At a Glance
- Tasks: Lead product definition and collaborate with teams to shape innovative digital products.
- Company: WTW, an inclusive employer supporting the LGBTQ+ community.
- Benefits: 25 days annual leave, private healthcare, pension scheme, and hybrid working options.
- Other info: Join a dynamic team with excellent career growth opportunities.
- Why this job: Make a real impact in risk analytics while using cutting-edge AI tools.
- Qualifications: Experience as a Business Analyst or Product Owner in agile environments.
The predicted salary is between 63000 - 77000 £ per year.
Join the Willis Neuron product team as a Lead Product Business Analyst taking ownership of product definition for one of our three key delivery pillars: Data, Calculations or Agentic Analytics. You will help shape innovative digital products that enable better risk insight, analytics and decision-making across Risk & Broking. Working alongside a Delivery Lead and Product Architect, you will play a key role in defining what we build, why it matters and where we prioritise investment. Acting as both the pillar's Product Lead and senior business analyst, you will translate the needs of brokers, actuaries and clients into clear, prioritised product requirements that engineers and AI coding agents can build against.
You will collaborate with broking teams, actuaries, model builders, UX designers and engineers to develop products that bring together data, analytics, climate risk and AI-driven capabilities. As our delivery model increasingly embraces AI agent-led development, you will help ensure requirements are clear, robust and outcome-focused, while using AI tools as part of your own day-to-day work. Reporting to the R&A & Data Leader, this role offers a hybrid working model, ideally with one to two days per week in our London or Ipswich office, alongside occasional travel to support stakeholder engagement and team collaboration.
The Role:
- Own product definition for your pillar: shape the needs of broking teams, actuaries, and clients into well-defined, valuable Features on the central backlog, from early discovery through to adoption.
- Set priorities and value with the pillar's Delivery Lead and Product Architect, pre-aligning with R&A and Actuarial Leads and representing the pillar at the prioritisation forum and roadmap reviews.
- Run discovery with business and design colleagues: workshops, interviews, and journey mapping that uncover the real problem before a solution is chosen, validating concepts with UX and end users.
- Write clear, outcome-focused requirements, including user stories, acceptance criteria, business rules, process flows, and data models, precise enough for engineers and AI coding agents to build against and test.
- Work with engineers and architects through delivery: challenge solution options, resolve requirement and scope questions at pace, and validate the result with business users before release.
- Define and track success measures for your pillar's Features, using usage data, operational insight, and stakeholder feedback to steer the next iteration and evidence the value delivered.
- Analyse business processes and customer workflows to identify opportunities for optimisation and automation, including where AI agents can take on the work.
- Keep the central backlog board accurate (priority, dates, RAG status, and linked dependencies) and raise risks, issues, and cross-pillar dependencies early.
- Guide and coach other analysts in your pillar, and set the standard for analysis, documentation, and backlog quality across R&A and Data.
- Use AI tools (e.g. Microsoft Copilot, Claude) in your daily work to accelerate discovery, analysis, story writing, and documentation, and help the team adopt AI-assisted and agent-led delivery.
Qualifications
What you'll bring:
Essential Experience
- Experience working as a Business Analyst, Product Analyst, or Product Owner on software products in an agile environment, including leading analysis or product definition for a product area, team, or workstream.
- Proven ownership of a backlog or roadmap: shaping features, writing user stories and acceptance criteria, and prioritising by value, risk, and dependency with senior stakeholders.
- Strong business analysis craft, including elicitation, process and data analysis, and solution definition, turning complex problems into clear, testable requirements.
- Experience facilitating workshops and guiding business and technical stakeholders to decisions, with the confidence to influence and challenge at a senior level.
- Experience of agile delivery (Kanban, Scrum, or similar) working from a shared, board-based backlog.
- Hands-on professional use of AI assistants (e.g. Microsoft Copilot, Claude), with good judgement on where they add value and where their output must be validated.
- A good level of technical understanding: able to read data models and solution designs, understand APIs and integration, and challenge options alongside architects and engineers.
- Experience guiding or mentoring other analysts, formally or informally.
- Excellent communication and relationship-building across business, design, engineering, and specialist teams, working independently while managing competing priorities.
Desirable Experience:
- Experience in insurance, insurance broking, risk, financial services, or other regulated industries.
- Experience delivering data, analytics, climate, or geospatial products, or working alongside actuaries, data scientists, or model builders.
- Experience with AI-enabled solutions, such as writing specifications for AI coding agents or defining agent tools, skills, or conversational features.
- Familiarity with GitHub, Azure DevOps, Jira, Confluence, Miro, Figma, or similar collaboration and delivery tools.
- Experience working alongside UX designers and researchers, and an understanding of journey mapping, service design, or user-centred design.
- Experience operating in global teams across multiple locations and time zones.
- BCS Business Analysis certification, a product ownership certification (e.g. CSPO), or equivalent professional qualification.
What we offer:
Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.
We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.
Equal Opportunity Employer
We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtw.com
Lead Product Business Analyst employer: WTW
WTW is an exceptional employer that prioritises inclusivity and employee wellbeing, offering a comprehensive benefits package that includes 25 days of annual leave, private healthcare, and a defined contribution pension scheme. The work culture fosters professional growth through hybrid working options and opportunities to engage in meaningful community service, making it an ideal environment for those looking to develop their careers while contributing positively to society.
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We think this is how you could land Lead Product Business Analyst
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We think you need these skills to ace Lead Product Business Analyst
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at WTW, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at WTW
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with WTW’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.