Technical Product Owner, RDT Lead – 3PD

Posted Yesterday
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South San Francisco, CA, USA
In-Office
142K-264K Annually
Expert/Leader
Healthtech • Biotech
The Role
Owns the strategy, roadmap, backlog, and delivery of Roche’s 3PD patient data ecosystem. Leads data acquisition, ingestion, integration, quality, governance, privacy, and enablement for analytics, AI/ML, and decisioning platforms. Partners with architecture, engineering, business stakeholders, and vendors to manage dependencies, risks, technical debt, compliance, and operational reliability while driving scalable, reusable data capabilities.
Summary Generated by Built In

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.

Skills Required

  • Bachelor's degree in IT, Computer Science, Data/Analytics, or a related field
  • 10+ years leading complex technical integrations, enterprise data products, and cross-functional product delivery in large-scale IT environments
  • Expertise in 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
  • Experience translating business needs into product roadmaps, technical requirements, and scalable data capabilities
  • Experience managing roadmaps, backlogs, prioritization, dependencies, risks, and end-to-end technical delivery
  • Background in data privacy, consent, security, and regulatory compliance for sensitive patient data environments
  • Exceptional communication, facilitation, negotiation, stakeholder management, and consensus-building skills
  • Ability to influence without direct authority and manage cross-functional and vendor relationships
  • Leadership, coaching, and mentoring capabilities across product and delivery teams
  • Experience with Agile or product operating models and complex, multi-team technical delivery
  • Advanced degree or PMP, PgMP, or product certification
  • Experience in pharmaceutical, healthcare, patient services, or other regulated data environments
  • Experience enabling data for analytics, AI/ML, predictive capabilities, decisioning, or personalization

Genentech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Genentech and has not been reviewed or approved by Genentech.

  • Healthcare Strength — Health coverage is described as comprehensive across medical, dental, vision, mental health, and prescriptions, supported by HSAs/FSAs and broad wellness resources. On‑site fitness and health centers, mental‑health clinicians, and specialized programs like fully covered preventive cancer screenings and menopause support deepen the offering.
  • Retirement Support — Retirement benefits feature a 401(k) with up to a 4% company match plus an additional annual 6% company contribution to eligible pay. Additional financial protections such as life and accident insurance complement salary, bonuses, and stock options.
  • Leave & Time Off Breadth — Time away includes about 20 paid vacation days, paid holidays, personal days, and a year‑end shutdown. A paid six‑week sabbatical every six years notably expands long‑term time‑off flexibility.

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The Company
HQ: South San Francisco, CA
20,069 Employees
Year Founded: 1976

What We Do

Considered the founder of the industry, Genentech, now a member of the Roche Group, has been delivering on the promise of biotechnology for more than 40 years. Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. We're passionate about finding solutions for people facing the world's most difficult-to-treat conditions. That is why we use cutting-edge science to create and deliver innovative medicines around the globe. To us, science is personal. Making a difference in the lives of millions starts when you make a change in yours.

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