AI Transformation Manager - FDE - Financial Services

Continuum Resource Network•New York, NY

3d•$150,000 - $200,000

About The Position

The AI Transformation Manager leads workstreams within larger AI transformation programs, works directly with client stakeholders, and contributes to solution design across Generative AI, Agentic AI, and machine learning use cases in Financial Services. Example use cases include fraud detection, anti-money laundering, credit risk, payments intelligence, and customer experience. The role translates business requirements into AI solution frameworks and drives day-to-day delivery with cross-functional teams. The position manages end-to-end workstreams from opportunity framing through deployment and value realization; supports executive AI strategy discussions and discovery activities; and develops business cases tied to measurable financial and operational outcomes. It also contributes to solution architecture and coordinates teams delivering scalable, compliant AI solutions for client environments. The role supports account growth, technical scoping, and ROI modeling; contributes to thought leadership and industry events; and mentors junior team members while helping develop delivery playbooks and reusable intellectual property.

Requirements

At least 6 years of experience across AI/ML, data science, or enterprise digital transformation, including client-facing delivery roles.
Solid working knowledge of Generative AI, including LLMs, RAG, and fine-tuning, and Agentic AI, including multi-agent orchestration and workflow automation.
Track record managing complex AI delivery workstreams at large enterprises from strategy through production.
Ability to engage credibly with business stakeholders and engineering teams.
Strong communication skills and ability to make complex AI concepts accessible to diverse audiences.

Nice To Haves

Financial Services domain expertise in banking, payments, capital markets, or fintech, with hands-on AI application to AML, fraud, credit risk, or payments.
Familiarity with the Financial Services regulatory landscape, including risk and regulatory frameworks and explainability requirements.
Background at an AI-native company or 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.

Responsibilities

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, and maintain reporting for client stakeholders and internal leadership.
Contribute to AI solution designs spanning Generative AI applications, Agentic AI pipelines, RAG systems, and production machine learning, accounting for Financial Services regulatory and risk requirements.
Coordinate with Solution Leads, 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 modeling 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.