About the role
LEA Product Manager
Role Summary
We are looking for a hands-on product manager that will be responsible for the GenAI visualisation and conversational analytics frontend capability. As part of this role, you will be working closely with the Associate Director- Visualisation to help shape and materialise the overall vision, strategy and the roadmap for the capability.
You'll be responsible for bridging GenAI for BI, building and scaling GenAI visualisation products, owning the governance railway for the capability and ensuring the delivery of trusted, explainable conversational analytics for the business aligned with common enterprise data standards.
Key Responsibilities
- Help define and execute the product roadmap for GenAI visualisation and conversational analytics, balancing long-term vision with immediate business priorities.
- Lead the end-to-end development and integration of GenAI visualisation products and workflows by partnering closely with the business.
- Leverage analytics to monitor user adoption, engagement and AI performance, driving actionable insights and results.
- Help define the standards and the operating model for semantic models, control retrieval strategies and change management controls.
- Work closely with the engineering team to improve the overall performance of the GenAI visualisation offering, actively and iteratively.
- Enable and embed the GenAI visualisation governance strategy and the guardrails required for the safe and responsible use of AI across the organization.
- Partner with key stakeholders to ensure the GenAI visualisation capability is compliant with relevant organizational controls.
- Build relevant product documentation, end-user adoption of playbooks, and journeys.
Required Skill & Experience
To be successful in this role, you’ll need to demonstrate proven experience in building and scaling enterprise GenAI data products (front-end) and have a deep understanding of both open source and paid visualisation technologies such as Looker, Qlik, Tableau etc.
- 5-8 years in product management or consulting within financial services
- Analytical mindset with strong communication and problem-solving skills
- Demonstrated success shipping AI, data or machine learning products
- Ability to translate user needs and GenAI capabilities into clear technical specifications
- Deep understanding of analytics tools (Looker, Qlik, Tableau, Power-BI, etc)
- Proven ability to drive cross-functional alignment across product, engineering and client teams to deliver measurable business outcomes
- Solid understanding of modern AI technologies (e.g. generative models, conversational systems, embeddings, agentic workflows) from a product perspective