dss+
AI Product Owner & Delivery Lead – UK

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About Us
At dss+, we’re not just another global consulting firm. We exist to save lives and create a sustainable future – for our clients, employees, and communities. We put people at the heart of everything we do, bringing together deep expertise, pragmatic problem-solving, and a genuine passion for impact.
As we continue to strengthen our digital and innovation capability, we are looking for an AI Product Owner & Delivery Lead to join our growing team. This is a unique opportunity to shape how we identify, design, and deliver AI-enabled solutions across our business and, over time, with our clients. You’ll help us unlock operational efficiencies, develop agentic AI tools, and embed innovation into the way we work – while ensuring every initiative drives measurable value and aligns with our purpose.
Does this sound like you?
As part of a forward-thinking technology and consulting community, you will take the lead on designing, implementing, and operationalising AI use cases across dss+. You will combine strategic thinking with hands-on delivery: shaping and delivering on our AI roadmap, managing multiple waves of use-case development, and bringing practical solutions to life for consultants, operations, and support teams.
Key Responsibilities
- Leading the end-to-end AI use-case identification and implementation process – from ideation and prioritisation to deployment and adoption.
- Acting as a product owner and delivery lead for AI conversation agents and other automation initiatives, ensuring they deliver clear operational and financial outcomes.
- Partnering with consulting practices, functional leaders, and technical teams to map workflows, spot transformation opportunities, and embed AI solutions.
- Tracking emerging technologies and releases (e.g., Microsoft, OpenAI) to assess their relevance and translate them into actionable opportunities for the firm.
- Building and maintaining a framework for AI-driven efficiency, ensuring results are measurable and sustainable.
- Supporting capability building and change management, training colleagues and champions to adopt new tools.
- Contributing to thought leadership on AI, innovation, and responsible technology deployment within high-hazard industries.
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.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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 You Bring
You are an experienced AI programme or product leader, able to bridge business strategy, technology, and delivery. You combine curiosity with pragmatism and are comfortable operating at pace in an entrepreneurial environment.
Your experience and expertise include:
- A strong understanding of AI and data technologies (machine learning, NLP, computer vision, generative and agentic AI) and their application to operational efficiency.
- Proven success managing cross-functional AI or digital transformation programmes, ideally in consulting or asset-intensive industries (energy, mining, chemicals, manufacturing).
- Ability to map business processes and identify opportunities for automation or augmentation.
- Familiarity with cloud platforms (Azure, AWS, GCP), APIs, integration tools, and ethical AI principles.
- Solid experience with agile delivery and vendor/partner management.
- Excellent interpersonal and facilitation skills, able to engage both executives and technical specialists.
- A track record of delivering tangible outcomes, not just pilots or proofs of concept.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Qualifications & Background
- Bachelor’s or master’s degree in engineering, Data Science, Computer Science, Business, or Operations Management (or equivalent).
- 5–10 years’ experience in AI project delivery, digital transformation, or technology-enabled consulting.
- Certifications in AI/ML, Agile, or Change Management are an advantage.
- Fluent in English (additional languages a plus).
- Based ideally in the UK with flexibility to work regionally.
A Bit More About Us
We are implementers and change-makers. Our passion lies in helping clients solve their biggest operational, safety, and sustainability challenges, while building cultures that embrace innovation and resilience.
Our expertise spans high-hazard and asset-intensive industries – chemicals, oil & gas, energy, metals & mining, manufacturing, and private equity. We translate complex problems into actionable roadmaps that deliver measurable results.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location