Analytics and AI Enablement Lead

Chubb; Greater London; On-site; GBP 75,000 - 95,000; Full time

Job summary

A global insurance provider is seeking a seasoned Product Manager to oversee the end-to-end lifecycle of analytics and AI-powered products. This position involves developing product strategies, managing cross-functional teams, and ensuring adherence to ethical AI practices. The ideal candidate will have 5-7 years of experience in product management, proficiency in agile methodologies, and exceptional communication skills to align technical and non-technical stakeholders. Join us to shape user-focused solutions that drive business outcomes.

Qualifications

• 5–7+ years of experience in Product Management, preferably with AI/ML or data-driven products.
• Proven success in launching AI solutions.
• Skilled in analyzing data to drive decisions based on metrics and user feedback.

Responsibilities

• Develop the vision and roadmap for analytics and AI-driven initiatives.
• Partner with engineering, ML/data science, and marketing stakeholders.
• Ensure adherence to responsible AI practices by addressing bias and regulatory concerns.
• Support launch planning and marketing strategies.

Skills

Understanding of data science

AI/ML fundamentals

Agile methodologies

Analytical abilities

Exceptional communication skills

Empathy and leadership

Adaptability and creativity

Job description

Role Overview

As the owner of the end-to-end lifecycle of analytics and AI-powered products, you will guide them from market research and product vision through roadmap planning, development, launch, and iteration. Positioned at the crossroads of AI engineering, data science, design, and business strategy, you will translate complex technologies into user-focused solutions that deliver tangible results. You will align use cases to business strategy and work with Chubb’s leadership team to ensure delivery aligned to business outcomes.

Key Responsibilities

• Product Strategy & Roadmapping
• Develop the vision and roadmap for analytics and AI-driven initiatives. Conduct market research to identify opportunities and align features with business and market needs.
• Cross-Functional Collaboration
• Partner with engineering, ML/data science, underwriting, marketing, sales, and legal stakeholders to shape product requirements from concept to release.
• Governance
• Aligning use cases to business strategy and clear business outcomes. Presenting and running business focussed prioritization and governance of incoming demand working with Chubb’s executive leadership team.
• Backlog & Execution Management
• Translate business objectives into actionable product backlog items. Prioritize tasks based on impact, feasibility, and user value. Manage agile delivery through sprints, MVPs, and beta launches.
• Market & User Research
• Perform ongoing market and competitive analysis, customer interviews, and user testing. Leverage insights to refine product direction.
• Performance Monitoring & Analytics
• Establish and track KPIs (e.g., adoption, retention, accuracy). Use data-driven insights to optimize and iterate on AI functionality.
• Ethics & Risk Management
• Ensure adherence to responsible AI practices by addressing bias, privacy, fairness, and regulatory concerns. Implement safeguards during model development and deployment.
• Go-to-Market & Stakeholder Enablement
• Support launch planning, marketing strategies, sales materials, training, and product evangelism. Keep stakeholders (executives, partners) informed of progress and impact.

Qualifications

• Technical Knowledge
• Understanding of data science, AI/ML fundamentals, including algorithms, model training and evaluation, NLP/CV, and model validation.
• Product & Domain Expertise
• 5–7+ years of experience in Product Management, ideally with AI/ML or data-driven products. Proven success in launching AI solutions.
• Proficiency in agile methodologies (Scrum/Kanban) and backlog management.
• Analytical & Strategic Abilities
• Skilled in analyzing data, extracting insights, and managing ML development to drive decisions based on metrics and user feedback.
• Strong business acumen to position analytics and AI as a strategic solution to real-world problems, avoiding "AI for AI’s sake."
• Soft Skills
• Exceptional communication skills to bridge technical and non-technical stakeholders and craft clear PRDs/user stories.
• Empathy and leadership to effectively manage diverse, cross-functional teams with clarity and alignment.
• Adaptability and creativity to navigate the rapidly evolving analytics and AI landscape.