AI Product Strategy Manager – Credit Cards

Lloyds Banking Group

AI Product Strategy Manager shaping practical AI solutions for Lloyds Banking Group’s Credit Cards business. Prioritising use cases, leading experiments and scaling measurable customer and commercial outcomes.

Posted 8/4/2026full-timeManchester • 🇬🇧 United KingdomMid-LevelSenior💰 £72,702 - £80,780 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI strategy and implementation within the Credit Cards and financial services sector, leveraging hands-on experience with modern AI tools and cloud-based platforms to drive measurable business impact. Capable of leading cross-functional teams and simplifying complex technical concepts for diverse stakeholders.

Highest-signal resume keywords

AI Strategy DevelopmentMachine Learning ImplementationCloud-Based Data PlatformsStakeholder ManagementTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solutions DeliveryData ScienceAdvanced AnalyticsGenerative AIApplied AI ExperimentationMLOpsCI/CD PipelinesGitNLPDocument Processing

Soft Skills

Influencing SkillsCoachingCollaborationSimplifying Technical Topics

Tools & Technologies

GCPBigQueryData EcosystemsCustomer Data Platforms

Industry Keywords

Consumer LendingCredit CardsFinancial ServicesRegulated EnvironmentReal-Time Decisioning

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Shape how AI is used across the Credit Cards business to improve customer outcomes, support growth and simplify work for teams
Lead AI transformation across the Credit Cards lifecycle
Use AI tools hands-on to test ideas quickly and validate what works
Identify and prioritise high-impact AI use cases
Build and manage a clear AI use-case backlog
Lead rapid test-and-learn cycles and demonstrate measurable value
Collaborate with engineering, data science, product, platform and business teams
Translate opportunities into clear experiments and track success metrics
Support scaling of solutions with strong customer and commercial impact
Help colleagues understand practical AI capabilities and build confidence for adoption
Bring technical and business teams together
Identify external partnerships that can accelerate capability, delivery and innovation
Support capability growth through coaching and/or management of a small team

Requirements

What you’ll need

3+ years’ experience delivering AI, machine learning, data science or advanced analytics solutions end-to-end, with clear evidence of business impact
3+ years’ experience shaping or delivering AI strategy, ideally within consumer lending, credit cards, financial services or another customer-led, regulated environment
Hands-on experience with modern AI tools and techniques, including generative AI, agentic AI, machine learning or applied AI experimentation
Strong experience with cloud-based data and AI platforms, ideally including GCP, BigQuery, MLOps, CI/CD pipelines or Git
Proven ability to turn ambiguous opportunities into prioritised backlogs, experiments, deliverables and measurable outcomes
Strong stakeholder management skills
Ability to simplify technical topics for non-technical audiences and influence business, data, engineering and platform teams
Experience with internal data ecosystems, data products or large-scale customer data platforms would be beneficial
Experience with advanced GenAI use cases such as RAG, copilots, agentic workflows, NLP, document processing or conversational AI would be beneficial
Exposure to real-time decisioning, streaming architectures, model governance or regulatory environments would be beneficial
Experience leading small teams, mentoring others or managing cross-functional workstreams would be beneficial
Relevant transferable experience is accepted

Benefits

Comp & perks

A generous pension contribution of up to 15%
An annual performance-related bonus
Share schemes including free shares
Benefits you can tailor to your lifestyle, such as discounted shopping
30 days’ holiday, plus bank holidays
A range of wellbeing initiatives
Generous parental leave policies
Reasonable adjustments during recruitment
Hybrid working
Opportunities to learn, grow and develop