Vice President - Data Owner Lead (Data & Analytics)

• *JOB DESCRIPTION**

As Data Owner Lead, you will drive impactful data strategies and fostering 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. In addition to strong governance execution, this role emphasizes hands\-on data product delivery, bringing data together from multiple sources, shaping it into high\-quality, reusable data products, and enabling broad consumer populations and advanced analytical solutions.

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. You will also partner with Technology and Analytics to define and maintain data products, including curation, semantic consistency, documentation, and lifecycle management. 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. You will partner with information architecture and data platform teams to ensure data products are scalable, discoverable, and fit for enterprise use.

Job Responsibilities

• Lead data project execution, mitigating risks and inefficiencies.
• Develop relationships with data providers and consumers across multiple functions. Engage broad\-based consumer populations (operations, reporting, analytics, data science) to understand usage patterns and improve usability of curated datasets and data products.
• Collaborate with partners to document and classify critical data with metadata. Ensure metadata is actionable and supports discovery and reuse (business definitions, technical metadata, lineage, quality rules/thresholds, and product documentation).
• Provide subject matter expertise on data content and usage within the business and associated product areas.
• Document requirements for data sourcing, content, and quality. Define requirements for integrating multiple upstream sources (including mapping, transformation logic, and reconciliation) and for building curated datasets that support analytics and reporting use cases.
• Develop processes to identify and mitigate data risks throughout the data lifecycle, including data protection, privacy, retention, destruction, storage, use, and quality. Ensure controls are operationalized within pipelines and data products (e.g., automated quality checks, monitoring/alerting, and auditable evidence).
• Support data analytics by governing data integration into analytics platforms, including designing fit\-for\-purpose curated datasets and feature\-ready data products for advanced analytics/ML use cases.
• Communicate and resolve data issues, maintaining data integrity; Support data issue triage and root\-cause analysis with business and technology partners; drive remediation and preventative controls to reduce recurrence.

Required Qualifications, Capabilities, and Skills

• 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 closely on delivery of data products or curated datasets that integrate multiple sources for enterprise consumption.
• Strong leadership skills with a proven track record with the ability to drive and communicate strategic change, lead cross\-functional teams, and manage delivery timelines.
• In\-depth understanding of data management principles and governance frameworks. Working knowledge of the data development lifecycle and familiarity with the operating model for data products (build, release, run, change).
• Excellent analytical and problem\-solving skills.
• Strong communication skills for technical and non\-technical stakeholders.
• Proven ability to build relationships with key stakeholders and manage large\-scale data projects; Ability to translate consumer needs into clear data requirements, acceptance criteria, and measurable outcomes (quality, usability, adoption).

Preferred Qualifications, Capabilities, and Skills

• Experience with cloud\-based data platforms such as AWS, Azure, or Google Cloud. Experience with data lake/lakehouse concepts and information architecture practices.
• Familiarity with advanced analytics, machine learning, or AI applications; Hands\-on experience leveraging LLMs for productivity and governance automation (prompt engineering patterns, agent/tooling concepts, evaluation/monitoring of outputs).
• Knowledge of query or analytical programming languages. (e.g., SQL; Oracle a plus) and comfort partnering with engineering on ingestion/transformation patterns.
• Experience in leading digital transformation initiatives leveraging data.
• Experience in data product management; Experience establishing operating processes for data products (documentation standards, quality SLAs/SLOs, monitoring/alerting, and lifecycle/deprecation).

• *ABOUT US**

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

• *ABOUT THE TEAM**

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.