Data & Agentic AI Foundations

Project overview

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Role Title: Data & Agentic AI Foundations

Project details

London/Hybrid-2/3 days

31/03/2027

617 per day all inc (PAYE through Umbrella)

Role Description:

Role Purpose

Intact is embarking on a transformation journey towards becoming an AI-native insurance organization. This role will provide the strategic and technical leadership required to bridge the gap between traditional enterprise data platforms and the emerging world of AI, Agentic Systems, and Intelligent Underwriting.

The AI Lead will work closely with the CDO, CIO, Data Engineering, Architecture, and Underwriting teams to define and execute the roadmap for AI-ready data foundations, knowledge platforms, agent orchestration, and Real Time data accessibility. The role combines expertise in Data, AI, Technology Strategy, and Insurance domain knowledge to enable the next generation of underwriting and operational AI capabilities.

This is a highly influential and hands-on role requiring someone who can shape the vision, define the target architecture, and guide delivery teams through practical implementation.

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Key Responsibilities

AI & Data Strategy

Define and drive the organization's roadmap toward AI-native operations.

Develop the target-state architecture for AI-enabled underwriting, claims, and insurance operations.

Act as a trusted advisor to the CDO on AI-related strategy, investments, and transformation priorities.

Establish a roadmap covering immediate, medium-term, and future AI capabilities.

Agentic AI Foundations

Design the foundational capabilities required for Agentic AI adoption.

Define how enterprise systems and business capabilities are exposed as reusable AI tools and services.

Data as a Product

Champion a "Data as a Product" operating model.

Help define AI-ready data products that serve:

o Underwriting

o Claims

o Pricing

o Actuarial

o Operational decision making

Ensure data products are discoverable, reusable, governed, and consumable by AI services and agents.

Drive a shift from analytics-only thinking toward operational and decision-support use cases.

AI-Ready Data Platform Architecture

Assess current Databricks and Enterprise Data Platform capabilities.

Define enhancements required to support AI workloads.

Design operational data zones supporting:

o Real-time and near Real Time data access

o Transactional AI workloads

o Agent consumption patterns

Develop approaches for exposing enterprise data through APIs, services, semantic layers, and AI-enabled interfaces.

Knowledge & Context Management

Define enterprise approaches for managing unstructured knowledge including:

o Underwriting guidelines

o Risk appetite rules

o Clause libraries

o Product catalogues

o Policy and compliance documentation

Lead design of enterprise knowledge graphs and semantic knowledge layers.

Ensure AI solutions can access trusted and governed contextual information at scale

Leadership Attributes

The successful candidate will demonstrate:

Strategic thinker capable of defining a long-term AI vision.

Hands-on practitioner who can "lift the hood" and work with engineering teams.

Strong influencing and stakeholder management skills.

Ability to operate across Data, Technology, AI, and Business domains.

Strong communication and evangelization capabilities.

Pragmatic mindset with a focus on business value realization.

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible.

Please note, candidates are often Shortlisted within 48 hours.

• Start: flexible
• Duration: 31/03/2027
• Location: London/Hybrid, UK, GB