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.
As the Head of AI Strategy, Governance & Adoption, you assume a critical executive leadership role, accountable for the performance and results of a pivotal division within the enterprise AI function. This position requires providing leadership and direction through multiple levels of leaders to embed Artificial Intelligence into the core organizational fabric. Reporting directly to the Chief AI Officer, you will serve as the chief strategist, regulatory expert, and transformation leader for AI across the entire enterprise.
Your mandate is to influence and shape the Function's strategy by establishing a robust, globally compliant AI Governance framework that actively manages risk (e.g., EU AI Act). Concurrently, you will develop and execute the long-term operational strategy to drive large-scale, measurable AI adoption. This role ensures Roche's AI investment translates into industry-shaping innovation and responsible, habitual use of AI tools across all global departments, fundamentally accelerating the organization's mission.
The Head of AI Strategy, Governance & Transformation will execute the sub-function's organizational plans and direct the development of innovative solutions, applying both in-depth functional knowledge and business expertise:
I. Enterprise AI Strategy & Governance
Global Governance Framework: Develop and implement a comprehensive AI governance model that is compliant with evolving global regulations (including the EU AI Act and similar standards) and aligns directly with corporate strategic objectives.
Strategic Risk Management: Define and operationalize AI guardrails and controls to minimize ethical and operational risk. Collaborate closely with internal Strategy, Portfolio & Governance, and Risk teams to embed these principles across the organization.
Strategic Alignment and Decision Science: Establish the core decision-making framework for the selection, scaling, and implementation of all AI tools, ensuring choices are transparent, justifiable, and consistent across the enterprise.
External Leadership: Serve as the key external liaison, representing the organization’s AI strategy and governance practices to regulatory bodies, government agencies, and influential industry forums.
II. Global AI Adoption & Value Realization
Adoption Strategy & Value Realization: Design and lead the implementation of a comprehensive AI roadmap aligned with the organization’s three-part strategy: Empowering employees, reshaping processes to realize value at scale, and driving disruptive innovation.
Organizational Change Mastery (OCM): Lead the OCM function to design and execute a global change plan that ensures a seamless transition and habitual adoption of AI tools and methodologies across all functions.
Customer Success & Enablement: Establish and lead a Customer Success function dedicated to providing hands-on support, gathering user feedback, and acting as the voice of the customer for internal AI platforms and solutions.
Training and Proficiency: Oversee the design and delivery of targeted training programs and learning resources to build AI literacy and proficiency across the company, ensuring all training for regulated systems adheres to GxP compliance.
Metrics and Accountability: Define, track, and report on key adoption metrics and KPIs. Provide the organization with clear, data-driven insights into user engagement, satisfaction, and the quantifiable business value generated by AI initiatives.
III. Executive Leadership & Talent Stewardship
Divisional Leadership: Lead multiple large departments and diverse sub-teams, providing leadership and direction through multiple levels of leaders across strategy, governance, and change management professionals.
Senior Influence: Act as a key strategic influencer for the Chief AI Officer, shaping the opinions of and negotiating with senior leaders to ensure commitment to the long-term AI journey.
Talent Development: Accountable for building, leading, and motivating a highly-skilled global team, with a continuous focus on coaching, mentoring, and talent development across the division.
Success in this leadership role requires applying business and commercial expertise to differentiate the organization and demonstrating the ability to lead a major operational segment.
Executive Experience: A minimum of 10+ years of professional experience in technology, consulting, or an operational senior leadership role, with a strong emphasis on leading large-scale technology transformation and change programs.
AI Acumen and Strategy: Proven ability to articulate a clear, long-term AI strategy that effectively balances innovation with compliance, built on a deep understanding of the AI technology landscape.
Regulatory Expertise: Deep understanding of the global AI regulatory landscape (e.g., EU AI Act) and proven experience engaging with external regulatory and government agencies.
Organizational Change Expertise: Strong background in management consulting focused on transformation or a senior Organizational Change
eholders across a complex, matrixed organization.
Professional Standing: Demonstrated ability to build relationships and maintain a strong professional standing and network within the AI, technology, and regulatory communities.
Management (OCM) executive role; certifications in change management methodologies (e.g., Prosci) are highly advantageous.
Influence and Negotiation: Exceptional communication and negotiation skills with the executive presence required to effectively influence and align senior stakeholders.
The expected salary range for this position based on the primary location of San Francisco is between $209,000 - $388,200. 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 available for this position.
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.