AI Product Transformation, Director-Infrastructure Platforms
Software Engineering, Other Engineering, Product, Data Science
Jersey City, NJ, USA
Job responsibilities
- Lead the enterprise-wide strategy for adopting artificial intelligence across product management practices within Infrastructure Platforms
- Drive the transition to AI- and agent-first product management ways of working, embedding AI into product strategy, prioritization, planning, execution, and value realization
- Establish and scale frameworks, tools, and operating models that enable consistent AI adoption across product teams
- Partner with product, engineering, and senior stakeholders to identify high-impact use cases and implement practical AI-enabled solutions
- Modernize product management workflows to improve speed, precision, efficiency, and measurable business outcomes
- Enable product teams to translate AI capabilities into repeatable practices that improve decision-making, prioritization, and delivery effectiveness
- Lead organizational transformation efforts, including change management, stakeholder engagement, and adoption strategies to embed new ways of working
- Define success metrics and monitor adoption, effectiveness, and business impact of AI-driven product management capabilities
- Identify opportunities to optimize product operations through scalable automation, intelligent insights, and improved workflow design
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Foster a culture of innovation, experimentation, and continuous improvement across product management teams and serve as a strategic advisor to leadership on the future of AI-enabled product management and operating model evolution
Required qualifications, capabilities, and skills
- 8+ years of experience in product management, product operations, transformation, or strategy roles
- Demonstrated experience leading large-scale organizational transformation or operating model change initiatives
- Strong understanding of product management practices, including strategy, prioritization, planning, execution, and value realization
- Proven experience applying artificial intelligence, automation, or intelligent workflow capabilities to business or product management processes
- Ability to translate emerging AI capabilities into practical, scalable solutions for product teams
- Strong stakeholder management and influencing skills, with experience partnering across product, engineering, and senior leadership teams
- Experience building frameworks, tools, or repeatable processes that drive consistency and adoption across large organizations
- Strong analytical skills with the ability to define metrics, assess outcomes, and drive data-informed decision-making
- Excellent communication, facilitation, and storytelling skills with the ability to engage technical and non-technical audiences
- Proven ability to lead through ambiguity and drive measurable business outcomes in complex environments
Preferred qualifications, capabilities, and skills
- Experience in financial services or other large, highly regulated enterprise environments
- Background in infrastructure platforms, enterprise technology, or large-scale product organizations
- Familiarity with AI-enabled product operations, workflow automation, or agent-based tooling
- Experience partnering with engineering teams to operationalize AI solutions in product workflows
- Advanced degree in business, technology, data science, or a related field
- Recognized thought leadership in product transformation, AI strategy, or organizational change
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you’ll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You’ll work in a stable, resilient and secure operating environment where you—and the products you deliver—will thrive.
High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.
Lead AI-driven product management transformation to modernize workflows, scale adoption, and accelerate business outcomes.