Data Product Manager, Vice President - Grow at JPMC Candidate Experience page
New York, New York, United States -
Full Time


Start Date

Immediate

Expiry Date

24 Jan, 26

Salary

0.0

Posted On

26 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Product Management, Data Analytics, AI Concepts, Machine Learning, Communication Skills, Collaboration, Agile Methodologies, Market Research, Product Strategy, User Feedback, SaaS Products, Release Management, Success Metrics, Backlog Management, Defect Management, Data Governance

Industry

Financial Services

Description
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 Data Product Manager, Vice President within Grow, 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. 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 Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition Establish metrics and KPIs to measure the success of data products and continuously optimize them based on user feedback and data analysis. Lead release management and testing lifecycles for feature team/s. Lead the team’s efforts to address defects/production issues and reporting requirements. Participate in and drive Agile routines and best practices. Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in product management or a relevant domain area 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 Strong background in data products, proven track record of successfully launching and managing relevant products. Strong analytical skills with the ability to interpret complex data sets and translate them into actionable insights. Understanding of AI concepts, machine learning models, and relevant tools for building and deploying AI products. Excellent communication and presentation skills, with the ability to articulate complex concepts to diverse audiences. Proven ability to work collaboratively with technical teams 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 Experience working with SaaS (Software as a Service) or Enterprise products. Preferred qualifications, capabilities, and skills Demonstrated prior experience working in a highly matrixed, complex organization Experience working in or with Talent Development organizations. Knowledge of Oracle HCM (Human Capital Management) and Service Now a plus. Knowledge of data governance, consent management and regulatory standards a plus. Understanding of talent planning, employee profile data, skills taxonomy and AI-powered talent solutions a plus.
Responsibilities
As a Data Product Manager, you will develop product strategies and manage the product life cycle from discovery to launch. You will collaborate with cross-functional teams to ensure high-quality product delivery that meets customer needs.
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