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- 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.
- Why this job: Shape the future of AI while making a real impact in business strategy.
- Qualifications: 5-7 years in Product Management with a focus on AI/ML and data-driven solutions.
- Other info: Collaborative environment with diverse teams and exciting challenges.
The predicted salary is between 36000 - 60000 £ 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
Contact Detail:
Chubb Recruiting Team
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 the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with analytics and AI projects. Use real-world examples to demonstrate how you've turned complex data into user-friendly solutions.
✨Tip Number 3
Prepare for interviews by practising common questions related to product management and AI. Be ready to discuss how you've collaborated with cross-functional teams and delivered results that align with business strategies.
✨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, it shows you're genuinely interested in joining our team at StudySmarter.
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! Share specific examples of how you've engaged with these fields in the past, whether through projects, research, or personal interests. We want to see that you’re not just qualified, but genuinely excited about the role.
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 unique skills can contribute to our vision at StudySmarter!
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, so avoid jargon unless it’s necessary to showcase your expertise.
Apply Through Our Website: We encourage you to submit your application directly through our website. This ensures that your application gets to the right people quickly. Plus, it’s a great way to explore more about us and what we stand for at StudySmarter!
How to prepare for a job interview at Chubb
✨Know Your Product Inside Out
Before the interview, dive deep into analytics and AI products. Understand their lifecycle, from market research to launch. Be ready to discuss how you would develop a product vision and roadmap that aligns with business strategy.
✨Showcase Your Cross-Functional Collaboration Skills
Prepare examples of how you've successfully worked with diverse teams, like engineering and marketing. Highlight your ability to translate complex technical concepts into user-friendly solutions, as this role requires bridging gaps between various stakeholders.
✨Demonstrate Your Analytical Mindset
Be ready to discuss how you've used data to drive decisions in past roles. Share specific KPIs you've tracked and how they influenced product iterations. This will show your analytical and strategic abilities, which are crucial for this position.
✨Communicate Clearly and Confidently
Practice articulating your thoughts on AI ethics, risk management, and user-focused design. Strong communication skills are essential for this role, so ensure you can convey your ideas clearly to both technical and non-technical audiences.
