At a Glance
- Tasks: Lead the lifecycle of analytics and AI products from vision to launch.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical AI practices.
- Why this job: Shape the future of AI while making a real impact on business outcomes.
- Qualifications: 5-7 years in Product Management with a focus on AI/ML solutions.
The predicted salary is between 70000 - 90000 € per year.
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 focused 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.
Required Skills & Experience
- 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.
Analytics and AI Enablement Lead in London employer: Chubb Ltd.
Chubb is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Analytics and AI Enablement Lead role. With a strong focus on employee growth and development, Chubb offers opportunities to work at the forefront of AI and analytics, ensuring that your contributions directly impact business outcomes. Located in a dynamic environment, employees benefit from a diverse team and a commitment to responsible AI practices, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics and AI Enablement Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in analytics and AI. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by researching the company’s recent projects and challenges. Tailor your answers to show how you can help them achieve their goals with your unique skill set.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Analytics and AI Enablement Lead in London
Some tips for your application 🫡
Show Your Passion for AI and Analytics:When writing your application, let your enthusiasm for analytics and AI shine through! We want to see how you connect with the role and why you're excited about driving AI-powered products. Share any relevant experiences that highlight your passion.
Tailor Your Application:Make sure to customise your CV and cover letter to align with the job description. Highlight your experience in product management, especially in AI/ML or data-driven products. We love seeing how your skills match our needs!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your achievements and how they relate to the responsibilities outlined in the job description. We appreciate clarity and directness!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Chubb Ltd.
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and data science fundamentals. Be ready to discuss algorithms, model training, and evaluation techniques. This role is all about translating complex tech into user-friendly solutions, so show them you can do just that!
✨Showcase Your Product Management Skills
Prepare examples from your past experiences where you've successfully launched AI-driven products. Highlight your understanding of agile methodologies and how you've managed product backlogs. They’ll want to see that you can turn business objectives into actionable tasks.
✨Collaboration is Key
This role involves working with various teams, so be ready to talk about your experience in cross-functional collaboration. Share specific instances where you’ve partnered with engineering, marketing, or sales to shape product requirements. It’s all about teamwork!
✨Data-Driven Decision Making
Be prepared to discuss how you use data to drive decisions. Talk about KPIs you've established in the past and how you've used insights to refine product direction. They’ll want to know you can leverage analytics to optimise AI functionality effectively.
