GSS, Technology Director

About the role

Bain Capital’s Special Situations group, which has ~$24 billion in assets under management, is one of the most dynamic and complex investment businesses in alternative asset management — operating across distressed debt, opportunistic credit, and special situations strategies spanning North America, Europe, and Asia. This is a rare opportunity to join that business not as a support function, but as an embedded member of the investment and operations team.

Responsibilities

• AI & Innovation

  • Partner with investment professionals and the firm’s data science & AI team to identify, evaluate, and deploy AI-enabled capabilities across the investment lifecycle.
  • Stay at the forefront of rapidly evolving AI tooling — from LLM-based workflow automation to intelligent document processing and portfolio analytics — and bring a grounded, practical perspective on where AI creates genuine leverage.
  • Build expertise in prompt engineering and working with AI APIs and/or AI development tools such as Claude code / Cursor, and champion training and adoption across investment and technology organizations.
  • Drive proof-of-concept work and lead the transition from experimentation to production deployment.

• Business Partnership & Strategic Roadmap

  • Serve as the primary technology leader embedded within the Special Situations business, building trusted relationships with investment professionals, portfolio oversight teams, finance, and operations.
  • Partner with business leadership to define, prioritize, and evolve the technology roadmap — translating investment strategy and operational needs into a coherent, forward-looking technology agenda.
  • Navigate and resolve priority conflicts across business stakeholders with transparency and sound judgment.

• Technology Delivery & Platform Ownership

  • Own the full portfolio of technology platforms supporting Special Situations, including deal pipeline management, fund administration, portfolio oversight and analytics, accounting, and investment reporting.
  • Lead delivery across internal developers, business analysts, and third-party vendors — managing scope, timelines, quality, and stakeholder communication with rigor.
  • Oversee software release cycles, vendor management, and ongoing BAU operations with a high standard for reliability and user experience.
  • Manage the technology budget with fiscal discipline; make sound build-vs-buy decisions aligned to business priorities.
  • Maintain a current-state and forward-looking view of the Special Situations technology ecosystem - including key platforms, integrations, data flows, manual workarounds, control gaps, and vendor dependencies, and use it to identify opportunities to simplify, modernize, and increase operating leverage.

• Hands-On Technical Leadership

  • Lead end-to-end rollout of AI & Technology solutions, including requirements gathering, vendor/tool selection, integration design, user acceptance testing, change management, and post-launch support.
  • Roll up your sleeves: engage directly in product design, requirements elicitation, technical prototyping, and solution architecture — this is not a purely managerial role.
  • Set the standard for engineering and delivery practices across the team, advocate for best practices in systems analysis, data management, and product governance.
  • Ensure platforms are well-integrated, scalable, and aligned with Bain Capital’s broader technology standards and data infrastructure.

Qualifications

• 10+ years of experience in technology roles supporting buy-side asset management or alternative investment firms.
• Exposure to Special Situations, Private Equity, Distressed Credit, or closely adjacent private markets strategies.
• Deep understanding of the private markets investment lifecycle — deal sourcing and pipeline, credit analysis, portfolio monitoring, fund administration, and investor reporting.
• Proven track record owning and delivering technology roadmaps in a business-embedded or product leadership capacity.
• Hands-on technical fluency: SQL, Python, data modeling, and/or BI/reporting platforms; ability to engage substantively in architecture and design discussions.
• Exceptional communication and relationship skills; able to translate between business and technical teams at all levels of seniority.
• Experience managing small teams and vendor ecosystems in an agile delivery environment.
• Hands-on experience deploying AI based solutions in a finance or enterprise context, including tools such as Claude, OpenAI, or similar platforms (preferred).
• Proficiency in prompt engineering and working with AI APIs or low-code AI development tools (preferred).
• Demonstrated experience participating in or leading AI solution rollouts, including scoping, stakeholder alignment, change management, and adoption tracking (preferred).

Pay

Expected Annual Base Salary $190,000 - $215,000

Actual base salary will be determined by a wide range of factors including but not limited to role, function, level, experience, qualifications and geographic location. In addition to a competitive base salary, this position may be eligible for a discretionary annual bonus based upon factors such as individual impact, team and firm performance.

Schedule

Full-time