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Project Manager – AI Delivery
Outside IR35
3 days a week on site
Initial contract until the end of the year
Must have hands-on experience working on different AI initiatives
We’re looking for an experienced Project Manager – AI Delivery to lead the end-to-end delivery of exciting AI, Generative AI, and intelligent automation initiatives within a regulated banking environment.
Sitting within the Transformation & Change function, you’ll work across Product, Data, Engineering, Architecture, Risk, Compliance, Information Security, and Operations to take AI solutions from initial concept through to successful production deployment.
What you’ll be doing
You’ll be responsible for delivering a range of AI-enabled transformation initiatives, which could include Generative AI, internal AI assistants, customer-facing conversational AI, intelligent document processing, workflow automation, knowledge-management solutions, and machine-learning capabilities.
Key responsibilities will include:
- Leading AI and automation projects from initial business case and planning through design, build, testing, implementation, and post-launch review.
- Managing project plans, budgets, resources, milestones, risks, issues, and dependencies.
- Coordinating multidisciplinary teams across AI/Data, Engineering, Product, Architecture, Operations, and third-party suppliers.
- Managing senior stakeholders and providing clear reporting through steering committees, programme boards, and governance forums.
- Ensuring AI solutions meet appropriate regulatory, security, data privacy, model risk, and Responsible AI requirements.
- Supporting release and go-live activities, including operational readiness, change approvals, deployment, and transition into BAU.
- Driving user adoption, benefits realisation, and measurable business outcomes.
- Managing external AI technology partners, SaaS providers, and other third-party suppliers.
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
Why you're a good match
StrongYour 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.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What we’re looking for:
You’ll be an experienced Technology Project Manager with a strong track record of delivering complex technology change, ideally within banking or regulated financial services.


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You should have:
- Experience delivering AI, Machine Learning, intelligent automation, or advanced analytics initiatives.
- Strong end-to-end technology project delivery experience.
- Experience working within regulated financial services environments.
- Experience managing cross-functional teams including AI/Data specialists, engineers, and business stakeholders.
- Experience delivering cloud-hosted technology solutions.
- Strong knowledge of technology governance, risk management, and the software delivery lifecycle.
- Experience managing vendors and SaaS/technology partners.
- Excellent stakeholder management and communication skills, including working with senior stakeholders.
- The ability to operate effectively in an environment with ambiguity, experimentation, and competing priorities.
This is a great opportunity for a strong technology Project Manager who understands AI delivery and can successfully balance innovation, pace, governance, and regulatory requirements to bring AI solutions into production.
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