Director of Technology Business Operations

PitchBook PitchBook · Fintech · Seattle, WA · Product Development

Seeking a Director of Technology Business Operations/Chief of Staff to support the EVP of Technology & Engineering in a 500+ employee global organization. This role will translate strategy into execution, manage operating cadence, and drive cross-functional alignment across Product Engineering, Data Collection Technology, AI/ML, Enterprise Technology, and Technology Operations. Responsibilities include shaping priorities, managing planning and roadmaps, overseeing technical processes, partnering with leaders on strategy, leading build-vs-buy decisions, championing engineering health metrics, and managing communications and change initiatives.

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
  • data platforms
  • cloud strategy
  • engineering health metrics
  • technical designs
  • AI/ML services