AI Transformation Manager - FDE - Financial Services

Continuum Resource Network•Atlanta, GA

3d•$150,000 - $200,000

About The Position

The AI Transformation Manager is a management-level, client-facing engagement role focused on leading workstreams within larger AI transformation programs in Financial Services. The role works directly with client stakeholders and contributes to solution design across Generative AI, Agentic AI, and machine learning use cases, including fraud detection, AML, credit risk, payments intelligence, and customer experience. It translates business requirements into AI solution frameworks and drives day-to-day delivery with cross-functional teams. The role manages 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 architecture and delivery of compliant, scalable AI solutions, supports account growth and thought leadership, and mentors junior team members while helping develop reusable delivery materials.

Requirements

At least 6 years across AI/ML, data science, or enterprise digital transformation, with experience in 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 both 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, 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 that connect AI capabilities to measurable financial and operational outcomes.
Track program milestones, risks, and dependencies, and 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.