Vice President-Data Management Strategy Lead

Location: New York, NY, United States

Job Family: Strategy

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging our global scale to deliver cutting-edge solutions for clients worldwide. As the Vice President - Data Management Strategy Lead, you will play a pivotal role in shaping the firm's data future. Reporting to the Head of Data Strategy, you will define and articulate a comprehensive data strategy that transforms JP Morgan's extensive data assets into AI-ready resources, unlocking unprecedented value in areas like personalized banking, predictive analytics, and operational efficiency. This role is based in our dynamic New York office, where you'll collaborate with top-tier teams across investment banking, commercial banking, and technology to drive the firm's digital transformation agenda. Your core focus will be on creating a roadmap that ensures data is not just accessible but optimized for advanced AI applications, addressing challenges unique to the financial services industry such as real-time transaction processing, regulatory reporting, and cybersecurity. You will lead initiatives to standardize data governance, enhance data quality, and integrate emerging technologies like generative AI, all while navigating complex compliance landscapes. By partnering with business leaders and data scientists, you'll identify high-impact use cases—such as AI-driven fraud detection or market forecasting—that position JP Morgan Chase as a leader in responsible AI adoption within finance. This position demands a strategic visionary with a passion for data's potential to revolutionize banking. You will mentor teams, influence executive decisions, and contribute to thought leadership on data ethics and sustainability. Join JP Morgan Chase to be part of a culture that values innovation, diversity, and impact, where your expertise will help us build a more intelligent, resilient financial ecosystem for the future.

Key Responsibilities

• Define and articulate a comprehensive data strategy for JP Morgan Chase, focusing on making data AI-ready to unlock business value across lines of business
• Collaborate with senior executives to align data initiatives with firm-wide strategic goals in investment banking, consumer banking, and asset management
• Lead the development of data governance frameworks to ensure compliance with financial regulations and enhance data quality for AI applications
• Identify opportunities to leverage AI and machine learning on JP Morgan's vast datasets to drive innovation in risk management, fraud detection, and customer insights
• Oversee the roadmap for data infrastructure modernization, including integration of structured and unstructured data sources
• Partner with technology teams to implement scalable data pipelines and analytics tools tailored to the financial services environment
• Conduct assessments of current data assets and recommend strategies to mitigate risks and maximize ROI on data investments
• Foster a data-driven culture by providing thought leadership and training on AI-ready data practices within JP Morgan Chase
• Monitor industry trends in fintech and AI to evolve the data strategy, ensuring JP Morgan remains a leader in digital transformation

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Business Administration, or a related field; Master's degree preferred
• 8+ years of experience in data strategy, data management, or analytics roles within the financial services industry
• Proven track record of developing and implementing data strategies that drive business value and AI adoption
• Deep understanding of regulatory requirements in financial services, including data privacy laws like GDPR and CCPA
• Experience leading cross-functional teams in large-scale organizations, with a focus on data governance and AI integration
• Strong analytical skills with proficiency in data modeling, AI/ML frameworks, and enterprise data platforms

Preferred Qualifications

• Advanced degree (MBA or PhD) in a quantitative field
• Prior experience at a major financial institution like JP Morgan Chase or similar
• Certification in data management (e.g., CDMP) or AI ethics
• Hands-on experience with cloud-based data solutions (e.g., AWS, Azure) in a banking context

Required Skills

• Data strategy and governance
• AI and machine learning integration
• Financial services domain knowledge
• Regulatory compliance (e.g., Basel III, Dodd-Frank)
• Data modeling and architecture
• Cloud computing (AWS, GCP, Azure)
• Python or R programming for data analysis
• SQL and big data tools (Hadoop, Spark)
• Leadership and stakeholder management
• Strategic thinking and problem-solving
• Communication and presentation skills
• Project management methodologies (Agile, Waterfall)
• Risk assessment in data environments
• Business acumen in banking and fintech
• Ethical AI principles and bias mitigation

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, including tuition reimbursement and leadership training programs
• Wellness programs with gym memberships and mental health support
• Employee stock purchase plan and financial planning services
• Flexible work arrangements, including hybrid options in New York

JP Morgan Chase is an equal opportunity employer.