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Hodge

Head of AI

Cardiff
Posted about 16 hours ago
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Do you want to be part of a force for good, helping to make life better for customers & society in the moments that matter? At Hodge, we put people at the heart of our business and that means our customers, colleagues and communities. Hodge is a Welsh financial service provider that focus on real estate finance, and specialist residential mortgage markets.

About the Role

The Head of AI is responsible for defining and delivering the bank’s enterprise-wide AI strategy across three core pillars:

  • Workplace Productivity with Copilot
  • Automation and Agentic AI
  • AI Governance, Safety and Adoption Enablement

This role ensures AI is deployed responsibly, securely, and with measurable business value to provide strategic ownership of AI initiatives, unify technical and business direction, and oversee risk-aligned AI implementation.

The Head of AI blends automation engineering, RPA/agentic orchestration, generative AI, and enterprise change leadership, steering the bank toward safe, scalable “AI-native” operations. The role requires deep experience in automation tooling, workflow orchestration, RPA platforms, and emerging agentic AI capabilities.

Essential Experience

  • Strong grounding in data pipelines, model deployment, MLOps, CI/CD automation, and cloud‑based AI architectures
  • Strong knowledge of AI safety, risk frameworks, responsible AI principles, and regulatory requirements (e.g., EU AI Act equivalents)
  • Proven Experience in AI, automation, or machine learning engineering leadership; strong working knowledge of RPA, agentic automation, workflow orchestration, and ML/LLM technologies
  • Hands‑on experience designing and deploying automation solutions using tools such as UiPath, Blue Prism, Workato, Power Platform, or equivalent aligning with RPA/AI automation leader profiles
  • Proven ability to develop and communicate AI strategy, influence senior stakeholders, and operate at C‑suite or executive levels
  • Experience running or participating in AI governance bodies (AI councils, model oversight forums, risk committees
  • Experience embedding governance into development lifecycles, ensuring auditability, fairness, explainability, data protection, and secure usage
  • Experience deploying large‑scale workplace technology (e.g., Copilot, M365, automation platforms) and ensuring organisational readiness, training, communications, and adoption tracking

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Key Responsibilities

  • Lead enterprise rollout of Microsoft 365 Copilot, ensuring adoption models reflect best practices for AI‑enhanced productivity, role‑specific training, safe usage guidelines, and incremental value realisation.
  • Identify high‑impact workflow opportunities where Copilot can reduce cognitive load, accelerate document creation, improve analytics and decision support, and streamline communication across functions.
  • Partner with Banking Value Streams to design ‘AI‑augmented roles’ and embed Copilot into daily workflows (meetings, analysis, customer service, operations).
  • Build and scale an agentic / automation capability that blends RPA, workflow orchestration, generative AI agents, and API‑driven automation—reflecting industry guidance that financial services must converge AI and RPA to achieve end‑to‑end automation.
  • Lead development of automated processes using RPA, intelligent document processing, conversational AI, and agentic orchestration frameworks.
  • Establish automation opportunity pipelines, value cases, and engineering patterns that reduce cost, reduce cycle times, and improve operational resilience.
  • Oversee technical design, architecture, and deployment of agentic workflows in partnership with Engineering, Data, InfoSec, and Operations teams.
  • Define the bank’s AI vision, roadmap, capability model, and operating architecture—aligned with modern Head of AI responsibilities around strategy, R&D, and platform capability building.
  • Translate strategy into measurable outcomes, KPIs, and investment cases including value delivery from Copilot, automation, agentic workflows, and risk‑controlled AI implementation.
  • Evaluate, select, and govern enterprise AI tools, platforms, MLOps components, and automation technologies.
  • Own enterprise AI governance, including model lifecycle oversight, safety guidelines, explainability, fairness, risk classification, and compliance with tightening AI regulations.
  • Implement guardrails that ensure secure, responsible, and transparent usage of AI across the bank.
  • Establish ethical standards and acceptable‑use boundaries in line with CTO responsibilities in governance, risk ownership, and executive accountability.
  • Build and lead multi‑disciplinary teams across AI engineering, automation, RPA, experimentation, and change adoption, aligned with expectations for senior AI leaders.
  • Work closely with Product, CTO, CRO, CPO, Real Estate Finance and Retail to integrate AI into core business operations.
  • Communicate AI strategy and delivery outcomes to ExCo and Board; chair or participate in AI governance forums or AI councils.
  • Lead prototyping of agentic AI capabilities, safe sandboxing, controlled pilots, and AI‑augmented workflows.
  • Track industry developments in generative AI, copilots, LLMs, autonomous workflows, synthetic data, and control frameworks to maintain competitive advantage.
  • Foster a culture of continuous experimentation and learning—mirroring the innovation expectations of modern AI leadership roles.

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Please be aware that should we pursue your application, all our Financial Services employees will be expected to complete background checks to assess suitability for employment, these include; a criminal record, identity, media, sanctions, adverse finance, fraud prevention and reference checks to comply with our regulatory requirements.

Hodge is an advocate of being an equal opportunities employer, We believe in promoting equality and diversity which is central to our lives today. We welcome applications from all sections of the community and recognises the value a diverse workforce brings to an organisation.

ESG and sustainability are at the heart of everything we do and serves as a reminder of the responsibility we have to our stakeholders, customers, colleagues and the communities we operate in to use our position wisely. We’re currently exploring different certifications available and have done an initial review of how we think we’d fare, as we see this as a real opportunity for Hodge given our social purpose.

Apply today to become part of Hodge’s mission to make life better for customers and society in the moments that matter.

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Skills

AI Strategy
Automation Engineering
RPA
Generative AI
MLOps
Cloud-based AI Architectures
AI Governance
Risk Frameworks
Workflow Orchestration
Model Deployment
CI/CD Automation
Data Pipelines
Stakeholder Communication
Change Leadership
Ethical Standards
Continuous Experimentation

Location

Cardiff, Wales, United Kingdom

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