Lead Product Manager

• Experience (In Years) 9-12
• Job Location Leeds, United Kingdom

EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world’s leading corporations.

EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision‑making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others.

Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit

Role

Title:

Lead Product Manager

Location:Leeds, United Kingdom

Employment Type:Permanent

We are seeking an experienced Product Manager to lead the end‑to‑end lifecycle of complex, data‑driven products across multiple feature areas and business domains. This role will be responsible for defining product strategy, driving monetisation and commercial growth, and ensuring scalable, interoperable product design aligned with business objectives.

The successful candidate will work closely with engineering, design, data, and business stakeholders to define product requirements, solve complex design challenges, and deliver high‑impact product roadmaps. You will use customer insights, market trends, and data‑driven analysis to prioritise initiatives, guide strategic decision‑making, and optimise product performance and adoption.

This role also involves coordinating Product Managers across multiple products, ensuring clear objectives, effective delivery planning, and measurable business outcomes. The ideal candidate will combine strong commercial awareness with excellent communication and stakeholder management skills, with the ability to influence senior executives while partnering effectively with technical teams to deliver scalable and innovative product solutions.

As part of your duties, you will be responsible for:

• Represent and communicate the vision, value, and strategic direction of data products across the assigned business vertical and wider organisation.
• Build strong relationships with senior stakeholders and end‑users across business, engineering, and data science teams to ensure alignment and effective delivery.
• Act as a bridge between cross‑functional squads and business units, translating business needs into actionable data product strategies, capabilities, and delivery plans.
• Provide guidance and oversight to vendor‑supplied squad members to ensure consistent delivery quality, alignment to standards, and a strong focus on value realisation.
• Define, maintain, and communicate a clear roadmap for data products, balancing short‑term MVP delivery with longer‑term strategic objectives.
• Prioritise initiatives based on business value, technical feasibility, and user needs, ensuring transparent and structured decision‑making.
• Identify and manage delivery dependencies across squads and teams to ensure timely and predictable product releases.
• Ensure that planning artefacts, backlogs, and roadmaps are maintained to a high standard and aligned with organisational governance processes.
• Facilitate effective collaboration between data engineering, analytics, governance, architecture, and business teams to ensure cohesive and aligned delivery.
• Ensure consistency of data definitions, quality expectations, and usage policies across all data products produced by the vendor.
• Lead discovery sessions, cross‑functional workshops, and requirement‑gathering activities to validate assumptions and ensure a value‑focused product direction.
• Promote a shared understanding of data product capabilities and updates through documentation, demonstrations, and structured stakeholder engagement.
• Define, track, and report on KPIs that demonstrate the success, adoption, and performance of data products.
• Evaluate business value delivered and incorporate feedback to refine future…