Job description

Technical Product Owner, RDT Lead – 3PD (Personalized, Predictive Patient Data) The Opportunity The Technical Product Owner, RDT Lead – 3PD drives the technical product strategy and delivery for Roche’s Patient Strategy data ecosystem. Combining strategic product ownership and delivery leadership, this role unifies internal and external data streams into a scalable, compliant engine that powers personalized healthcare experiences. About the Ecosystem 3PD connects patients, providers, and operations through unified data, predictive analytics, and AI/ML capabilities. Spanning ingestion, integration, governance, and advanced decisioning, it empowers timely interventions to optimize patient treatment journeys. The Technical Product Owner/RDT Lead evolves 3PD as an integrated enterprise platform—balancing immediate Patient Strategy needs with long-term scalability, interoperability, reliability, and reuse. Key Responsibilities Product Vision & Strategy: Define and execute the 3PD strategy, roadmap, and backlog, translating business needs into scalable data capabilities and AI/ML enablement. Data Lifecycle Ownership: Provide technical leadership across acquisition, ingestion, processing, storage, and consumption to support end-user and downstream system needs. Vendor Data Acquisition: Lead technical onboarding of external data sources, including mapping, validation, reconciliation, quality, and operational readiness. System Integration & Enablement: Drive upstream and downstream integrations, making patient data available for operational systems, analytics, reporting, AI/ML, and decisioning platforms. Delivery Management: Lead end-to-end technical delivery across workstreams, managing scope, milestones, dependencies, risks, and cross-team handoffs. Data Quality & Reliability: Establish standards for data accuracy, timeliness, and completeness; implement monitoring, observability, and issue-remediation with engineering teams. Architecture & Strategy: Partner with architects to guide integration patterns, scalability, interoperability, and long-term sustainability while managing technical debt. Governance & Compliance: Embed data governance, lineage, privacy, consent, security, and regulatory requirements into product design and delivery. Dependency Management: Maintain an end-to-end view of dependencies across consuming products to prevent delivery bottlenecks. Stakeholder & Vendor Leadership: Build partnerships across Patient Strategy, business, DDA, architecture, engineering, and external vendors to drive alignment and resolve conflicts. Product Health & Improvement: Define metrics for product health, data quality, adoption, and operational stability to guide continuous improvement. Who You Are Bachelor’s degree in IT, Computer Science, Data/Analytics, or a related field; an 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 track record translating business needs into product roadmaps, navigating complex stakeholder environments, and driving cross-team execution. Solid background in data privacy, consent, security, and regulatory compliance for sensitive patient data environments. Technical / Business Skills Strong knowledge of the end-to-end data lifecycle, including acquisition, ingestion, integration, transformation, quality, and consumption. Experience translating business and end-user needs into technical requirements, product roadmaps, and scalable data capabilities. Strong understanding of data quality, governance, lineage, privacy, consent, security, and regulatory requirements for sensitive patient data. 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 with the ability to evaluate technical options and drive decisions across complex, cross-functional environments. 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. 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. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Relocation benefits are not available for this job posting. #RDT2026 Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company s policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants .

Requirements

Must-haves

Technical Product Owner, RDT Lead – 3PD (Personalized, Predictive Patient Data)
The Technical Product Owner/RDT Lead evolves 3PD as an integrated enterprise platform—balancing immediate Patient Strategy needs with long-term scalability, interoperability, reliability, and reuse.
Key Responsibilities Product Vision & Strategy: Define and execute the 3PD strategy, roadmap, and backlog, translating business needs into scalable data capabilities and AI/ML enablement.
Data Lifecycle Ownership: Provide technical leadership across acquisition, ingestion, processing, storage, and consumption to support end-user and downstream system needs.
Vendor Data Acquisition: Lead technical onboarding of external data sources, including mapping, validation, reconciliation, quality, and operational readiness.
System Integration & Enablement: Drive upstream and downstream integrations, making patient data available for operational systems, analytics, reporting, AI/ML, and decisioning platforms.
Delivery Management: Lead end-to-end technical delivery across workstreams, managing scope, milestones, dependencies, risks, and cross-team handoffs.
Data Quality & Reliability: Establish standards for data accuracy, timeliness, and completeness; implement monitoring, observability, and issue-remediation with engineering teams.
Architecture & Strategy: Partner with architects to guide integration patterns, scalability, interoperability, and long-term sustainability while managing technical debt.
Governance & Compliance: Embed data governance, lineage, privacy, consent, security, and regulatory requirements into product design and delivery.
Dependency Management: Maintain an end-to-end view of dependencies across consuming products to prevent delivery bottlenecks.
Stakeholder & Vendor Leadership: Build partnerships across Patient Strategy, business, DDA, architecture, engineering, and external vendors to drive alignment and resolve conflicts.
Product Health & Improvement: Define metrics for product health, data quality, adoption, and operational stability to guide continuous improvement.
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 track record translating business needs into product roadmaps, navigating complex stakeholder environments, and driving cross-team execution.
Solid background in data privacy, consent, security, and regulatory compliance for sensitive patient data environments.
Technical / Business Skills Strong knowledge of the end-to-end data lifecycle, including acquisition, ingestion, integration, transformation, quality, and consumption.
Experience translating business and end-user needs into technical requirements, product roadmaps, and scalable data capabilities.
Strong understanding of data quality, governance, lineage, privacy, consent, security, and regulatory requirements for sensitive patient data.
Strong product and delivery management skills, including roadmap and backlog management, prioritization, dependency and risk management, and end-to-end delivery.

Nice-to-haves

Who You Are Bachelor’s degree in IT, Computer Science, Data/Analytics, or a related field; an advanced degree or certifications (PMP/PgMP/Product) preferred.
Experience in pharmaceutical, healthcare, patient services, or other regulated data environments preferred.

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Platform: workday
Effort: long

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