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We are looking for a Data & AI Excellence Lead to drive Data and AI governance and excellence across Roche Digital Technology. Lead the adoption of policies and frameworks, bridge Data and AI domains, and influence senior executives. Ideal for an experienced leader with deep expertise in AI governance and a strong background in digital transformation.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

Tasks

  • Drive Data and AI excellence, policy adoption, and a sustainable cultural shift toward a Data- and AI-driven mindset throughout the organization.
  • Translate Group Data & AI policies, AI ethics guidelines, and governance frameworks into tangible, enterprise-wide practices.
  • Bridge Data Governance and AI Governance domains to ensure trusted data foundations enable responsible, high-impact AI adoption across the enterprise.
  • Accelerate understanding and compliant adoption of core concepts, including data mesh, data products, responsible AI consumption, model governance, and AI ethics across all functions and federated domains.
  • Leverage matrix leadership, orchestration, and influencing skills across federated domain teams without direct reports.
  • Switch between high-stakes strategic discussions on AI/Data policies with senior executives and hands-on, practical engagement with ground-level executors.
  • Bridge the gap between corporate vision and operational AI/data workflows, flatten the learning curve for emerging technologies, and deploy scalable change management frameworks.
  • Champion Data and AI excellence, literacy, and policy adoption across the enterprise.
  • Drive unified adoption of Group Data & AI Strategy policies, standards, ethical guidelines, and compliance frameworks across all functional domains.
  • Present high-stakes strategic topics, AI risk/opportunity frameworks, and decision-ready materials to C-level executives while directly engaging hands-on contributors.
  • Translate complex Data and AI governance policies, model governance requirements, AI ethics guidelines, data mesh architectures, and data product methodologies into clear, actionable standards for both technical and non-technical stakeholders.
  • Provide input to enterprise-wide Organizational Change Management (OCM) strategies dedicated to both Data and AI adoption.
  • Establish combined Data & AI excellence metrics, cultural maturity indicators, and value frameworks to measure policy compliance, AI/data adoption rates, and business impact.
  • Apply a customer success mindset to enable domain teams and end-users in safely leveraging AI and data.
  • Design scalable "train-the-trainer" models and build an active enterprise network of Data & AI champions.
  • Drive cross-functional alignment and execution across federated domains, serving as the central advisor and bridge connecting AI practitioners, data stewards, tech, legal, and business teams.
  • Support enterprise communication efforts led by Group Communications, contributing to strategy development, media and public relations alignment, content oversight, cross-functional collaboration, and performance tracking to boost Data & AI visibility across the organization.

Requirements

  • University degree (Bachelor's degree) preferably in a digital technology, AI/data science, business, or related field.
  • 10+ years of direct experience leading data and/or AI culture, change management, governance, or digital transformation within a complex, global matrix organization.
  • Proven track record as a high-impact individual contributor or matrix leader capable of driving large-scale initiatives without direct formal authority.
  • Demonstrated experience operationalizing enterprise Data and AI strategy and policies, AI ethics guidelines, model governance, and responsible AI frameworks.
  • Solid background and practical skills in AI Governance (e.g., responsible AI principles, AI risk assessment, model lifecycle governance, Generative AI guidelines) combined with core Data Governance principles (data products, data mesh, data quality, privacy).
  • Strong ability to connect technical AI/Data concepts with business strategy, ensuring AI adoption is grounded in robust, compliant data management foundations.
  • Customer-success approach to enablement, focusing on removing friction for grassroots executors while ensuring strict regulatory and policy compliance.
  • Mastery in defining adoption metrics, maturity models, and executive reporting frameworks.
  • Ability to rapidly shift between high-level strategic alignment and hands-on tactical coaching across all organizational levels.
  • Strong background in organizational change management (OCM), AI/data literacy programs, and champion network development.
  • Proactive, energetic, and highly collaborative approach to influencing across functions and inspiring an enterprise-wide culture of Data & AI excellence.
  • Capable of sharing knowledge and inspiring innovation across the enterprise.
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Über uns
Roche ist ein international tätiges Schweizer Pharma- und Diagnostikunternehmen mit Sitz in Basel und entwickelt, produziert und vertreibt Medikamente sowie diagnostische Lösungen. Das Unternehmen ist in den Bereichen Pharma und Diagnostik tätig und fokussiert sich auf Forschung und Innovation in verschiedenen Therapiegebieten wie Onkologie, Neurologie und Infektionskrankheiten. Roche ist weltweit aktiv und zählt zu den führenden Unternehmen im Gesundheitsbereich.
Das Team

Roche Digital Technology (RDT) is a global team at the heart of Roche, committed to shaping the digital future of healthcare. The team powers Roche through digital technologies, artificial intelligence, data, and scalable tech innovations, building a future where digital is a core strength across the organization.

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