VP, Portfolio Technology & AI Operations

Tiverton Advisors, LLC

Los Angeles (CA)

On-site

USD 225,000 - 250,000

Full time

9 days ago

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Benefits offered by this job

Bonus eligibility
Generous PTO
Health, dental, vision
401(k) plan

Job summary

Tiverton seeks a hands-on Vice President, Portfolio Technology Operations, to lead and own the technology roadmap across Tiverton's portfolio companies. This role builds data, automation, and AI foundations on top of existing workflows, delivering value through stakeholder management and prioritized initiatives.

The ideal candidate brings extensive technology leadership, ERP and cloud-migration experience, and a practical approach to applying AI in operations, with travel to portfolio sites and

Qualifications

  • Bachelor's degree in computer science, information systems, engineering, or a related field.
  • MBA a plus.
  • 10+ years in technology, including 3+ years as the senior-most technology leader at a $50-500M revenue company.
  • Experience leading at least one full-cycle ERP implementation and one on-premise-to-cloud migration as the accountable owner.
  • Comfortable in a multi-company model, splitting time across 2-3 portfolio companies as the role expands.
  • Practical, hands-on experience applying AI and automation to business operations.
  • Strong vendor management and commercial skills, including system integrator oversight and budget ownership.
  • Ability to translate technology into business outcomes for CEOs, CFOs, boards, and non-technical teams.
  • Strong project management skills, extraordinary attention to detail, and an entrepreneurial attitude.
  • Pragmatic, high-integrity builder with a strong execution focus and operational mindset; OKR/KPI-driven, with a track record of delivering measurable results in under-resourced environments.
  • Experience in food, agriculture, or consumer packaged goods strongly preferred; portfolio company experience within a private equity context a plus.
  • Willingness to travel to portfolio companies and Tiverton headquarters in Raleigh, NC (approximately 20%)

Responsibilities

  • Assess current-state systems, infrastructure, data, and security; deliver a 100-day assessment and multi-year technology roadmap tied to business value
  • Proactively manage technical debt projects, including ERP upgrades/reimplementations and on-premise-to-cloud migration, overseeing vendor/SI selection, budget, timeline, data migration, and go-live
  • Build a modern cloud foundation (infrastructure, identity, security, integrations, data/reporting) with right-sized cybersecurity, data governance, and business continuity standards
  • Evolve tactical AI use into a governed AI strategy embedded in core operating and finance workflows
  • Manage the technology budget, vendor contracts, and service providers; drive cost discipline and measurable ROI
  • Partner with both portfolio company leadership and Tiverton's senior leadership to prioritize initiatives; report progress to portfolio company leadership and Tiverton, including through board reporting
  • Lead change management and user adoption across operations, finance, and field teams
  • Assist in hiring and developing IT staff at the portfolio companies and manage external partners; share playbooks across the Tiverton portfolio as the role expands

Skills

Technology leadership
ERP implementation
Cloud migration
AI in operations
Vendor management
Stakeholder communication
Budget ownership
Project management
Multi-company model
Travel readiness

Education

Bachelor's degree in CS/IS/Engineering
MBA preferred

Tools

ERP systems
Cloud platforms
Cybersecurity basics

Job description

Tiverton seeks a hands-on Vice President, Portfolio Technology Operations, to lead and own the technology roadmap across Tiverton's portfolio companies. This role builds data, automation, and AI foundations on top of existing workflows, delivering value through stakeholder management and prioritized initiatives.

The ideal candidate brings extensive technology leadership, ERP and cloud-migration experience, and a practical approach to applying AI in operations, with travel to portfolio sites and

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