Data & Analytics Strategy Manager

Lloyd's; Halifax; On-site; GBP 70,000 - 90,000; Full time

Job summary

A financial services provider in England is seeking a Responsible AI Manager to lead the ethical use of AI within their Consumer Relationships team. This role involves developing AI governance frameworks, supporting stakeholders, and identifying opportunities to enhance business outcomes through responsible AI practices. Ideal candidates will have experience in financial services, excellent problem-solving skills, and a strong understanding of data ethics.

Qualifications

• Experience in applying responsible AI principles, ideally in financial services.
• Ability to communicate AI insights and risks clearly.
• Understanding of data management and governance principles.

Responsibilities

• Lead responsible AI practices across the platform.
• Contribute to AI governance development.
• Support stakeholders on responsible AI use and compliance.
• Identify AI opportunities to enhance business initiatives.

Skills

Responsible AI Practices

AI Governance

Stakeholder Support

Consent & Data Ethics

Analytical Problem Solving

AI Storytelling

Tools

Google Cloud Platform

Vertex AI

Customer Communications tools

Job description

Overview

The Personalised Experiences and Communications (PEC) Platform is central to our Consumer Relationships BU, supporting our Group Personalisation strategy to deliver more relevant experiences for customers. We are looking for a Responsible AI Manager to join our Data Management & Governance team. This role offers the opportunity to shape how we embed AI responsibly across the PEC Platform, supporting delivery of AI use cases and ethical, transparent technology solutions for our customers.

Responsibilities

• Leading Responsible AI Practices: Enable the ethical, safe, and transparent use of AI across the platform, ensuring AI solutions are developed with strong guardrails and controls.
• AI Governance: Contribute to the development and application of frameworks for AI governance, in line with regulatory requirements and policy, while supporting delivery at pace.
• Stakeholder Support: Provide guidance to Product Owners and Engineering stakeholders on responsible AI use, risk awareness, and compliance.
• Consent & Data Ethics: Support the management of data consents and privacy, helping ensure AI models respect customer choices and legal standards.
• Opportunity Identification: Identify opportunities to use AI and data to support business initiatives and customer outcomes.
• Change Support: Support change initiatives to embed responsible AI principles in our ways of working and team culture.
• Proven Responsible AI Experience: Apply responsible AI principles, ideally within financial services or regulated industries; contribute to or lead the development of frameworks that ensure ethical and transparent AI use.
• AI Risk & Governance Expertise: Understand risks associated with AI and data usage, including privacy, bias, and compliance; support or implement AI guardrails and monitoring solutions to mitigate risks.
• Data Ethics & Consent Management: Be familiar with managing data consents and privacy controls and translate ethical considerations into practical solutions.
• Stakeholder Influence: Work closely with cross-functional teams—Product Owners, Engineers, Legal, Risk—to embed responsible AI practices; communicate complex concepts to both technical and non-technical audiences.
• Change Leadership: Support or lead initiatives that embed responsible AI into team culture and ways of working, driving adoption and continuous improvement.
• Customer-Centric Mindset: Consider the customer impact of AI solutions and commit to delivering fair, transparent, and valuable outcomes.
• Analytical & Creative Problem Solving: Bring a structured approach to problem solving with the creativity to identify opportunities where AI can deliver meaningful business and customer value.

Additional Skills

• AI Storytelling: Ability to help communicate AI insights and risks clearly.
• Cloud Platforms: Familiarity with Customer Communications, Google Cloud Platform, Vertex AI, Decisioning and other AI tools/services.
• Business Intelligence & Visualisation: Ability to support the creation and interpretation of visualisations for decision-making.
• Data Management & Governance: Understanding of data management and governance principles.

Our focus is to ensure we are inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity, or culture. We are disability confident. If you would like reasonable adjustments to be made to our recruitment processes, just let us know.

If you are excited by the thought of becoming part of our team, get in touch. At Lloyds Banking Group, we're driven by a clear purpose: to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, while the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. We will only ask you to provide confidential or sensitive information once you have formally been invited to an interview or accepted a verbal offer to join us, at which time we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We are focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.