招聘

Product Delivery Manager, Data and Analytics
New York, NY, United States, US
·
On-site
·
Full-time
·
2mo ago
必备技能
AWS
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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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
员工数
New York City
总部位置
$500B
企业估值
评价
3.8
10条评价
工作生活平衡
3.2
薪酬
4.1
企业文化
3.8
职业发展
3.0
管理层
2.5
65%
推荐给朋友
优点
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
薪资范围
41个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1份报告
$139,000
年薪总额
基本工资
$107,000
股票
-
奖金
-
$139,000
$139,000
面试经验
5次面试
难度
3.0
/ 5
时长
14-28周
录用率
40%
体验
正面 20%
中性 80%
负面 0%
面试流程
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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