Genentech is hiring a Technical Product Owner, RDT Lead – 3PD based in San Francisco, CA (onsite) to help shape and deliver Roche’s Patient Strategy data ecosystem. In this role, you will unify internal and external patient data streams into a scalable, compliant platform that supports personalized healthcare experiences through predictive analytics and AI/ML.
The 3PD ecosystem connects patients, providers, and operations using unified data, governance, and advanced decisioning capabilities. You will lead end-to-end ownership of the technical delivery lifecycle, from strategy and roadmap through integrations, governance, and continuous improvements to product health and operational stability.
Responsibilities
- Define and execute the 3PD strategy, roadmap, and backlog, translating business needs into scalable data capabilities and AI/ML enablement.
- Provide technical leadership across acquisition, ingestion, processing, storage, and consumption to support end-user and downstream system requirements.
- Lead technical onboarding of external data sources, including mapping, validation, reconciliation, quality, and operational readiness.
- Drive upstream and downstream integrations to make patient data available for operational systems, analytics, reporting, AI/ML, and decisioning platforms.
- Lead end-to-end technical delivery across workstreams, managing scope, milestones, dependencies, risks, and cross-team handoffs.
- Establish standards for data accuracy, timeliness, and completeness, and implement monitoring, observability, and issue remediation with engineering teams.
- Partner with architects to guide integration patterns, scalability, interoperability, and long-term sustainability while managing technical debt.
- Embed data governance, lineage, privacy, consent, security, and regulatory requirements into product design and delivery.
- Maintain an end-to-end view of dependencies across consuming products to prevent delivery bottlenecks.
- Build partnerships across Patient Strategy, business, DDA, architecture, engineering, and external vendors to align and resolve conflicts.
- Define metrics for product health, data quality, adoption, and operational stability to drive continuous improvement.
Requirements
- Bachelor’s degree in IT, Computer Science, Data/Analytics, or a related field; advanced degree or certifications (PMP/PgMP/Product) preferred.
- 10+ years leading complex technical integrations, enterprise data products, and cross-functional product delivery within large-scale IT environments.
- Demonstrated expertise owning data ecosystems, including vendor ingestion, data quality, governance, lineage, and enablement for analytics, AI/ML, and decisioning platforms.
- Strong technical fluency in cloud platforms, APIs, batch/event integrations, data pipelines, data modeling, and enterprise architecture patterns.
- Proven ability to translate business needs into product roadmaps while navigating complex stakeholder environments and driving cross-team execution.
- Solid background in data privacy, consent, security, and regulatory compliance for sensitive patient data environments.
- Strong understanding of the end-to-end data lifecycle: acquisition, ingestion, integration, transformation, quality, and consumption.
- Strong product and delivery management skills, including roadmap and backlog management, prioritization, dependency and risk management, and end-to-end delivery.
- Advanced analytical and problem-solving skills, including evaluating technical options and driving decisions in complex cross-functional environments.
Technologies
- Cloud platforms
- APIs
- Batch/event integrations
- Data pipelines
- Data modeling
- Enterprise architecture patterns
- AI/ML
Additional Qualifications
- Exceptional communication, facilitation, and negotiation skills with the ability to drive consensus across business and technical stakeholders.
- Demonstrated ability to influence without direct authority and navigate complex cross-functional and vendor relationships.
- Strong leadership, coaching, and mentoring capabilities across product and delivery teams.
- Experience with Agile/product operating models and complex, multi-team technical delivery.
- Experience in pharmaceutical, healthcare, patient services, or other regulated data environments preferred.
- Experience enabling data for analytics, AI/ML, predictive capabilities, decisioning, or personalization is highly desirable.
Salary
The expected salary range for this position based on the primary location of South San Francisco, CA is $142,200 - $264,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.
Benefits
- Relocation benefits are not available for this job posting.
- A discretionary annual bonus may be available based on individual and Company performance.
- This position qualifies for the benefits detailed at the link provided below.
