Lead AI Technology Consultant
roche · Kaiseraugst
Job description
About the role
Roche is looking for a Lead AI Technology Consultant in its Digital Technology organisation, which supports Legal & Compliance and Group Communications. The consultant acts as a go-to expert for stakeholders, combining AI technical leadership, business consulting and end-to-end delivery, and leads cross-functional AI teams on complex, high-impact products. The role sits in a matrix organisation and covers Legal, Compliance, Group Communications, Internal Audit and Transparency / Transfer of Value reporting.
Key responsibilities
- Lead cross-functional AI delivery teams in a matrix organisation, setting technical and delivery expectations and coordinating architects, engineers, data scientists and analysts.
- Take end-to-end accountability for technical delivery, from discovery and solution design through development, deployment and ongoing operations, and coordinate maintenance, monitoring, incident resolution and continuous improvement.
- Act as an AI advisor to senior stakeholders and executives, evaluate use cases, develop business cases and support adoption and measurement of benefits.
- Influence domain strategy by shaping product roadmaps and workforce strategies, and coach and mentor colleagues.
- Lead complex, high-visibility AI initiatives, including system risk assessments, data classification and approvals, and contribute architecture descriptions, data flows and risk documentation with security, privacy and compliance specialists.
- Guide generative AI, agent orchestration, workflow automation and system integration, including evaluation, monitoring and human oversight, without acting as the team's primary developer or code reviewer.
Required profile
- 8+ years of consultancy experience, including 5+ years in life sciences/pharma or the supported business function.
- Proven track record of leading enterprise AI solution architecture and delivery from concept through production deployment and operation.
- Experience combining technical direction, business consulting and multidisciplinary team leadership.
- Excellent stakeholder management, business consulting and facilitation skills, and fluent professional English.
Required skills
- Generative AI application design, cloud architecture and API integration.
- Agile technical delivery, backlog management and architectural decision-making.
- AI evaluation, quality assurance, observability, production monitoring, security, privacy and responsible AI.
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Published 3 hours ago
Expires 1 month from now
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roche
Kaiseraugst