Data Owner Lead, Data Management Operations, Vice President

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $187k

$133k $235k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $158,743–$214,900.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Data Owner Lead, Data Management Operations, Vice President

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JOB TITLE: Data Owner Lead - Data Management Operations - Vice President The Data Owner Lead - Data Management Operations - Vice President joins the Chief Data & Analytics Office to drive data strategies and foster a data-driven culture. This role focuses on hands-on data product delivery, where the individual will integrate multiple sources into high-quality, reusable data products for broad consumer populations and advanced analytical solutions. Key responsibilities include managing project execution, documenting metadata, and defining requirements for data sourcing, transformation logic, and reconciliation. The role requires expertise in data management principles, governance frameworks, and the data development lifecycle. Candidates must utilize skills in data quality, risk mitigation, and information architecture. Notable technical requirements include experience with AI, machine learning, LLM tooling, prompt engineering, SQL, and cloud-based platforms like AWS, Azure, or Google Cloud.

Skills

Data Governance Data Management AI Machine Learning LLM SQL Data Product Management Data Quality data, lineage AWS Azure Google Cloud Data Lake Prompt Engineering Oracle

What you'll do

Implement strategic plans to deliver data solutions and products that support business operations and strategic objectives.
Manage project execution while mitigating risks and operational inefficiencies.
Document and classify critical data with actionable metadata to support discovery and reuse.
Define requirements for integrating multiple upstream sources, including mapping, transformation logic, and reconciliation.
Develop processes to identify and mitigate data risks throughout the lifecycle, including privacy, retention, and quality.
Govern data integration into analytics platforms to design curated datasets for advanced analytics and ML use cases.
Resolve data issues through triage, root-cause analysis, and the implementation of preventative controls.
Leverage AI/ML and LLM tooling to automate governance activities like metadata drafting and control evidence generation.

What we're looking for

Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics, or equivalent professional experience.
Five years of experience in data management, data governance, or risk management/analytics.
Demonstrated experience delivering or partnering on the delivery of data products or curated datasets that integrate multiple sources.
Proven leadership track record with the ability to manage delivery timelines and cross-functional teams.
In-depth understanding of data management principles, governance frameworks, and the data development lifecycle.
Excellent analytical, problem-solving, and communication skills for technical and non-technical stakeholders.
Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud (preferred).
Familiarity with advanced analytics, machine learning, or AI applications, including hands-on experience leveraging LLMs (preferred).

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