Vice President Product Manager - AI/ML Solutions

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead strategy and delivery of a Databricks-based model experimentation platform for scalable, secure, compliant AI/ML. Define product vision and roadmap, drive migrations and vendor selection, embed governance, champion observability and operational resilience, and coordinate cross-functional teams to deliver enterprise-grade ML workflows for banking stakeholders.
Summary Generated by Built In
You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.

As a Product Manager in Data and Analytics, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
 
We are seeking a seasoned Product Manager to lead the strategy and delivery of a Databricks-based Model Experimentation Platform that enables scalable, secure, and compliant AI/ML development across Consumer & Community Banking. This role is critical to enabling scalable, secure, and compliant AI/ML workflows leveraging Databricks as the foundational technology. You will drive cross-functional collaboration, platform migrations, and product innovation to empower data scientists and engineers with best-in-class tools for feature engineering, model experimentation, and lifecycle management.

 
Job responsibilities
  • Develops a product strategy and product vision that delivers value to customers
  • Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
  • Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
  • Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
  • Drives the migration and integration of Databricks-based solutions, identifying dependencies, mitigating risks, and coordinating with cross-functional teams to ensure seamless execution.
  • Collaborates with data science, engineering, architecture, and compliance teams to embed governance controls into product design and operations.
  • Champions observability, monitoring, and operational resilience for AI/ML model experimentation workflows to ensure platform stability and reliability.
  • Engages with internal customers and stakeholders to gather feedback, understand evolving needs, and translate them into actionable product enhancements.
  • Leads vendor evaluation and selection processes related to model experimentation, ensuring alignment with strategic and compliance requirements.
  • Communicates product vision, progress, and challenges transparently to senior leadership and critical partners, driving consensus and resource prioritization.
  • Fosters a culture of innovation, continuous improvement, and collaboration across product, engineering, and architecture teams.
Required qualifications, capabilities, and skills
  • 5+ years of experience or equivalent expertise in product management or a relevant domain area
  • 3+ years leading product strategy and delivery for a large-scale Databricks-based AI/ML platform (e.g., model experimentation, MLflow, feature engineering, governance, and platform operations).

  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Deep expertise in AI/ML platform capabilities, specifically feature stores, model experimentation, and lifecycle management.
  • Strong hands-on knowledge of Databricks and its ecosystem, including experience with platform migrations and integrations.
  • Proven track record of delivering enterprise-grade AI/ML solutions in highly regulated environments.
  • Demonstrated ability to lead cross-functional teams in matrixed organizations, managing dependencies and mitigating risks effectively.
  • Excellent communication skills with the ability to influence senior leadership and diverse stakeholders.
  • Strong strategic thinking and customer-centric mindset, with a focus on scalability, security, and operational excellence.
  • Experience with observability, monitoring, and governance frameworks for AI/ML workloads.

     

Preferred qualifications, capabilities, and skills
  • Demonstrated prior experience working in a highly matrixed, complex organization
  • Prior experience in financial services or similarly regulated industries.
  • Knowledge of compliance frameworks related to AI/ML and data security.
  • Strong understanding of market trends and emerging technologies in AI/ML infrastructure.

 
About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

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.

Equal Opportunity Employer/Disability/Veterans

About the TeamOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Skills Required

  • 5+ years of experience in product management or a relevant domain
  • 3+ years leading product strategy and delivery for a large-scale Databricks-based AI/ML platform (model experimentation, MLflow, feature engineering, governance, platform operations)
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Proven ability to lead product lifecycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Deep expertise in AI/ML platform capabilities (feature stores, model experimentation, lifecycle management)
  • Strong hands-on knowledge of Databricks and its ecosystem, including platform migrations and integrations
  • Proven track record of delivering enterprise-grade AI/ML solutions in highly regulated environments
  • Demonstrated ability to lead cross-functional teams in matrixed organizations, managing dependencies and mitigating risks
  • Excellent communication skills and ability to influence senior leadership and diverse stakeholders
  • Strong strategic thinking and customer-centric mindset with focus on scalability, security, and operational excellence
  • Experience with observability, monitoring, and governance frameworks for AI/ML workloads
  • Demonstrated prior experience working in a highly matrixed, complex organization
  • Prior experience in financial services or similarly regulated industries
  • Knowledge of compliance frameworks related to AI/ML and data security
  • Strong understanding of market trends and emerging technologies in AI/ML infrastructure

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
  • Retirement Support A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
  • Leave & Time Off Breadth Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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