Track record of platform modernization, technical debt reduction, portfolio rationalization, and cloud cost optimization.

Benefits and work setup

• Partnership-driven hybrid delivery environment inside a pharmaceutical R&D program, evaluated through quarterly 360° reviews and objective business metrics covering user satisfaction, cycle time, cloud cost efficiency, and AI innovation velocity.