Data Strategy Lead, CVRM

Genentech•Boston, MA

About The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. This role is based in the Real-World & Clinical Data Strategy (RWCDS) team which drives data excellence and analytics to power enhanced decision-making and evidence-generation within Roche Product Development. We develop and implement data strategies that unlock the value of clinical, operational, and real-world data to accelerate evidence generation, decision-making, and innovation across PD and beyond. By embedding FAIR principles, advancing data governance, and enabling data productization, RWCDS ensures that data is not only findable and usable, but also a driver of scientific rigor, regulatory readiness, and AI-powered transformation. Through deep partnerships with internal functions and external collaborators, we shape a future-ready data ecosystem that supports personalized healthcare and efficient drug development. The Opportunity: As the Data Strategy Lead for CVRM within the Real-World & Clinical Data Strategy (RWCDS) function, you will provide strategic leadership and coordination across all data domains and data types supporting the therapeutic area. You will serve as the primary RWCDS partner to cross-functional stakeholders in Clinical Development, Biostatistics, Data Science, Regulatory, Medical Affairs, and GPS, ensuring that data strategy is an integral enabler of TA goals. This role focuses on shaping and implementing innovative, multi-modal data strategies that enhance trial design, support regulatory and commercial needs, and accelerate decision-making. You will play a pivotal role in aligning global functional strategy to TA-level execution and enabling impactful and efficient data use through partnerships, governance, and scalable solutions. You align real-world and clinical data strategy for CVRM with Roche’s broader PD-DSA and One Pharma goals You champion and integrate the 3Ds – Data, Digital/AI, and Design – into TA-level decision-making and data innovation You act as a role model for data leadership by promoting scientific rigor, operational excellence, and a learning mindset You ensure clear accountability and cross-functional alignment in the execution of TA-level data priorities You define and implement the end-to-end real-world and clinical data strategy for CVRM, aligning with scientific, regulatory, and commercial priorities You translate enterprise and functional strategies into TA-specific data roadmaps and integrated delivery plans You contribute TA perspective to RWCDS and cross-functional governance forums, highlighting data opportunities, needs, and risks You identify unmet data needs and proactively shape solutions, including strategy for real-world data, digital health, and external partnerships You represent RWCDS in TA-level governance (e.g., Development Boards), ensuring data strategy supports investment, prioritization, and scientific decision-making You anticipate organizational and industry trends, and recommend data strategy enhancements that enable future-ready development and evidence generation You serve as the single point of RWCDS accountability for CVRM and act as primary partner to Clinical Development, Biostatistics, Regulatory, Medical Affairs, and GPS You partner with TA teams to ensure clinical programs are supported by fit-for-purpose data sources and insight generation capabilities You drive alignment across data-focused functions including Biostatistics, Programming, RWCDS, and DEPCS to ensure effective collaboration You foster external partnerships with data vendors, regulatory bodies, academic consortia, and technology innovators to enrich the data ecosystem You actively represent CVRM needs in functional planning forums and ensure downstream use of data supports internal and external stakeholder needs You lead multi-modal data strategies across CVRM that integrate real-world data, clinical trial data, digital endpoints, and operational metrics You ensure data strategies comply with internal standards and external expectations, supporting data integrity, traceability, and reuse (FAIR principles) You influence data governance, metadata standardization, and data readiness efforts to ensure high-quality, analytics-ready assets for decision-making You enable data strategy to serve as a foundation for responsible AI and advanced analytics in the therapeutic area You partner with RWCDS leadership, TechX, and domain experts to shape and scale digital tools and infrastructure supporting data delivery and reuse You provide thought leadership on data productization, including the design of assets that are reusable, interpretable, and tailored to TA goals You lead through director(s), data strategists, and matrixed contributors focused on the CVRM portfolio You set clear objectives, monitor progress, and provide mentorship and feedback that accelerates scientific and strategic development You foster a culture of data innovation, cross-functional collaboration, and continuous improvement You partner with RWCDS leadership and People & Culture to recruit, grow, and retain top talent in data strategy and science You drive inclusion, empowerment, and psychological safety to enable a high-performing and purpose-driven team environment You demonstrate respect for cultural differences when interacting with colleagues in the global workplace

Requirements

Advanced degree (MSc, MPH, PhD) in Data Science, Epidemiology, Life Sciences, Biostatistics, or related discipline
15+ years of experience working in clinical development, real-world data, or quantitative science, with 3+ years of leadership in a matrix or direct people management capacity
Demonstrated success in shaping data or evidence strategies for drug development, particularly within a therapeutic area or molecule unit
In-depth understanding of multi-modal data sources, including clinical trial data, RWD, biomarkers, digital endpoints, and their use in evidence generation
Experience driving cross-functional initiatives and working with stakeholders across Clinical, Regulatory, Medical Affairs, GPS, and Data Science
Strong knowledge of data governance, standards, data product design, and responsible use of data in regulated environments
Strategic thinker with ability to translate complex scientific or technical opportunities into business impact
Influential communicator and confident presenter able to engage diverse internal and external audiences

Nice To Haves

Experience with data enablement for AI/ML, evidence platforms, or self-service analytics tools
Familiarity with evolving regulatory trends related to RWE, digital endpoints, and decentralized trials
Track record of scientific publications, external collaborations, or participation in data science consortia
Deep interest in innovation at the intersection of data, digital health, and personalized medicine
International experience or experience operating across geographies and cultures
Willingness to travel (estimated 20%)

Responsibilities

Align real-world and clinical data strategy for CVRM with Roche’s broader PD-DSA and One Pharma goals
Champion and integrate the 3Ds – Data, Digital/AI, and Design – into TA-level decision-making and data innovation
Act as a role model for data leadership by promoting scientific rigor, operational excellence, and a learning mindset
Ensure clear accountability and cross-functional alignment in the execution of TA-level data priorities
Define and implement the end-to-end real-world and clinical data strategy for CVRM, aligning with scientific, regulatory, and commercial priorities
Translate enterprise and functional strategies into TA-specific data roadmaps and integrated delivery plans
Contribute TA perspective to RWCDS and cross-functional governance forums, highlighting data opportunities, needs, and risks
Identify unmet data needs and proactively shape solutions, including strategy for real-world data, digital health, and external partnerships
Represent RWCDS in TA-level governance (e.g., Development Boards), ensuring data strategy supports investment, prioritization, and scientific decision-making
Anticipate organizational and industry trends, and recommend data strategy enhancements that enable future-ready development and evidence generation
Serve as the single point of RWCDS accountability for CVRM and act as primary partner to Clinical Development, Biostatistics, Regulatory, Medical Affairs, and GPS
Partner with TA teams to ensure clinical programs are supported by fit-for-purpose data sources and insight generation capabilities
Drive alignment across data-focused functions including Biostatistics, Programming, RWCDS, and DEPCS to ensure effective collaboration
Foster external partnerships with data vendors, regulatory bodies, academic consortia, and technology innovators to enrich the data ecosystem
Actively represent CVRM needs in functional planning forums and ensure downstream use of data supports internal and external stakeholder needs
Lead multi-modal data strategies across CVRM that integrate real-world data, clinical trial data, digital endpoints, and operational metrics
Ensure data strategies comply with internal standards and external expectations, supporting data integrity, traceability, and reuse (FAIR principles)
Influence data governance, metadata standardization, and data readiness efforts to ensure high-quality, analytics-ready assets for decision-making
Enable data strategy to serve as a foundation for responsible AI and advanced analytics in the therapeutic area
Partner with RWCDS leadership, TechX, and domain experts to shape and scale digital tools and infrastructure supporting data delivery and reuse
Provide thought leadership on data productization, including the design of assets that are reusable, interpretable, and tailored to TA goals
Lead through director(s), data strategists, and matrixed contributors focused on the CVRM portfolio
Set clear objectives, monitor progress, and provide mentorship and feedback that accelerates scientific and strategic development
Foster a culture of data innovation, cross-functional collaboration, and continuous improvement
Partner with RWCDS leadership and People & Culture to recruit, grow, and retain top talent in data strategy and science
Drive inclusion, empowerment, and psychological safety to enable a high-performing and purpose-driven team environment
Demonstrate respect for cultural differences when interacting with colleagues in the global workplace