# Director of Data and AI at Castle Trust Bank

> United Kingdom · Director+ · Software engineering · open. Source: https://alderhq.app/jobs/workable%3Acastle-trust%3A9A1BDBD674 (read 2026-11-11).

## Facts (observed)

- Company: [Castle Trust Bank](https://alderhq.app/companies/castle-trust-bank)
- Location text: Basingstoke, England, United Kingdom
- Where it can be done from (inferred): United Kingdom (evidence: "Location: Basingstoke, England, United Kingdom")
- Posted: 2026-10-05 (37 days ago)
- First seen by alder: 2026-11-10 · last verified: 2026-11-11
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://apply.workable.com/j/9A1BDBD674

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United Kingdom, n 10): p25 £126k, median £139k, p75 £163k

## Description (the employer's text)

### "Transform data into commercial value and shape the future of AI at Castle Trust Bank."

At Castle Trust Bank, we pride ourselves on being a fintech challenger bank, providing specialist property mortgages, retail finance lending and savings accounts to a wide range of customers.

We are seeking an experienced and strategic Director of Data & AI to define and deliver the Bank's data and AI strategy, helping turn data into a trusted business asset while enabling the responsible adoption of AI across the organisation.

This role is based in Basingstoke, with some travel to London, on a hybrid basis with 3 days in the office and 2 days at home.

### The role and what you'll lead and deliver

Reporting to the Chief Technology & Operations Officer, you will lead the Bank's data and AI agenda, working closely with Executive and Board stakeholders to support growth, innovation and better customer outcomes.

### Data & AI Leadership

- Define and deliver the Bank's Data & AI strategy aligned to business growth plans.
- Lead the development of data platforms, architecture, governance and analytics capabilities.
- Drive the adoption of AI across the organisation, delivering measurable business value.
- Establish robust governance to ensure data and AI are used responsibly within a regulated environment.
- Provide strategic insight and management information to support decision-making across the Bank.
- Lead and develop a high-performing data function, spanning data engineering, governance, business intelligence and analytics.
### What you'll bring

### Essential

- Significant leadership experience in Data, Analytics or AI within financial services or a similarly regulated environment.
- Proven experience delivering data strategy, data platform modernisation and analytics capabilities.
- Strong understanding of data governance, AI governance and regulatory expectations.
- Ability to translate technical capability into clear commercial outcomes.
- Excellent stakeholder management and influencing skills at Executive and Board level.
- Strong leadership capability with experience building and developing teams.
### Why join Castle Trust Bank?

As well as taking on a high-profile leadership role, you'll have the opportunity to shape how data and AI support the Bank's future growth, influence strategic investment decisions and play a key role in our ongoing technology transformation.

In addition, you will receive:

- Competitive salary
- Annual performance bonus (up to 25% of base salary, based on individual and company performance)
- Generous contributory pension through Hargreaves Lansdown
- Life Assurance
- 28 days' holiday + option to buy/sell (up to maximum of 30 days' per year)
- Additional paid volunteering day
- Private healthcare through BUPA
- Free access to BHSF Rise EAP to support colleague health and wellbeing
- Gym discounts
- Season ticket travel loans (if applicable)
- A supportive, inclusive culture where your work has real impact
### Caught your attention?

If so, we'd love to talk to you and tell you more about what it's like to work at Castle Trust Bank - The Place To Work!

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/workable%3Acastle-trust%3A9A1BDBD674 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.