Data Owner-Vice President

Location: Chicago, IL, United States

Job Family: Analytics Solutions & Delivery

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge machine learning to transform how we serve millions of customers worldwide. As a Data Owner-Vice President in our Analytics Solutions & Delivery team, you will play a pivotal role in shaping the data strategy for our innovative ML products. Based in our Chicago office, you will lead efforts to ensure high-quality data underpins business growth initiatives, from personalized wealth management solutions to advanced risk modeling in investment banking. This position demands a strategic thinker who can navigate the complexities of financial data while driving enhancements to customer experiences that set us apart in a competitive landscape. Your core responsibilities will include owning the end-to-end data lifecycle for ML applications, from defining governance frameworks to enforcing quality standards that comply with stringent regulations like those from the SEC and Federal Reserve. You will collaborate closely with data scientists, product managers, and compliance experts to align data assets with business objectives, such as optimizing trading algorithms or fraud prevention systems. By championing data lineage and metadata management, you will enable scalable, reliable ML models that power JP Morgan Chase's digital transformation, ultimately contributing to revenue growth and operational excellence in our global operations. We seek a leader with deep expertise in financial services data challenges, who thrives in a fast-paced environment and is passionate about using data to deliver real-world impact. This role offers the opportunity to influence high-visibility projects at one of the world's leading financial institutions, with exposure to diverse teams across asset management, corporate banking, and consumer services. Join us in Chicago to help build the future of finance, where your expertise in data ownership will directly enhance customer trust and drive sustainable innovation.

Key Responsibilities

• Develop and execute data strategy for machine learning products to support business growth and superior customer experiences in JP Morgan Chase's retail and investment banking divisions
• Oversee data quality initiatives, ensuring accuracy, completeness, and timeliness of datasets used in AI models for fraud detection, personalized banking, and risk assessment
• Collaborate with data engineering and ML teams to define data ownership models, metadata standards, and governance policies aligned with firm-wide standards
• Lead the identification and mitigation of data risks, including compliance with financial regulations and internal audit requirements
• Drive the adoption of innovative data tools and technologies to enhance analytics capabilities for trading, lending, and wealth management products
• Partner with business stakeholders to translate customer needs into data requirements that power scalable ML solutions
• Monitor and report on data performance metrics, recommending improvements to optimize model accuracy and operational efficiency
• Foster a culture of data accountability across teams, providing training and guidance on best practices in financial data handling
• Contribute to strategic initiatives like digital transformation projects at JP Morgan Chase, focusing on data-driven decision-making
• Ensure seamless integration of data assets across global teams in Chicago and other hubs, supporting 24/7 operations

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Finance, or a related field; advanced degree preferred
• 8+ years of experience in data management, governance, or analytics within the financial services industry
• Proven track record in leading data strategy for machine learning or AI-driven products
• Strong understanding of regulatory requirements such as GDPR, CCPA, and financial data standards (e.g., Basel III, Dodd-Frank)
• Experience in data quality assurance and metadata management in large-scale enterprise environments
• Demonstrated ability to collaborate with cross-functional teams including engineering, product, and compliance
• Expertise in data lineage tools and frameworks used in banking and capital markets

Preferred Qualifications

• Master's or PhD in Data Science, Statistics, or a quantitative field
• Prior experience at a major financial institution like JP Morgan Chase or similar
• Certification in data governance (e.g., CDMP) or machine learning (e.g., AWS ML Specialty)
• Knowledge of JP Morgan's internal data platforms and tools
• Experience with agile methodologies in delivering data solutions for customer-facing products

Required Skills

• Data governance and stewardship
• Machine learning and AI fundamentals
• SQL and Python for data querying and analysis
• Data quality tools (e.g., Collibra, Informatica)
• Regulatory compliance in finance
• Stakeholder management and communication
• Agile project management
• Metadata and data lineage expertise
• Risk assessment and mitigation
• Cloud platforms (e.g., AWS, Azure) for data storage
• Statistical analysis and modeling
• Cross-functional team leadership
• Problem-solving in high-stakes environments
• Financial domain knowledge (e.g., banking products, risk management)
• Attention to detail and analytical thinking

Benefits

• Competitive base salary and performance-based annual bonus
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company match
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers, wellness programs, and mental health support
• Flexible work arrangements including hybrid options in Chicago

JP Morgan Chase is an equal opportunity employer.