We are a technology delivery partner, offering a unique service in the undiscovered sweet spot between consultancy and capability development. There’s a better way to deliver consulting services. We do that by freeing our customers from dependency in everything we do.
We free them from relying on external sourcing by delivering on their complex technology challenges at pace with expert teams. And we eliminate their dependence on suppliers by creating the in-house technical capability they’ll need to build tomorrow.
The quality of our people and teams hinges on our associate model. This is how we work with our community of un-benched, ego-free consultants to mobilise services within 14 days.
The Delivery Hub is responsible for ensuring client expectations are exceeded with every interaction and throughout every engagement lifecycle. Delivery is the heart of Tecknuovo, where our reputation, values and behaviours align to ensure successful outcomes and repeat business that aligns with our mission. You will sit alongside our other hubs (from Engagement, Talent, Marketing, PMO, Finance & Compliance), and it is a mixture of permanent and associate consultants providing delivery services to our clients.
About the role
We are looking to appoint a senior product designer/owner to research, analyse, design and validate customer use cases for deployment of generative and agentic AI solutions integrated with client platforms and products. You will work closely with the Engagement and Delivery teams to gain a thorough understanding of user needs in integrating AI-based solutions that enable the surfacing of critical knowledge collateral from multiple target data sources.
This will include:
* Designing AI wireframes using standard tooling (i.e. Mural)
* Using quantitative and qualitative research methods to define use cases and prototyping to improve quality, efficiency and user experience
* Monitoring deployments to ensure efficacy and leading the planning and design of iterative improvements.
* Define testing and experimentation approaches for solutions, including interface design
* Create and maintain a library of deliverables that maximise reusability, support the communication of ideas and validation of solutions.
* Engage and influence stakeholders and peers to communicate thought processes and deliverables.
Key responsibilities
* AI Project Governance & Management: Oversee and maintain an internal AI project library, ensuring all initiatives align with enterprise architecture standards and governance requirements.
* Data Strategy & Enablement: Define data principles and interface requirements for internal AI use cases, providing strategic guidance on data capability and sequencing to drive measurable outcomes.
* Value & Risk Measurement: Establish and manage metrics frameworks to evaluate risk mitigation, value realisation, and return on investment across internal AI initiatives.
* Project Delivery & Oversight: Lead internally funded or supplier-supported AI projects, coordinating with IT and other stakeholders to manage risks, dependencies, and capability development.
* AI Use Case Evaluation: Collaborate with the IT Manager to assess, prioritise, and define risk and acceptance criteria for internal AI use cases.
* Progress Reporting: Produce clear and timely reports on the status, performance, and risks of internal AI projects for stakeholders and leadership.
* Engagement Delivery: Contribute to AI-focused client engagements by delivering key design artefacts such as wireframes, use cases, and technical direction, ensuring alignment with the Statement of Work and chargeable time expectations.
* Human-Centred AI Design: Bring a user-centred design (UCD) perspective to customer AI deployments, ensuring solutions are intuitive, ethical, and aligned with user needs.
* Performance & Risk Communication: Provide regular updates to clients on AI project progress, success metrics, and any emerging risks to ensure transparency and proactive issue resolution.
* AI Opportunity Identification: Contribute to AI opportunity discussions by identifying, shaping, and proposing new AI use cases, and drive continuous improvement of deployed use cases based on user feedback, business impact, and emerging capabilities.
Experience required
* Experience in using AI tools to draw information from multiple data sources and surface it into logical, actionable outputs.
* Experience in designing use cases and user workflows in the context of agentic AI.
* Excellent communication skills, across multiple media, including the creation of client briefing materials, project plans and timelines.
* Ability to assimilate and re-communicate key information to stakeholders.
* Experience in balancing the needs of stakeholders in a fast-paced working environment.
* Experience in service design and product design or product ownership in a generative or agentic AI context.
What we offer
* A minimum of 27 days of annual leave, as well as your birthday off.
* Private medical insurance including medical, optical and dental cover.
* Office space located in the heart of London with access to the building’s premium wellness facilities, including fitness classes.
* Annual allowance for personal and professional training to fuel your career growth.
* Contribution to your pension fund.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Product Management, Strategy/Planning, and Research
* Industries
IT Services and IT Consulting
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