Director, Technology Business Operations

PitchBook PitchBook · Fintech · Seattle, WA · Product Development

The Director, Technology Business Operations/Chief of Staff will operate the Office of the EVP, Technology & Engineering, amplifying the impact of technology leadership across a global Technology organization of over 500 employees. This role translates strategy into execution, runs the operating cadence, and drives cross-functional alignment for Product Engineering, Data Collection Technology, AI/ML, Enterprise Technology, and Technology Operations to deliver against company priorities. The role requires technical depth to interrogate proposals, shape architecture decisions, and accelerate outcomes. Success involves establishing a predictable operating system, sharpening portfolio choices, and improving delivery velocity and reliability.

What you'd actually do

  1. Serve as a thought partner to the EVP, shaping priorities, sequencing big bets, and maintaining a transparent risk & decision log
  2. Translate strategy into OKRs, KPIs, and investment theses; ensure capacity/headcount plans and budgets align to those bets
  3. Lead annual and quarterly planning (OKRs, capacity, headcount) and ensure roadmaps across Technology & Engineering functions
  4. Run the technical RFC process and technology review cadence; drive crisp design‑doc hygiene and decision records
  5. Partner with platform/data/ML/security leaders to ensure alignment across cloud strategy, data platforms (e.g., Snowflake), AI initiatives, and engineering metrics; elevate trade‑offs to the EVP when needed

Skills

Required

  • Bachelor's or Master's in Computer Science, Computer Engineering, or similar
  • 12+ years in technology roles (Engineering, Architecture, Product/TPM), including operating at senior levels in a 500+ employee tech org
  • Demonstrated ability to evaluate technical designs (cloud architecture, data platforms, AI/ML services, security posture), interrogate trade‑offs, and align to strategic outcomes
  • Track record running large cross‑functional programs in ambiguous environments; expert in OKR and portfolio governance
  • Strong working knowledge of Team Topologies and organizing technology teams at scale
  • Exceptional written/verbal communication and influencing skills; high EQ, professionalism

What the JD emphasized

  • AI/ML initiatives
  • AI/ML services
  • technical designs (cloud architecture, data platforms, AI/ML services, security posture)
  • interrogate trade‑offs
  • align to strategic outcomes
  • running large cross-functional programs in ambiguous environments
  • OKR and portfolio governance
  • organizing technology teams at scale