Executive Director, Agentic AI Strategy - Open Banking

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Executive Director, Agentic AI Strategy - Open Banking

lead · Technology / Software Development

We are seeking a dynamic and talented professional to join our Open Banking Strategic Business Unit (SBU) as the Executive Director of Agentic AI. This role offers the opportunity to lead the Agentic AI strategy for a new, rapidly growing, revenue-generating business, working closely with senior leaders and cross-functional teams to ensure the highest standards of compliance, transparency, and client service.

As an Executive Director of Agentic AI Strategy, you will define and execute the strategy for applying agentic AI across Open Banking to improve speed and customer experience. This prioritizes high impact use cases, establishes the adoption road map from experiment to scale, and owns governance decisions on what to proceed, pause or stop initiatives. You will align cross functional execution and ensure agentic AI is deployed responsibly within a regulated financial services environment. Your expertise will be critical in shaping the future of agentic AI within Open Banking, establishing reusable patterns, standards, and an operating model that enables responsible AI adoption at scale across the platform

The Chase Open Banking team is committed to empowering customers to share their financial data securely, safely, and transparently within the Open Banking ecosystem. Our mission is to deliver market-leading platforms that enable aggregators and direct connectors to securely access customer-permissioned data, while building out a two-sided business model that benefits both customers and commercial partners. We collaborate closely with partners across billing, invoicing, and are developing a self-service developer portal to streamline integration and access.  We support our customers’ ability to access their financial data and have full control and visibility in sharing it securely with the apps and companies they choose.

Job responsibilities

• Own the agentic AI strategy for Open Banking, defining the adoption path from experiment to pilot to scale, with clear stage gates, success metrics, and go/no-go decision criteria.

• Partner with Open Banking Product Management to identify and prioritize product use cases where agentic AI can deliver measurable improvements in speed, accuracy, or partner/customer experience.

• Define and prioritize high impact agentic use cases that materially improve speed and customer or partner experience across the Open Banking journey (e.g., onboarding, consent, partner servicing, internal orchestration, etc.).

• Establish use-case, intake evolution, and governance framework including risk assessment, human in the loop controls monitoring audibility and escalation paths consistent with regulation expectations.

• Serve as the single accountable executive for decisions on when and how agentic AI is used across Open Banking, including whether proposed use cases proceed to pilot, scale, redesigned, or stopped early based on value risk and readiness.

• Drive cross-functional alignment on agentic AI readiness — coordinating with engineering, risk, legal, compliance, and operations to ensure that agentic capabilities meet production-readiness, governance, and regulatory standards before scale deployment. Serve as the primary point of accountability for AI-specific risk assessment, human-in-the-loop controls, monitoring, auditability, and escalation paths.

• Build and maintain executive level reporting for return on investment performance and risk posture translating results into leadership decisions.

• Lead the build out of an agentic operating model for Open Banking including standards, reusable patterns, or observability and controls so that agentic capabilities can scale responsibly without slowing the integration of AI with Chase

• Uphold all executive director responsibilities expected at Chase including strong risk management control discipline ethical leadership and adherence to firm wide standards.

• Foster a culture of accountability, engagement, and high performance within the business validation team while promoting diversity and inclusion by valuing the unique capabilities.

Required qualifications, capabilities, and skills 

• 10+ years of experience in AI or machine learning automation, product/platform delivery or transformation leadership in the financial services industry.

• Strong working knowledge of the genetic systems, agent orchestration tools, function calling evolution, safe deployment patterns, and experience guiding solutions from prototype to production.

• Proven ability to build and execute road maps and run portfolio-style governance.

• Strong cross functional leadership in complex organizations able to align products technology data risk legal and operations towards shared outcomes resolving ambiguity and accelerating execution

• Excellent written and verbal communication skills including experience presenting complex contractual and billing topics to senior leadership

• Sound judgement, discretion, and decision-making consistent with senior leadership accountability.

• Collaborative mindset with strong interpersonal skills

• Strong culture leader and teamwork spirit

• Bachelor’s degree required

Preferred qualifications, capabilities, and skills 

• Advanced degree (e.g., JD, MBA, MPA) strongly preferred

Note: This role requires five days in the office (Mon-Fri) in New York, NY or Wilmington, DE and will not support Hybrid options. Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting.