Real job — pulled straight from JPMorgan Chase’s careers page · Verified September 10, 2026 · No reposts.
Job description
JPMorgan Chase is hiring a Data Management Lead — a full-time, based in Newark, DE role. Apply directly on JPMorgan Chase's careers page below.
CCOR Data Management Lead
Location: Newark, DE, United States
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class..
As a Vice President within the Data Strategy Team, you are part of the CCOR data management organization. You will play a pivotal role in executing data strategies that drive business operations and strategic objectives. Data Product Managers serve as subject matter experts, coordinating between providers and consumers to design fit for purpose, well governed data products to solve business needs. By leading efforts to mitigate data risks and enhance data quality, you will ensure data serves as a trusted asset for decision-making and innovation. Your leadership will foster a data-driven culture that supports organizational growth and competitive advantage. You will be working closely with CCOR Business leaders, CCOR ML, Analytics & Dashboarding teams, CCOR CDO and CCOR technology partners to determine appropriate strategies to manage and leverage CCOR data to drive innovation. Also oversee delivery of a central data platform which is critical part of CCOR data strategy to enable the innovation agenda using AI/ML, advanced analytics & automation.
Job Responsibilities
- Implement strategic plans to deliver data solutions that effectively support business operations and strategic objectives, to align with organizational goals
- Provide Data product ownership for one or more CCOR data product lines for implementation of CCOR Data Lake, including functional requirements capture, Product design, test planning and oversight, prioritization of work, and working with technology partners throughout development to ensure clear understanding of requirements and quality of delivery.
- Manage the execution of projects and related milestones, understand and mitigate risks, bottlenecks, and inefficiencies throughout the project / initiative
- Collaborate with key partners to ensure that critical data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control
- Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle, addressing issues related to data protection, retention, storage, use, and quality
- Partner with CDO & technology teams to design & develop tools & processes for effective data management
- Develop prototypes for data visualization, data analytics & automation in partnership with other CCOR Digital teams & product owners
- Communicate and resolve data issues in a timely and consistent manner, maintaining data integrity and consumer trust
- Manage and guide direct or matrixed staff in executing data-related tasks and initiatives
Required qualifications, capabilities, and skills
- Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field, OR equivalent professional experience in data management, data governance, or a related field
- Minimum 5 years of experience in data management, data governance, risk management/analytics, or a related field
- Proven leadership track record, demonstrated ability to manage delivery timelines, and ensure the organization is on track to meet goals
- In-depth understanding of data management principles, governance frameworks, and lifecycle management, including data protection, data quality and data classification
- Excellent analytical and problem-solving skills, translating complex data concepts into business strategies
- Strong communication skills, effectively conveying data concepts to technical and non-technical stakeholders, as well as senior audiences
- Strong leadership skills with experience in managing and mentoring cross-functional teams
- Proven ability to build and maintain relationships with key stakeholders and manage large-scale data projects
- Experience working on large scale data lake / data-warehousing projects
- Knowledge of data modeling techniques is a must have.
- Hands on SQL writing knowledge is required, along with experience to write Python & Pyspark code is required.
Preferred qualifications, capabilities, and skills
- Experience with Tableau, QlikView, Thoughtspot or other reporting and analytics tools is a strong plus
- Experience with AI/ML techniques is plus.
- Experience with cloud-based data platforms and technologies, such as Databricks, Snowflake, AWS, Azure, or Google Cloud is a strong plus
About Us
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Organization
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Join our team as a Data Product Manager for Compliance Conduct Operational Risk and enable data driven innovation.Get Data Management Lead jobs like this→
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Frequently asked questions
What skills are required for Data Management Lead at JPMorgan Chase?
The required skills for Data Management Lead at JPMorgan Chase include: SQL, Python, Spark, Data Warehousing, Tableau, Qlik, AI, Machine Learning, Databricks, Snowflake, AWS, Azure, GCP.
What is the seniority level for Data Management Lead at JPMorgan Chase?
Data Management Lead at JPMorgan Chase is a Manager level position.
How do I apply for Data Management Lead at JPMorgan Chase?
You can view the full description and apply for Data Management Lead at JPMorgan Chase on EchoJobs: https://echojobs.io/job/jpmorgan-chase-ccor-data-management-lead-1qu5i.