
Global financial services firm
Data Owner Lead - Data Management Operations - Vice President
必备技能
AWS
Azure
Machine Learning
Join the Chief Administrative Office – Chief Data & Analytics Office and help shape the future of data management at JPMorgan Chase. As a Data Owner Lead, you will drive impactful data strategies and foster a data-driven culture. This role offers opportunities for career growth, skill development, and collaboration with industry-leading experts. Be part of a team that leverages AI and machine learning to support the firm’s commercial goals.
As a Data Owner Lead within the Chief Data & Analytics Office, you will execute data strategies that align with business operations and strategic objectives. You will collaborate with cross-functional teams to ensure data is understood, fit for purpose, and well-governed. In this role, you will help drive organizational growth and competitive advantage by supporting a culture of data-driven decision-making.
You will work closely with partners across Business, Technology, Analytics, Operations, and Risk and Control functions. Your leadership will ensure data quality, integrity, and security, while supporting innovation and compliance with data governance standards.
Job Responsibilities:
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Implement strategic plans to deliver data solutions and data products that support business operations and strategic objectives.
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Manage project execution, mitigating risks and inefficiencies.
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Collaborate with partners to document and classify critical data with metadata.
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Provide subject matter expertise on data content and usage within the business and associated product areas.
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Develop relationships with data providers and consumers across multiple functions.
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Document requirements for data sourcing, content, and quality.
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Develop processes to identify and mitigate data risks throughout the data lifecycle, including data protection, privacy, retention, destruction, storage, use, and quality.
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Support data analytics by governing data integration into analytics platforms.
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Communicate and resolve data issues, maintaining data integrity.
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Manage and guide staff in executing data-related tasks and initiatives.
Required Qualifications, Capabilities, and Skills
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Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics, or equivalent professional experience.
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Five years of experience in data management, data governance, or risk management/analytics.
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Proven leadership track record with the ability to manage delivery timelines.
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In-depth understanding of data management principles and governance frameworks.
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Excellent analytical and problem-solving skills.
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Strong communication skills for technical and non-technical stakeholders.
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Strong leadership skills with experience in managing cross-functional teams.
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Proven ability to build relationships with key stakeholders and manage large-scale data projects.
Preferred Qualifications, Capabilities, and Skills
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Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.
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Familiarity with advanced analytics, machine learning, or AI applications.
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Knowledge of query or analytical programming languages.
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Experience in leading digital transformation initiatives leveraging data.
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Experience in data product management.
Note: Relocation assistance is not allowed for this role.
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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
10条评价
3.8
10条评价
工作生活平衡
3.5
薪酬
4.0
企业文化
3.8
职业发展
3.2
管理层
2.8
68%
推荐率
优点
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
薪资范围
44个数据点
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2份报告
$188,500
年薪总额
基本工资
$145,000
股票
-
奖金
-
$182,000
$195,000
面试评价
4条评价
难度
3.0
/ 5
时长
14-28周
录用率
50%
体验
正面 25%
中性 75%
负面 0%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
常见问题
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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