AI Deployment Lead, Financial Services

Global Brain Corporation

. Coordinate cross-functional teams from discovery through production and sustained use.

Posted 10/28/2026full-timeSan Francisco • California • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in coordinating cross-functional teams and managing complex enterprise programs, with a strong focus on product specifications, client relationships, and driving behavioral change. Possesses hands-on AI fluency and the ability to translate ambiguous problems into actionable solutions that deliver customer value.

Highest-signal resume keywords

Cross-Functional Team LeadershipAI FluencyProduct and Commercial JudgmentBehavioral and Process Change ManagementClear Written and Verbal Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Program ManagementProduct Specification DevelopmentRisk ManagementStakeholder EngagementData Flow EvaluationTechnical Trade-Off AnalysisPrototypingDelivery Cycle ManagementAcceptance Criteria DefinitionClient Relationship Management

Soft Skills

Relationship BuildingProblem SolvingAdaptabilityCollaborationInfluencing Without Authority

Industry Keywords

Financial ServicesEnterprise SoftwareConsultingComplex IndustriesBehavioral Change

About the role

Key responsibilities & impact

Coordinate cross-functional teams from discovery through production and sustained use.
Set priorities, run delivery cycles, manage dependencies and risks, and align clients and teams on commitments.
Work with practitioners and sponsors to understand workflows, prioritize valuable problems, and translate requirements into product specifications and acceptance criteria.
Decide what to build, defer, or stop.
Build relationships with users, win over skeptical stakeholders, and lead people-and-process changes for new ways of working.
Use direct feedback to improve products and verify sustained use.
Agree outcomes and baselines with clients, track deployment improvements, surface risks, and address quality or adoption problems after launch.
Own day-to-day client relationships, communicate with senior sponsors, and connect delivered results to new opportunities.
Partner with commercial colleagues on expansion proposals and commitments.
Build or adapt prototypes, test consequential AI output, and work with engineers on technical trade-offs.
Partner with product managers to turn recurring customer needs into reusable capabilities and implementation practices.

Requirements

What you’ll need

Track record of owning complex enterprise programs through production and adoption, with clear examples of your own decisions and results.
Experience leading cross-functional teams, coordinating multiple workstreams, and building trusted relationships with senior clients and the people doing the work.
Hands-on AI fluency, including understanding AI limitations and discussing data flows, evaluation, human review, and technical trade-offs with engineers.
Product and commercial judgment to turn ambiguous problems into useful first releases, make scope trade-offs, and connect delivery to customer value and account growth.
Experience driving behavioral and process change in large organizations, aligning competing incentives, and earning adoption without direct authority.
Clear written and verbal communication.
Willingness to learn an unfamiliar domain.
Drive to resolve gaps independently.
Financial-services experience is a strong plus.
Commercially minded operators from consulting, enterprise software, and other complex industries are welcome if they can show how they learned a domain and delivered lasting results.
Must be currently legally authorized to work in the US.

Benefits

Comp & perks

Regular travel to customer sites is expected, particularly during discovery, launch, and adoption.