We are seeking a data driven and analytically minded Product Manager II - Analytics to support the development and growth of our UKI Data Science and Credit Risk capabilities. This role operates at the intersection of Product, Data Science, and Credit Risk development, with a clear focus on turning analytics and insight into measurable customer and business value. As a Product Manager II, you will own and lead execution across one or more analytics capabilities within the UKI portfolio, acting as the primary product partner for both the Credit Risk development team and the Data Science team. You will apply established product practices to discovery, prioritisation, and delivery while contributing to product strategy within your domain.
Responsibilities
* Interact frequently with customers and stakeholders to gather, clarify, and document requirements for analytics and insight capabilities
* Identify customer and business needs and prioritise work based on value, impact, and strategic alignment
* Maintain product backlogs to support effective delivery by the Credit Risk and Data Science teams
* Act as the primary product interface to the Credit Risk development team and Data Science team, ensuring clarity on priorities, requirements, and intended outcomes
* Manage stakeholder expectations through clear, regular communication on priorities, progress, and delivery outcomes
* Work closely with the Credit Product Lead, contributing to product strategy and roadmap discussions within the Credit Risk and Data Science domains
* Support go to market (GTM) launch activities, including timelines, value messaging, and enablement needs with GTM partners
* Contribute to product-specific content used in customer facing activities (e.g. sales demonstrations, customer events, Train-the-Trainer sessions)
* Collaborate with Data Science to ensure analytical outputs (e.g. models, attributes, testing evidence, monitoring insight) meet defined product requirements and use cases
* Solve customer problems by delivering insights and capabilities that achieve agreed business goals and success metrics
* Manage defined portions of the product lifecycle, from discovery through delivery, validation, and iteration
Qualifications
* Demonstrable experience in product management or product ownership, with responsibility for backlog prioritisation and delivery of customer-facing capabilities
* Proven experience working alongside, or strong understanding of, Data Science practices and outputs
* Strong ability to translate raw data and analytical work into customer value, shaping outputs into usable insight assets and articulating outcomes clearly
* Self-starter mindset, comfortable working independently and owning key deliverables
* Strong understanding of agile methodologies
* Excellent organisational, communication, and stakeholder engagement skills
* Analytical and data-driven, with the ability to translate insights into actionable decisions
* Experience within Credit Risk Decisioning is preferred but not essential
Benefits
* Generous holiday allowance with the option to buy additional days
* Health screening, eye care vouchers and private medical benefits
* Wellbeing programs
* Access to a competitive contributory pension scheme
* Save As You Earn share option scheme
* Travel Season ticket loan
* Electric Vehicle Scheme
* Optional Dental Insurance
* Maternity, paternity and shared parental leave
* Employee Assistance Programme
* Access to emergency care for both the elderly and children
* CARES days, giving you time to support the charities and causes that matter to you
* Access to employee resource groups with dedicated time to volunteer
* Access to extensive learning and development resources
* Access to employee discounts scheme via Perks at Work
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