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Faculty

Delivery Manager

Faculty is hiring a Delivery Manager for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Faculty.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions AI safety, delivery management and project management among its tools and skills.
  • Level classes it as a senior role.
  • Faculty has 86 other open roles on Level.

AI in this role

Own end-to-end delivery and project management of high-impact applied AI solutions for retail and consumer clients.

ai-safetydelivery-managementproject-managementai-solutionsstakeholder-managementdigital-transformation

Why Faculty?


We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.

We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.

AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

About the team

Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.


About the role

As a delivery manager, you’ll own the end-to-end success of high-impact AI projects for our retail and consumer clients. You act as the crucial link between our customers and technical teams - we’ll look to you to balance technical possibility with feasibility, ensure we maximise value for our clients, and cultivate strong external relationships which position Faculty as the partner of choice for future projects.

What you'll be doing:

  • Owning the end-to-end delivery of customer projects, from initial scoping to final implementation

  • Collaborating with technical teams, and customers, to design innovative AI solutions that solve their challenges and leverage opportunities

  • Managing project development and ensuring a delivery approach that provides maximum value to the customer

  • Building and maintaining strong relationships with customers; acting as the primary point of contact throughout the project lifecycle

  • Identifying new commercial opportunities and contributing to new business pitches and proposals

  • Developing and mentoring your peers; taking a proactive role in building good processes and practices

Who we're looking for:

  • You have previous experience in 0-1 AI/Digital transformation projects in the retail and consumer facing sectors (which also includes comms/telco, media/entertainment and consumer goods)

  • You take full responsibility for the successful delivery of your projects, from initial scoping to end-user adoption

  • You're currently client-facing - trusted to help them navigate ambiguous situations, complex technical information and unexpected challenges

  • You are a clear communicator, with outstanding written and verbal skills, using these to instil confidence, bring clarity, and influence senior stakeholders

  • You are comfortable working with technical teams and have experience delivering technical projects

  • You know how to gauge possibility, and feasibility, and how to lead a team to balance vision and pragmatism

  • You are a practical problem-solver, identifying potential issues and proactively implementing solutions

Our interview process:

  1. Talent Team Screen (40 mins)

  2. Introduction Interview (60 mins)

  3. Case Study Interview (60 mins)

  4. Interview with Business Unit Director (30 mins)

Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.

How we rate this

Delivery Manager at Faculty rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyDelivery ManagementProject ManagementAI SolutionsStakeholder ManagementDigital Transformation

Questions you could be asked

  1. How do you think about the risk of an AI system in this kind of role failing silently?
  2. Tell me about a project where delivery management was part of your work. What did you do?
  3. Tell me about a project where project management was part of your work. What did you do?
  4. Tell me about a project where ai solutions was part of your work. What did you do?
  5. Tell me about a project where stakeholder management was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Safety, Delivery Management, Project Management, AI Solutions, and Stakeholder Management. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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