Own a roadmap that improves speed, quality, and predictability across discovery, build, test, release, and learning.
Introduce AI where it removes drafting and synthesis work, then require human review and edits before outputs become decisions or artifacts.
Standardize a small set of lightweight artifacts and quality checks that reduce late-cycle churn.
Partner with architecture, security, and compliance teams to reduce time spent in review queues.
Partner with DevOps and platform teams to reduce friction in the build and release process.
Improve how teams prepare releases so work is not left to the end.
Improve code and system understanding by keeping service documentation current and tied to repositories and runtime behavior.
Partner with Technology and Business Reporting and Analytics to establish baselines and targets for lead time, cycle time, review turnaround, defect escape, change failure rate, production incident rate, mean time to restore, rework, and onboarding time.
Run fast-cycle pilots that show results within weeks.
Define requirements for tooling based on workflow needs, auditability, access controls, and integration with existing platforms.
Establish a regular cadence with product, engineering, DevOps, security, compliance, and risk leaders to surface what is slowing delivery, make decisions, and track adoption.

Bachelor’s degree in Business, Engineering, Computer Science, Information Systems, or a related field.
Advanced degree is a plus
8 or more years of experience in product management, engineering, delivery, or adjacent roles, with a track record improving delivery outcomes in complex organizations
5 or more years leading cross-functional initiatives that changed how teams build and ship software
Experience introducing workflow tooling or standards that reduced cycle time, reduced rework, improved release confidence, or improved reliability
Proven experience operating in regulated environments with security, compliance, and audit expectations
Financial services experience, especially in highly regulated technology and operations environments
Experience with developer productivity tooling, DevOps practices, quality engineering, and release management
Experience applying AI to delivery workflows, including requirements drafting, code understanding, test drafting, release documentation, or incident learning.
Experience partnering with platform engineering, SRE, and enterprise architecture teams.

VP, Product & Technology – AI Solutions Product Manager

Key skills