Senior Director, Data Management & Analytical Data Science Solutions

Genentech
  • Boston, Massachusetts
    2 days ago

    Job Description

    Senior Director, Data Management & Analytical Data Science Solutions


    Roche Digital Technology (RDT) is where innovation meets purpose. As a global team at the heart of Roche, we are a community of business-minded technologists committed to help shape tomorrow’s digital future of healthcare. Our mission is to power Roche through cutting-edge digital technologies, harnessing the potential of artificial intelligence, data, and scalable tech innovations. Driven by purpose and passion, we’re building a future where digital is a core strength across all of Roche, enabling smarter ways of working, unlocking human potential, and driving breakthroughs that truly matter for millions of patients around the world.


    The Opportunity

    As a Senior Director, you will act as the Head of Product Biometrics holding complete strategic autonomy over the end-to-end technology portfolio enabling clinical data ingestion, processing, and advanced analytics. You will bridge complex scientific domains with modern digital engineering, defining the product strategy, architectural roadmap, and AI integration vision that powers Roche's global clinical pipeline.


    The Biometrics team provides the core analytical capabilities and data pipelines for clinical development. The team delivers the technology solutions required for acquisition, ingestion and harmonization of CRF and non-CRF data from clinical studies, enabling statistical analysis and aggregation and delivering the data for regulatory reporting. The solutions enable the development of advanced analytics models to support product development decisions.


    Your mission is to lead this multidisciplinary global team in building scalable and compliant AI-integrated/AI-native products that transform this critical pipeline.


    Key Responsibilities:

    • Define the long-term product roadmap and financial objectives.
    • Aggressively integrate AI/ML capabilities and track KPIs to ensure alignment with business outcomes.
    • Lead the architectural modernization and global scaling of cloud-native data pipelines handling petabyte-scale clinical datasets with high availability and real-time processing capabilities.
    • Oversee the end-to-end portfolio, identifying innovation opportunities and managing the evolution of complex products from ideation to retirement.
    • Architect a seamless user experience for internal scientists and clinicians by anticipating market shifts and emerging technology trends.
    • Manage a complex ecosystem of global internal teams, SaaS vendors and external delivery partners.
    • Drive a culture of data-informed decision-making, continuous learning, and cross-functional collaboration.
    • Drive the deployment of next-generation generative AI agents and machine learning models directly into biometrics workflows to automate data harmonization and regulatory reporting.
    • Oversight of validated systems, GxP compliance and alignment with business functions for AI-driven clinical submissions and data pipelines. 
    • Coach and mentor product managers and engineers.

    Who You Are

    • Advanced degree (Master/PhD) in a Science or Technology discipline
    • 10+ years in Product Engineering and Business Analysis, with at least 4 years recent experience in Pharma/Biotech Biometrics domain and 4+ years in a leadership role managing interdisciplinary teams.
    • Fluency in modern software architecture (APIs, Cloud, Microservices) and experience of implementing AI Agents in Biometrics workflows
    • Exceptional ability to influence senior leadership and align diverse groups (scientists, engineers and executives) toward a unified goal.
    • Proven track record of delivering enterprise-scale data platforms and AI solutions within complex global environments.
    • Experience leading technical teams (engineers and product managers).

    The expected salary range for this position based on the primary location of Boston, MA is $182,600 - $339,200. 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.

    Numbers & Facts

    LocationBoston, Massachusetts
    Websiteroche.ehr.com/default.ashx?CLASSNAME=splash

    Skills

    • Analysis Skillsunmatched
    • Application Programming Interface (API)unmatched
    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Biometricsunmatched
    • Biotech and Pharmaceuticalunmatched
    • Business Analysisunmatched
    • Case Report Form (CRF)unmatched
    • Clinical Dataunmatched
    • Clinical Trialunmatched
    • Cloud Computingunmatched
    • Coachingunmatched
    • Corporate Policiesunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Drug Developmentunmatched
    • Ecosystemsunmatched
    • Emerging Technologyunmatched
    • GxPunmatched
    • Healthcareunmatched
    • High Availabilityunmatched
    • Leadershipunmatched
    • Leading Edge Technologyunmatched
    • Legalunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Microservicesunmatched
    • Performance Metricsunmatched
    • Process Capabilityunmatched
    • Product Developmentunmatched
    • Product Engineeringunmatched
    • Product Planningunmatched
    • Product Strategyunmatched
    • Product Supportunmatched
    • Regulatory Reportsunmatched
    • Scalable System Developmentunmatched
    • Software Architectureunmatched
    • Software as a Service (SaaS)unmatched
    • Statisticsunmatched
    • System Validationunmatched
    • Team Lead/Managerunmatched
    • Technical Deliveryunmatched
    • Technical Leadershipunmatched
    • Trend Analysisunmatched
    • User Interface/Experience (UI/UX)unmatched

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