Senior Manager – PE

Company: Faculty
Apply for the Senior Manager – PE
Location: London
Job Description:

Overview

In this role you drive high-impact AI-driven due diligence and advisory across private equity transactions. You will lead cross-functional teams, translate technical risk into clear investment theses, and shape AI strategy for portfolio companies. You’ll identify new business opportunities, mentor teams, and foster long-term client relationships. This role blends entrepreneurial growth with rigorous, data-driven analysis to move deal value and portfolio defensibility.

Pay / Benefits

  • Unlimited Annual Leave Policy
  • Private healthcare and dental
  • Enhanced parental leave
  • Family-Friendly Flexibility & Flexible working
  • Hybrid Working
  • Sanctus Coaching

Responsibilities

  • Lead high-velocity buy-side and sell-side AI due diligence engagements under tight deadlines
  • Perform market scans and AI maturity benchmarking against peers and emerging tech entrants
  • Quantify AI-driven risks and impact on defensibility or terminal value
  • Direct cross-functional teams to evaluate target data assets, IP, and architecture
  • Drive business development with PE sponsors and deal leads; build advisory relationships
  • Advise clients on AI strategy and solutions; articulate AI value in various business contexts
  • Lead project meetings with clear communication of purpose and direction
  • Identify risks early and implement mitigating actions to ensure project success
  • Mentor and develop project teams, aligning growth with responsibilities

Key requirements

  • Experience delivering rapid-turnaround AI due diligence or growth strategy projects within PE, M&A, or transaction advisory
  • Ability to communicate trade-offs to PE deal partners and target executives
  • Understanding of AI unit economics, data moats, and cost structures in B2B software/tech-enabled services
  • Experience as an equity analyst or equivalent, leveraging investment analysis rigor for AI strategy
  • Background in technology delivery from consulting, tech, or data-focused fields
  • Structured, analytical, and technical problem-solving approach
  • Ability to identify and develop new business opportunities and growth within accounts
  • Comfort with ambiguity and structuring commercials and pricing
  • strong communication with executive stakeholders
  • mentoring and team development
  • cross-functional collaboration
  • AI due diligence
  • market benchmarking and maturity assessments
  • data assets and IP evaluation

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Posted: October 1st, 2026