AI Deployment Lead

Global Brain Corporation

AI Deployment Lead shaping and delivering AI solutions for financial services clients. Collaborating with cross-functional teams to drive program success in complex environments.

Posted 6/18/2026full-timeSan Francisco • California • 🇺🇸 United StatesSeniorWebsite

About the role

Key responsibilities & impact

Own the delivery of your engagements from kickoff to adoption: lead agile sprints and deployment timelines, coordinate the cross-functional delivery team, and ensure timely, high-quality, audit-ready solutions in regulated environments.
Partner with clients to identify high-impact problems across their workflows and define AI-driven product features to address them.
Convert customer requirements and operational pain points into clear technical specifications and use cases for internal engineering teams.
Engage users and onboard stakeholders; lead the people-and-process change required for new ways of working to take hold, and gather direct feedback to drive continuous improvement.
Partner with the client to deliver measurable program outcomes, and own the commercial agenda within each account, building the trust and impact that expand our relationship over time.
Contribute to deep-dive assessments of target companies' AI strategies, data infrastructure, and technical maturity. Help shape plans that connect AI capabilities to commercial outcomes.
Translate complex AI/ML capabilities into actionable recommendations for investment committees, portfolio executives, and senior client stakeholders.
Serve as the bridge between customers and internal teams including data scientists, engineers, and product leads.

Requirements

What you’ll need

5+ years of professional experience with meaningful exposure to AI and how it gets deployed in complex, real-world environments.
Background in top-tier consulting (McKinsey, Bain, BCG), private equity, investment banking, AI/product companies (e.g., Palantir, Google, Amazon), or technical/operating roles at large enterprises or financial institutions.
Direct financial services experience (banking, asset management, insurance, private equity, or fintech) is a significant plus — but we're just as interested in an exceptional, commercially-minded generalist who can ramp fast in a new domain and lead deployments across a range of engagements.
Experience contributing to diligence processes, strategic analysis, technical evaluations, or enterprise AI deployments.
Startup or high-growth operating experience a plus; comfort with ambiguity and moving fast.
Demonstrated success driving both people and process change at large enterprises — operating-model redesign, workflow transformation, and adoption at scale, not just software rollouts.
Ability to win over skeptical stakeholders, align competing incentives, and lead organizations through the behavioral change new technology demands.
Strong technical literacy in AI/ML, with the ability to evaluate data pipelines, model strategies, and infrastructure at a high level.
Ability to discuss and assess technical trade-offs with engineering teams and translate them for non-technical investment and business audiences.
Familiarity with financial data, workflows, and the regulatory considerations relevant to deploying AI in financial services is a strong plus.

Benefits

Comp & perks

Competitive compensation including salary and equity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AIMLdata infrastructuretechnical specificationsstrategic analysistechnical evaluationsworkflow transformationdata pipelinesmodel strategiesenterprise AI deployments

Soft Skills

leadershipstakeholder engagementcommunicationchange managementproblem-solvingtrust buildingcontinuous improvementadaptabilitycollaborationinfluence