Vice President Agility Data Analytics Lead - Digital Products

Join us as a Product Transformation & Agentic AI Lead and help shape the future of product teams in an AI-enabled environment. This is your opportunity to drive meaningful change, accelerate innovation, and make a lasting impact on how we deliver value. You will work alongside talented professionals, championing agentic AI adoption and building practical tools that drive efficiency across product and technology teams. If you are passionate about technology and continuous improvement, this role offers a unique platform to lead and inspire. Drive AI-enabled transformation across product teams in Consumer & Commercial Banking Digital, building tools and practices that accelerate delivery and unlock new efficiencies.

As a Product Transformation & Agentic AI Lead in Consumer & Commercial Banking Digital, you will play a central role in transforming how product teams operate. You will translate emerging AI capabilities into practical tools and solutions, fostering a culture of experimentation and continuous improvement. You will partner with product and technology stakeholders to identify efficiency opportunities, build AI-enabled workflows, and drive measurable outcomes across the delivery lifecycle.

Consumer & Commercial Banking Digital delivers experiences that serve millions of customers across Chase's digital platforms. As a member of this team, you will sit at the intersection of product delivery and emerging technology, helping teams adopt AI-powered practices that improve decision quality, reduce friction, and accelerate time-to-value. You will find an inclusive culture that welcomes diverse ideas and supports your individual growth and career mobility.

Job responsibilities

• Lead agentic AI adoption across product teams by training, coaching, and guiding day-to-day use of AI-enabled workflows in discovery, planning, delivery, and continuous improvement.

• Build and maintain AI-powered tools, automations, dashboards, and reporting solutions that drive efficiency and enable data-driven decision-making across product and technology teams.

• Identify opportunities for agentic AI to remove friction, accelerate learning, improve decision quality, and increase team throughput while maintaining strong governance and risk awareness.

• Work hands-on with teams to prototype, test, and implement new practices, prompts, automations, and operating model patterns.

• Translate technical AI concepts into practical behaviors, playbooks, and learning paths for product, engineering, design, and business partners.

• Partner with senior leadership to shape the future-state product operating model and embed agentic AI capabilities across the organization.

• Establish feedback loops that measure adoption, effectiveness, and transformation outcomes, focusing on capability uplift, workflow improvement, and business impact.

• Lead the enhancement and automation of data reporting processes and dashboards to support real-time decision-making and performance tracking.

• Present data-driven insights and recommendations clearly and persuasively to executive audiences, supporting Product and Technology strategy.

• Promote a culture of experimentation, learning, and continuous improvement by helping teams build confidence, judgment, and discipline in AI-assisted work.

Required qualifications, capabilities, and skills

• 5+ years of experience across product delivery, transformation, technology, or digital operating model change in complex environments.

• Hands-on experience building tools, automations, or solutions using generative AI, copilots, agentic workflows, or related technologies to improve team outcomes and operational efficiency.

• Strong technical acumen, including the ability to work credibly with engineers, understand modern software delivery practices, and apply AI tools in practical team settings.

• Deep understanding of the product development lifecycle, including strategy, discovery, planning, design, implementation, testing, deployment, and continuous improvement.

• Demonstrated success leading cross-functional teams through meaningful changes in ways of working, with the ability to influence leaders, practitioners, and stakeholders at multiple levels.

• Advanced proficiency in data manipulation, analytics, and visualization tools (Excel, Jira, Confluence, Tableau, or equivalent).

• Strong communication, storytelling, and change leadership skills, with the ability to make emerging concepts concrete and actionable for diverse audiences.

• Ability to teach, coach, and facilitate in a way that builds capability through direct partnership and observable practice.

Preferred qualifications, capabilities, and skills

• Background in software engineering, product engineering, data analytics, or another technical discipline that supports hands-on credibility with delivery teams.

• Experience designing or scaling AI enablement programs, transformation playbooks, communities of practice, or enterprise adoption models.

• Working knowledge of prompt design, workflow orchestration, human-in-the-loop controls, evaluation approaches, and responsible AI guardrails.

• Experience operating in regulated or large-scale enterprise environments where technology change must align with risk, control, compliance, and operational readiness requirements.

• Experience with dashboard creation, business intelligence, and automated reporting pipelines.