Delivery Manager at Faculty | GB | Rezi

Delivery Manager at Faculty

Delivery Manager

Faculty · GB

Yesterday

Delivery Manager

Faculty · GB

a day ago
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About the Role

As a delivery manager, you will own the end-to-end success of high-impact AI projects for our retail and consumer clients. You will act as the crucial link between our customers and technical teams, balancing technical possibility with feasibility, ensuring maximum value for our clients, and cultivating strong external relationships.

Responsibilities

  • 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
  • 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
  • Identifying new commercial opportunities and contributing to new business pitches and proposals
  • Developing and mentoring peers, taking a proactive role in building good processes and practices

Requirements

  • Previous experience in 0-1 AI/Digital transformation projects in the retail and consumer sector
  • Experience in consulting services or CPG background is preferred
  • Full responsibility for the successful delivery of projects, from initial scoping to end-user adoption
  • Client-facing experience, trusted to help navigate ambiguous situations, complex technical information, and unexpected challenges
  • Clear communication with outstanding written and verbal skills to instill confidence, bring clarity, and influence senior stakeholders
  • Comfortable working with technical teams and experience delivering technical projects
  • Ability to gauge possibility and feasibility, and lead a team to balance vision and pragmatism
  • Practical problem-solver, identifying potential issues and proactively implementing solutions

Skills

  • AI
  • Digital transformation
  • Project delivery
  • Client relationship management
  • Business development
  • Mentoring
  • Process improvement
  • Communication
  • Problem-solving

Experience Level

  • 0-1 AI/Digital transformation projects

About the Company

  • Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
  • Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
  • Faculty innovates, builds, and deploys responsible AI that makes a significant impact.
  • Faculty possesses unparalleled depth of technical, product, and delivery expertise.
  • Faculty serves clients across government, finance, retail, energy, life sciences, and defense sectors.
  • Faculty's business and reputation are growing rapidly.
  • Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
  • Faculty empowers employees to envision and implement the most powerful applications of AI.
  • The Retail and Consumer team at Faculty is dedicated to helping clients in an industry transformed by new technologies and evolving consumer expectations.
  • The team leverages over a decade of experience in Applied AI, combining technical and delivery expertise to empower businesses.

Equal Opportunity

  • Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought.
  • Diverse teams deliver better work, relevant to the world.
  • The team is united by deep intellectual curiosity and a desire to use abilities for measurable positive impact.
  • Applications are strongly encouraged from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
  • Candidates who do not meet all requirements but are excited by the role and bring key strengths are encouraged to apply.
  • Faculty is open to conversations about part-time hours.
  • Faculty permits the use of AI for research and interview preparation, but not for generating answers during live interviews.
  • Faculty uses an AI note-taker (Metaview) in interviews, with an option to opt out.
  • Every application is reviewed by a human, never decided by AI.