Data Owner Lead - Vice President

Job Description

If you love turning messy, complex data into something teams can use, this role is for you. JPMorgan Wealth Management needs passionate Data Owners to deliver data strategies that bring the power of our data to life. You will sit at the intersection of Product, Technology, Analytics, and Risk & Controls to deliver data that unlocks business outcomes—without losing discipline on quality and protection.

As a VP Data Owner on the US Wealth Management Data & Analytics team, you will be responsible for end-to-end enablement, publishing, and governance for all data created and used by a single product. You set the rules of the road for product data—definitions, metadata, quality expectations, and controls—so it can reliably power analytics, AI/ML decisioning, and customer experiences. This role requires a unique blend of technical depth in data architecture and platforms combined with business acumen to drive clarity across providers and consumers, manage risk across the data lifecycle, and keep delivery moving through strong partnership and measurable outcomes.

Job Responsibilities

• Own the product's data agenda across creation, ingestion, publishing, and consumption by humans and AI models
• Champion product data strategy in product forums and cross-functional working groups
• Establish data quality requirements and monitoring for accuracy, completeness, timeliness, and lineage
• Prioritize the delivery of data pipelines and products across multiple workstreams, ensuring dependencies and priorities are executed through Agile frameworks
• Document business definitions, metadata, and classification so critical data is discoverable and understood
• Maintain data governance standards, classification frameworks, and compliance controls for sensitive client and financial data
• Manage data risks related to protection, retention/destruction, storage, and permitted use across the lifecycle
• Investigate data issues, drive root cause analysis, and deliver remediation plans with clear ownership
• Measure and communicate progress through KPIs and metrics that demonstrate data quality improvements and business value realization
• Influence decisions at all levels of the organization with crisp communication, strong judgment, and a bias for execution
  
  

Required Qualifications, Capabilities And Skills

• Bring 10+ years of experience in data delivery, analytics enablement, or data management
• Demonstrate strong working knowledge of data management, data governance, big data platforms, and data architecture principles including dimensional modeling
• Possess hands-on proficiency with SQL for data analysis, transformation, and quality validation across relational and big data platforms
• Exhibit proven ability to prioritize effectively ambiguity in fast-paced environments with competing stakeholder demands
• Communicate complex technical concepts clearly to both technical and non-technical audiences through documentation and presentations
• Think analytically and systematically, breaking down complex problems into structured approaches with measurable outcomes
• Understand Agile frameworks, participating actively in sprint planning, standups, and retrospectives with development teams
• Collaborate effectively across organizational boundaries, building trusted relationships with diverse stakeholders and technical teams
• Hold a Bachelor degree or equivalent experience
  
  

Preferred Qualifications, Capabilities And Skills

• Bring experience from data science, analytics, or data engineering functions within financial services institutions or management consulting firms
• Understand modern data architecture patterns including data mesh, data fabric, and domain-driven design principles
• Demonstrate familiarity with field-based sales environments and CRM platforms such as Salesforce, particularly in wealth management or financial advisory contexts
• Apply data governance frameworks, data ethics, and responsible AI considerations in regulated environments
• Ability to profile, wrangle, and prepare data using advanced ETL tools and languages such as Python and SQL
• Embrace a growth mindset and lifelong learning approach, staying current with emerging data technologies and industry best practices
  
  

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 Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.