Lead Customer Journey Manager – Data & AI Transformation

Lloyds Banking Group

. Lead definition and optimisation of end-to-end client and colleague journeys .

Posted 9/23/2026full-timeBristol • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading end-to-end client and colleague journey transformations through Data, Analytics, and AI, while ensuring compliance with regulatory obligations and data stewardship practices. Capable of translating complex business and customer requirements into actionable data use cases and technology solutions.

Highest-signal resume keywords

Data Stewardship ExpertiseEnd-to-End Journey TransformationData Analytics and AI SolutionsCross-Functional CollaborationStrategic and Analytical Judgement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data OwnershipBusiness TerminologyCritical Data ElementsQuality StandardsData LineageRegulatory ObligationsData FlowsIntegration PointsUse Case DevelopmentOperational Performance Analysis

Soft Skills

Compelling Communication SkillsInfluencing Senior LeadersSimplifying Complex IssuesConstructive ChallengeCreating Shared Accountability

Industry Keywords

Client JourneyColleague JourneyData ProductsOperational EfficiencyBusiness PerformanceCustomer OutcomesMultidisciplinary TeamsStrategic Data ProductsData InsightsCross-Functional Delivery

About the role

Key responsibilities & impact

Lead definition and optimisation of end-to-end client and colleague journeys
Identify how Data, Analytics and AI can improve decision-making, customer outcomes, operational efficiency and business performance
Translate business, customer and regulatory requirements into Data, Analytics and AI use cases
Define and maintain journey, process, data and integration maps
Partner with Product, CTO, CDAIO and Operations teams on shared Data & AI capabilities, data flows and dependencies
Shape functional and non-functional data requirements, including business entities, attributes, metrics and data products
Embed data stewardship practices covering ownership, definitions, quality, lineage, controls and regulatory obligations
Partner with Platform Leads, Data Product Owners, Engineers, Architects and AI specialists on scalable, compliant solutions
Use customer, operational and data insights to identify improvement opportunities, risks and prioritisation actions
Orchestrate cross-functional delivery across business, operations, technology, risk and data teams

Requirements

What you’ll need

Significant experience leading complex, end-to-end client or colleague journey transformation using Data, Analytics and AI
Proven ability to translate customer, business and regulatory needs into prioritised use cases and technology-enabled solutions
Strong data stewardship expertise, including data ownership, business terminology, critical data elements, quality standards, lineage, controls and regulatory obligations
Experience connecting journey and business requirements to authoritative data sources and strategic data products
Strong strategic and analytical judgement using customer insight, operational performance and data evidence
Ability to evaluate feasibility, value and end-to-end impact of Data & AI propositions
Extensive experience working with Product Owners and multidisciplinary teams
Strong understanding of business processes, system capabilities, data flows and integration points
Proven ability to influence senior leaders and orchestrate alignment across business, product, operations, engineering, data, architecture, risk and change
Compelling communication skills and ability to simplify complex issues, challenge constructively and create shared accountability

Benefits

Comp & perks

Flexible working options, including flexibility in when hours are worked, hybrid working, and job share
Pension contribution of up to 15%
Annual performance-related bonus
Share schemes including free shares
Lifestyle benefits such as discounted shopping
30 days’ holiday, plus bank holidays
Wellbeing initiatives
Generous parental leave policies
Reasonable workplace adjustments, including flexibility in office attendance, location and working patterns
Learning, growth and development opportunities