招聘

Product Delivery Manager, Data and Analytics
New York, NY, United States, US
·
On-site
·
Full-time
·
2w ago
Shape the future of product delivery while crafting solutions that enhance and optimize customer experiences. Lead end-to-end processes, manage dependencies, and liaise with stakeholders as part of a team at the forefront of innovation.
As a Product Delivery Manager in Partner Data Platform, you work to enhance and optimize the way products are delivered to customers. As a key member of the team, you create solutions and efficiencies that enable successful implementations in an expedient and organized way.
Job responsibilities
- Leads end-to-end product delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while escalating opportunities to improve efficiencies and functional coordination
- Leads the completion of change management activities across functional partners and ensures adherence to the firm’s risk, controls, compliance, and regulatory requirements
- Effectively manages timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partners
- Oversee the establishment of a secure Partner Data Platform for in-place data consumption
- Lead strategy and implementation for third-party partner authentication and authorization integration with data systems
- Coordinate and participate in testing cycles to ensure data platform reliability and compliance
- Drive adoption of the Iceberg open table format
- Oversee access control integration across platforms using AWS Lake Formation and Snowflake
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in product delivery or a relevant domain area
- Demonstrated ability to execute operational management and change readiness activities
- Strong understanding of delivery and a proven track record of implementing continuous improvement processes
- Experience in product or platform-wide release management, in addition to deployment processes and strategies
- Hands-on experience with Snowflake, AWS, Lake Formation, and access management
- Strong understanding of data governance, compliance, security, tokenization, and data anonymity principles
- Proven ability to create and deliver impactful presentations and decks
- Exceptional communication, stakeholder management, and leadership skills; prepare and deliver clear, compelling presentations and decks for stakeholders and leadership
- Experience supporting analytics and reporting use cases
- Previous experience with privacy preferences migration, customer data mapping, integration, and bulk loads
- Champion tokenization and data anonymity practices to protect sensitive information
Preferred qualifications, capabilities, and skills
- Proficient knowledge of the product development life cycle, design, and data analytics
- Exposure to data labeling, tokenization, and policy enforcement
- Experience in financial services or regulated industries is a plus
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, Business, or related field
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
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Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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