Data Profiling, Data Scientist - Vice President

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase Asset and Wealth Management (AWM) is responsible for accelerating AWM’s data and analytics journey. This includes ensuring the quality, integrity, and security of AWM's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the efficient deployment of artificial intelligence and machine learning technologies to increase speed to market for new products and services, increase efficiency, and lower risk.

AWM’s CDAO office is responsible for maximizing the value and impact of our data, responsibly. We collaborate with business, technology, operations, control, and other key stakeholders to achieve our goals. Our teams cover all aspects of the data lifecycle, ensuring governance standards are met while making data easy to discover and consume.

Job Responsibilities

We are seeking a highly skilled and execution-focused data scientist to join the Data Profiling and Ad Hoc Data Science team. This role is critical in driving and supporting initiatives that address complex data challenges and deliver actionable insights. The ideal candidate will have a strong technical background, deep subject matter expertise, and the ability to leverage modern data environments and tools to perform advanced analysis.

Key Responsibilities

• Support and lead initiatives including data quality issue root cause analysis, data product prototype development, regulatory inquiries, management requests, data lineage analysis, and other ad hoc projects.
• Perform deep data profiling and analysis using modern data science tools and environments (e.g., Python, R, SQL, Spark, cloud platforms).
• Develop and deliver data product prototypes and analytic solutions that address business needs and drive strategic decision-making.
• Collaborate with business, technology, and control partners to understand requirements, deliver insights, and support regulatory and management requests.
• Ensure analytic approaches are robust, scalable, and aligned with data governance and compliance standards.
• Communicate findings, recommendations, and prototypes effectively to technical and non-technical stakeholders.
• Continuously innovate and advance the data science agenda across AWM.

Required qualifications, capabilities, and skills

• 7+ years of experience in data science, analytics, or related fields within financial services.
• Deep subject matter expertise in wealth and asset management, customer, account, and/or related data domains.
• Proven ability to execute in a matrixed and complex environment with the ability to influence people at all levels of the organization.
• Experience in strategic or transformational change initiatives.
• Ability to work in a highly collaborative and intellectually challenging environment.
• Excellent communication skills with the ability to convey complex technical concepts to diverse audiences.
• Willingness and ability to challenge the status quo, think creatively, and problem-solve.

Preferred qualifications, capabilities, and skills

• Strong technical skills in data science, analytics, and data management, including proficiency in Python, R, SQL, Spark, and cloud data platforms.
• Experience with data visualization tools (e.g., Tableau, Power BI) and data lineage analysis.
• Ability to multi-task in a fast-paced environment and operate independently.
• Strong judgment with the ability to balance strategic vision with pragmatic delivery.
• Experience building and growing data science capabilities and developing talent.
• Excellent interpersonal skills and ability to build strong working relationships with key stakeholders.