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AI Product Owner & Delivery Lead – UK

dss · Remote

Operations ManagementLeadRemoteQuick applyfull-time3 days ago

About The Role

Allow us to introduce ourselves

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 include

  • 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.

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