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AI Senior Manager Position

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 7 days ago

No clicks

**AI Senior Manager:** Lead Agentic & Generative AI strategy, drive project delivery, and mentor teams through end-to-end AI lifecycle. Requires 7+ years of AI experience, managing teams, and proven business acumen. Key skills: AI/ML, data science, project management, strategic planning.

Compensation
Not specified GBP

Currency: £ (GBP)

City
Manchester
Country
United Kingdom

Full Job Description

Job Description

  • AI Strategy & Innovation: Partner with executive stakeholders to identify business challenges and define how Agentic and Generative AI can unlock value, automate workflows, and drive transformation.
  • Project & Delivery Oversight: Lead end-to-end AI and data science projects from proof of concept (PoC) and Minimum Viable Product (MVP) through to scaled, production-level deployment.
  • Team Leadership: Mentor and build high-performing teams of data scientists, data engineers, and AI developers, championing technical excellence and continuous learning.
  • AI Governance & Compliance: Steer ethical AI adoption by designing governance frameworks, mitigating risks, and ensuring AI systems adhere to data privacy laws and regulatory guidelines.

AI Senior Manager Position

Compensation

Not specified GBP

City: Manchester

Country: United Kingdom

Capgemini logo
Consultancies

7 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**AI Senior Manager:** Lead Agentic & Generative AI strategy, drive project delivery, and mentor teams through end-to-end AI lifecycle. Requires 7+ years of AI experience, managing teams, and proven business acumen. Key skills: AI/ML, data science, project management, strategic planning.

Full Job Description

Job Description

  • AI Strategy & Innovation: Partner with executive stakeholders to identify business challenges and define how Agentic and Generative AI can unlock value, automate workflows, and drive transformation.
  • Project & Delivery Oversight: Lead end-to-end AI and data science projects from proof of concept (PoC) and Minimum Viable Product (MVP) through to scaled, production-level deployment.
  • Team Leadership: Mentor and build high-performing teams of data scientists, data engineers, and AI developers, championing technical excellence and continuous learning.
  • AI Governance & Compliance: Steer ethical AI adoption by designing governance frameworks, mitigating risks, and ensuring AI systems adhere to data privacy laws and regulatory guidelines.