Location: London, UK (Hybrid)
Employment Type: Permanent, Full-time
Own the identification, prioritisation, adoption, and value realisation of AI use cases across Howden.
This role sits at the intersection of business, delivery, and governance. You're accountable for ensuring AI initiatives solve real problems, are adopted in practice, and deliver measurable outcomes in a regulated enterprise environment.
This is a senior individual contributor role focused on delivery and impact rather than management or policy development. Success means shipping use cases that people actually use and that deliver demonstrable value.
You'll operate as one of two senior individual contributors in the AI Productivity team, working in close partnership with colleagues based globally.
Key accountabilities
AI use-case ownership & prioritisation
- Lead discovery with brokers and corporate teams to identify high-value AI opportunities
- Translate complex problems into clear, prioritised use cases with explicit success criteria
- Make and support evidence-based recommendations on whether to build, iterate, or stop
Adoption & change
- Own the rollout and adoption of AI solutions into real workflows
- Design enablement, guidance, and operating rhythms that move AI from novelty to habit
- Identify and address barriers when adoption stalls or value isn't being realised
Value, measurement & outcomes
- Define baselines and success metrics that Finance and senior stakeholders trust
- Track productivity, cost, risk, and quality outcomes post-launch
- Produce clear reporting on what's working, what needs improvement, and why
Governance & responsible AI
- Partner with Legal, Compliance, Risk, and InfoSec to ensure AI use cases meet regulatory and policy requirements
- Contribute to governance processes, risk assessments, and decision forums
- Help ensure governance supports delivery rather than hindering it
Delivery partnership
- Work in close partnership with other AI Productivity leads and Champions across the world
- Shape requirements, acceptance criteria, and rollout plans together
- Provide timely, grounded feedback from real usage to inform solution iteration
Stakeholder leadership
- Act as a credible point of contact for senior business leaders
- Lead Communities of Practice and develop training programmes with the training team
- Challenge assumptions thoughtfully, manage expectations, and maintain delivery focus
- Communicate trade-offs between speed, value, and risk clearly and calmly
Management of AI analysts
Skills & experience
- Proven experience and examples of driving AI, automation, or advanced analytics initiatives from concept to live use
- Demonstrable expertise in AI platforms
- Experience of insurance industry
- Strong workflow analysis and business case development capability
- Comfortable defining and defending metrics for productivity and value
- Experience partnering closely with vendors, engineers and data scientists on delivery
- Confident engaging senior stakeholders without relying on positional authority
- Clear written and verbal communicator
What this role is not
- Not a deputy director or people-management role
- Not focused purely on research or experimentation
- Not a reporting-only analyst position
- Not primarily a policy or compliance function
What success looks like after 12 months
- A clear, trusted pipeline of AI use cases aligned to business priorities
- Multiple AI solutions in active use, with adoption tracked and improving
- AI benefits reported in a way Finance and leadership trust
- Governance processes that are understood, practical, and effective
- Strong delivery rhythm with the AI Productivity team, with good collaboration and high throughput
Location: London, UK (Hybrid)Employment Type: Permanent, Full-time
Own the identification, prioritisation, adoption, and value realisation of AI use cases across Howden.
This role sits at the intersection of business, delivery, and governance. You’re accountable for ensuring AI initiatives solve real problems, are adopted in practice, and deliver measurable outcomes in a regulated enterprise environment.
This is a senior individual contributor role focused on delivery and impact rather than management or policy development. Success means shipping use cases that people actually use and that deliver demonstrable value.
You’ll operate as one of two senior individual contributors in the AI Productivity team, working in close partnership with colleagues based globally.
Key accountabilities
AI use-case ownership & prioritisation
- Lead discovery with brokers and corporate teams to identify high-value AI opportunities
- Translate complex problems into clear, prioritised use cases with explicit success criteria
- Make and support evidence-based recommendations on whether to build, iterate, or stop
Adoption & change
- Own the rollout and adoption of AI solutions into real workflows
- Design enablement, guidance, and operating rhythms that move AI from novelty to habit
- Identify and address barriers when adoption stalls or value isn’t being realised
Value, measurement & outcomes
- Define baselines and success metrics that Finance and senior stakeholders trust
- Track productivity, cost, risk, and quality outcomes post-launch
- Produce clear reporting on what’s working, what needs improvement, and why
Governance & responsible AI
- Partner with Legal, Compliance, Risk, and InfoSec to ensure AI use cases meet regulatory and policy requirements
- Contribute to governance processes, risk assessments, and decision forums
- Help ensure governance supports delivery rather than hindering it
Delivery partnership
- Work in close partnership with other AI Productivity leads and Champions across the world
- Shape requirements, acceptance criteria, and rollout plans together
- Provide timely, grounded feedback from real usage to inform solution iteration
Stakeholder leadership
- Act as a credible point of contact for senior business leaders
- Lead Communities of Practice and develop training programmes with the training team
- Challenge assumptions thoughtfully, manage expectations, and maintain delivery focus
- Communicate trade-offs between speed, value, and risk clearly and calmly
Management of AI analysts
Skills & experience
- Proven experience and examples of driving AI, automation, or advanced analytics initiatives from concept to live use
- Demonstrable expertise in AI platforms
- Experience of insurance industry
- Strong workflow analysis and business case development capability
- Comfortable defining and defending metrics for productivity and value
- Experience partnering closely with vendors, engineers and data scientists on delivery
- Confident engaging senior stakeholders without relying on positional authority
- Clear written and verbal communicator
What this role is not
- Not a deputy director or people-management role
- Not focused purely on research or experimentation
- Not a reporting-only analyst position
- Not primarily a policy or compliance function
What success looks like after 12 months
- A clear, trusted pipeline of AI use cases aligned to business priorities
- Multiple AI solutions in active use, with adoption tracked and improving
- AI benefits reported in a way Finance and leadership trust
- Governance processes that are understood, practical, and effective
- Strong delivery rhythm with the AI Productivity team, with good collaboration and high throughput
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