AI Transformation Manager – Financial Services

Continuum Resource Network

. Manage end-to-end workstreams within AI transformation programs, from opportunity framing through deployment and value realization .

Posted 10/24/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $150,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing AI transformation programs, including strategy development, deployment, and compliance within Financial Services. Proven ability to engage with stakeholders, mentor teams, and deliver measurable outcomes through AI solutions.

Highest-signal resume keywords

AI Transformation ManagementGenerative AI KnowledgeFinancial Services Domain ExpertiseClient-Facing Delivery ExperienceStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/MLData ScienceGenerative AIAgentic AIAI Solution DesignRisk ManagementTechnical Requirements DocumentationIntegration PatternsROI ModellingComplex AI Delivery Management

Soft Skills

Stakeholder EngagementMentoringThought LeadershipCommunicationCollaboration

Tools & Technologies

ML PlatformsAI Readiness WorkshopsDiscovery SprintsDelivery PlaybooksReusable IP Accelerators

Industry Keywords

Financial ServicesBankingPaymentsCapital MarketsFintechAMLFraudCredit RiskRegulatory ComplianceExplainability Requirements

About the role

Key responsibilities & impact

Manage end-to-end workstreams within AI transformation programs, from opportunity framing through deployment and value realization
Support executive-level AI strategy conversations and facilitate discovery sprints and AI readiness workshops under senior leadership
Develop business cases connecting AI capabilities to measurable financial and operational outcomes
Track program milestones, risks, and dependencies; maintain clear reporting to client stakeholders and internal leadership
Contribute to AI solution designs spanning GenAI applications, Agentic pipelines, RAG systems, and production ML, ensuring fit with Financial Services regulatory and risk requirements
Coordinate with Solution Leads and cross-functional teams including AI engineers, data scientists, and ML platform engineers to drive scalable, compliant AI deployments
Document solution architectures, technical requirements, and integration patterns for client environments
Identify account expansion opportunities and support technical scoping and ROI modelling for new engagements
Contribute to thought leadership content and represent the company at Financial Services AI events
Mentor junior team members and contribute to delivery playbooks and reusable IP accelerators

Requirements

What you’ll need

6+ years across AI/ML, data science, or enterprise digital transformation with experience in client-facing delivery roles
Solid working knowledge of Generative AI (LLMs, RAG, fine-tuning) and Agentic AI (multi-agent orchestration, workflow automation)
Track record managing complex AI delivery workstreams at large enterprises from strategy through production
Ability to engage credibly with both business stakeholders and engineering teams
Strong communication skills and ability to make complex AI concepts accessible to diverse audiences
FS domain expertise in banking, payments, capital markets, or fintech with hands-on AI application to AML, fraud, credit risk, or payments
Familiarity with Financial Services regulatory landscape including Risk and Regulatory frameworks and Explainability requirements
Background at an AI-native company, enterprise AI lab, or as an AI or engineering practitioner within a Financial Services firm
Strong technical foundation in AI/ML demonstrated through hands-on work, published projects, or equivalent practical expertise

Benefits

Comp & perks

Variable incentive compensation (20%)
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Paid Time Off (Vacation, Sick & Public Holidays)
Training & Development