Product Manager, Vice President - AI

JPMorgan Chase & Co.•Jersey City, NJ

About The Position

As a Product Manager, Vice President - Skills within the Talent Acquisition and Onboarding team, you will work as an individual contributor to help shape the foundational skill data products that drive high impact change and transformation across the enterprise. You will partner closely with engineering, data science, product, design, legal, and line of businesses to define and align key objectives, goals, and strategies to deliver innovative products that drive value for customers. You will drive prioritization, develop roadmaps, and manage a robust backlog using your expertise of product and development lifecycle. You will leverage your deep understanding of data products, systems, and technologies to lead and contribute to collaboration with tech teams on the design and development of skill data products and its seamless integration into various applications throughout the enterprise. Your strong analytical reasoning and adaptability will enable you to navigate ambiguity and change. You will direct clarity and execution across large, ambiguous problem spaces. This is an opportunity to drive transformation on a large scale and make a meaningful impact across one of the largest financial institutions in the world.

Requirements

5+ years of experience or equivalent expertise in product management, data products, advanced analytics, or a relevant domain area
Advanced knowledge of the product development life cycle, design, and data analytics
Strong analytical skills, comfortable with big data, and experience with data-driven decision-making
Excellent communication and interpersonal skills, with the ability to influence and collaborate with cross-functional teams and leaders
Experience with agile development methodologies and tools (e.g. Jira)
Passion for understanding customer needs and delivering exceptional user experiences, best-in-class data products, systems, platforms, and tools
Experience leading the product development of AI technologies (ML, LLMs, Agentic AI, etc.) and algorithm optimization
Strong understanding of building data infrastructures and data pipelines, especially to power the scalability of AI
Knowledge of APIs, Kafka, batch, data stream, etc. to design and implement seamless integrations with third-party platforms, services, and various applications
Experience overseeing data movement and integration processes, ensuring data integrity, security, and compliance
Demonstrated prior experience working in a highly matrixed, complex organization and adapt to changing priorities and manage multiple goals simultaneously

Nice To Haves

Experience in a vendor based environment and AI features (e.g. Oracle)
Experience with enterprise cloud platforms and technologies (e.g. AWS, Databricks, etc.)
Customer-facing products (B2C) experience preferred
MBA or advanced degree preferred
Ability to stay current with advancements in AI technologies and industry best practices

Responsibilities

Define product strategy, product vision, and build roadmaps that delivers value
Lead discovery efforts and apply industry and market research to shape product ideas and opportunities into initiatives that brings solutions to life
Define product success measures by setting key performance indicators (KPIs), objectives and key results (OKRs), and outcomes
Use data and customer feedback to perform analyses that inform product decisions, size opportunity, impact, and reach, and drive continuous improvement
Identify data needs for analyses and measurements, and collaborate with analytics and data capture teams to implement tracking and/or build data pipelines, and datasets, etc. where necessary
Write PRDs, product specs, requirements, and collaborate with tech teams to set milestones, breakdown steps, and write Jira epics and stories
Own and manage a product backlog that enables development to support the overall strategic roadmap and value proposition
Communicates product vision, strategy, and progress to stakeholders at all levels of the organization
Collaborates with cross-functional teams and define requirements for the development and execution of AI-driven data products, ensuring alignment with business goals and market needs