Vice President, Technology Operations
Charlotte, North Carolina, United States of America
Full Time
4 hours ago
$225,000 - $285,000 USD
No H1B
Key skills
AISaaSLeadershipBudgeting
About this role
Role Overview
- Serve as the operating executive to the CTO, responsible for managing the Technology Operating System across Infrastructure, Applications, Product, Security, Data, and PMO.
- Remove CTO as the day-to-day integrator and escalation backstop.
- Ensure renewals, budgeting, governance, resilience, and cross-functional execution operate through durable control systems.
- Reporting to Chief Technology Officer and serves as delegated operating authority across the Technology Leadership Team.
- Maintain forward-looking renewal calendar with vendor tiering.
- Standardize executive-ready renewal packets and approval routing.
- Coordinate Security, Risk, Finance, Legal, and functional inputs.
- Enforce timeline discipline to eliminate last-minute escalations.
- Surface commercial tradeoffs clearly for executive decision.
- Establish owner and stabilization cadence within 24–48 hours and prevent unnecessary CTO involvement.
- Own the technology budgeting runbook and forecasting cadence.
Requirements
- 12–20 years in enterprise technology environments with ownership of operating cadence and governance.
- Experience at the VP / SVP / Head of Technology Operations level in multi-disciplinary technology organizations.
- Demonstrated success in reducing executive operational load through durable control systems.
- Experience in regulated or risk-sensitive environments (financial services or similar).
- High-accountability operator who drives closure without relying on formal reporting authority.
- Comfortable enforcing standards across senior technical leaders.
- Commercially aware; calm under escalation.
- Focused on measurable outcomes and repeatable mechanisms over heroics.
- Working knowledge of enterprise infrastructure, SaaS, security posture, and resilience practices.
- Experience overseeing automation initiatives as an operating discipline.
- Familiarity with enterprise AI enablement in governed environments.
- Deep coding experience, enterprise architecture ownership, AI research or model development, or infrastructure subject matter specialization is not required for this role.