Associate Director - AI Transformation at Continuum Resource Network in New York, NY focuses on We are looking for an experienced AI transformation leader ready to own client accounts and drive end-to-end AI. As Associate Director, you will serve as a senior AI voice within managed accounts, leading transformation programs from vision through production deployment across GenAI, Agentic AI, and ML in Financial Services.
We are looking for an experienced AI transformation leader ready to own client accounts and drive end-to-end AI programs. As Associate Director, you will serve as a senior AI voice within managed accounts, leading transformation programs from vision through production deployment across GenAI, Agentic AI, and ML in Financial Services. You will operate at the intersection of AI strategy and hands-on delivery, owning executive relationships while maintaining close oversight of technical execution. This is a leadership role with clear line of sight to Director-level progression.
WHAT YOU WILL DO:
AI Transformation Leadership
- Own end-to-end AI transformation programs from opportunity framing and AI roadmap design through deployment and value realization.
- Lead executive-level AI strategy conversations (GenAI adoption, agentic workflows) with C-suite stakeholders; facilitate discovery sprints and AI readiness workshops.
- Develop business cases connecting AI capabilities to measurable financial and operational outcomes; guide multi-year client AI adoption journeys.
- Serve as primary point of accountability for program delivery, stakeholder satisfaction, and commercial outcomes within managed accounts.
Solution Architecture and Delivery
- Lead AI solution design across GenAI applications, Agentic pipelines, RAG systems, fine-tuned LLMs, and production ML, ensuring fit with FS regulatory and risk requirements.
- Partner closely with Solution Leads and cross-functional teams including AI engineers, data scientists, and ML platform engineers to drive production-ready, scalable, and compliant deployment of AI solutions at client sites.
- Review and validate technical architectures; resolve delivery risks and architectural trade-offs with engineering teams.
Growth and Team
- Own account growth: identify expansion opportunities, lead technical scoping, ROI modelling, and solution framing for new engagements.
- Develop thought leadership and represent the company at Financial Services AI conferences and industry forums.
- Build and mentor on-site AI deployment teams at client organizations; develop AI playbooks, delivery methodologies, and reusable IP accelerators.
- Collaborate with firm leadership on hiring, capability building, and practice development.
HOW SUCCESS IS MEASURED:
- Revenue growth and expansion of AI transformation programs within managed accounts.
- Production deployment of AI systems with measurable client-reported business impact.
- Development and retention of high-performing Forward Deployed Engineering talent.
- Creation of reusable accelerators, AI frameworks, and proprietary IP.
Requirements
REQUIRED:
- 8+ years across AI/ML, data science, or enterprise digital transformation with substantial time in senior, client-facing delivery roles.
- Deep hands-on command of Generative AI (LLMs, RAG, fine-tuning) and Agentic AI (multi-agent orchestration, tool-use, workflow automation).
- Proven track record leading complex AI transformation programs at large enterprises from strategy through production.
- Equally credible with C-suite on AI strategy and with engineering teams on technical architecture and delivery.
- Exceptional communication and executive storytelling, making complex AI accessible to diverse stakeholders.
BONUS SKILLS:
- Deep 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 a senior AI or engineering leader within a Financial Services firm.
- Strong technical foundation in AI/ML demonstrated through hands-on work, published projects, or equivalent practical expertise.
Benefits
- Variable incentive compensation (20%)
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Training & Development
Unlock the full job description
Create a free account to read every duty and requirement, and to contact the employer directly.

