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Chase · 1 week ago

Executive Director - AI Transformation Lead

575 Washington Blvd, Jersey City, NJ, 07310, US

Full-time

Onsite

Senior Level, Lead/Staff

$223K/yr - $325K/yr

10+ years exp

Chase is a leading financial institution offering innovative financial solutions. The Executive Director AI Transformation Lead will drive the strategy and execution of AI initiatives, collaborating with teams to solve complex business challenges and foster a data-driven culture.

BankingFinancial Services

Responsibilities

Develop and implement a comprehensive AI transformation roadmap aligned with organizational goals

Architect, design, and deploy scalable, secure AI/ML infrastructures and application stacks. Build prototypes, optimize data pipelines, and develop APIs/microservices for AI integration

Collaborate with senior stakeholders, data scientists, product managers, and engineering teams to define requirements and ensure seamless AI integration

Evaluate and implement emerging AI tools and methodologies to maintain technological leadership

Champion change management and develop learning paths to upskill teams in AI literacy

Define and track KPIs to measure the success and ROI of AI initiatives, reporting to executive leadership

Establish and enforce standards for data quality, model governance, security, privacy, and ethical AI practices

Qualification

AI/ML solutionsProgramming languagesCloud platformsMachine learningData governanceChange managementTechnical leadershipAnalytical skillsMentoring teamsExceptional communicationStrategic thinking

Required

Master's or PhD degree in quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science

10+ years of experience in software development and technical leadership roles

Proven hands-on experience developing and deploying AI/ML solutions in production environments and demonstrated experience leading large-scale transformation projects and influencing senior stakeholders

Proficiency in programming languages such as Python, Java, or C++ and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Agent Development)

Deep understanding of machine learning, deep learning, NLP, computer vision, and predictive analytics. Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods

Experience with cloud platforms (AWS, Azure, GCP), MLOps pipelines, and distributed systems

Exceptional communication skills, able to articulate complex technical concepts to non-technical audiences. Strong analytical, problem-solving, and strategic thinking and demonstrated ability to lead and mentor cross-functional teams in a fast-paced environment