AVP/VP, AI Transformations Manager
Cross River · Fort Lee, NJ · 3 wk ago
HybridEngineering$170k–$200k/yrFull-time
Responsibilities
- Define and manage the AI Transformation roadmap, ensuring alignment with Cross River’s strategic objectives, regulatory standards, and innovation priorities.
- Partner with business, data, and technology leaders to identify AI-driven opportunities for efficiency, risk management, and new revenue models.
- Establish a governance framework for AI projects, including evaluation metrics, responsible AI principles, and lifecycle management.
- Oversee commercialization of AI capabilities, enabling scalable deployment of internal tools and potential external monetization opportunities.
- Lead the planning, coordination, and execution of AI initiatives across multiple business domains—banking, lending, risk, compliance, and customer experience.
- Develop and maintain a portfolio management system for all AI programs, ensuring transparency on timelines, costs, dependencies, and outcomes.
- Ensure data readiness and model governance across all AI deployments in close partnership with data engineering and compliance teams.
- Track and report on transformation metrics, including adoption, ROI, and productivity gains.
- Partner with product, engineering, operations, and risk teams to embed AI solutions into enterprise workflows.
- Drive organizational change management to enable smooth adoption of AI technologies, ensuring training and alignment across teams.
- Serve as a liaison between business and technical teams, translating complex AI capabilities into actionable business insights.
- Promote a culture of responsible AI innovation that balances experimentation with ethical standards and risk management.
- Identify opportunities to externalize AI capabilities through partnerships, APIs, and new product lines.
- Collaborate with external vendors, startups, and research organizations to expand the bank’s AI ecosystem.
- Support the Chief Data and AI Officer in defining AI monetization strategies and evaluating go-to-market models.
Qualifications
- 10+ years of experience in technology, analytics, or transformation roles, with at least 5 years in AI/ML program or product management.
- Proven experience leading cross-functional AI initiatives from conception through implementation in a regulated industry (preferably financial services, fintech, or banking).
- Strong understanding of AI platforms, MLOps, model governance, and data management frameworks.
- Experience managing stakeholder engagement, budgets, and vendor relationships for large-scale transformation programs.
- Exceptional ability to translate technical AI concepts into business outcomes and communicate effectively at all organizational levels.