JPMorgan Data Strategy Management & Solutions Vice President 

United States, New Jersey, Jersey City 

687701637

As the Data Strategy, Management & Solutions, VP within the Internal Audit Chief Data Office, you will drive the department towards a more data-focused business model by supporting the delivery and implementation of the Internal Audit Data Strategy. You will also support our efforts in fostering a data-driven culture throughout the department, spotlighting that data is a strategic asset that drives our business strategies and delivers value to the firm. This role will provide a comprehensive view of data to all levels of stakeholders across the multiple functions, leveraging their knowledge in data management and understanding of the data lifecycle.

Job Responsibilities

• Executing components of the Data Program to continuously deliver business results and provide ongoing value to our stakeholders
• Supporting the delivery of the Data Strategy roadmap to accelerate the Future of Audit journey
• Owning and executing Data Management processes while continuously seeking opportunities to improve data quality and drive opportunity, innovation and business value throughout the department
• Understanding the structure and integrity of internal data including how it flows throughout the IA lifecycle / system to ensure availability and consumption in an integrated and holistic manner in compliance with IA and firmwide policies & standards as well as applicable regulations
• Supporting strategic initiatives related to data warehousing and data lake implementation including data ingestion, transformation, and consumption methods
• Utilizing business intelligence tools including text analysis, data mining techniques, and statistical analysis to design / enhance analytical models and develop dashboards
• Profiling data in order to identify critical data elements, designing data quality rules and being able to investigate data quality issues, perform root cause analysis and drive resolution
• Identifying use cases and developing requirements for solutions leveraging data quality tools to enhance the accuracy, timeliness and completeness of internal and external data
• Establishing and maintaining strategic relationships with key partners and business leaders to define clear business requirements and processes and collaborating on technical solutions to address data-related problems or needs

Required qualifications, capabilities and skills

• 7+ years of experience in Data Management, Data Analytics, Data Science, Data Engineering, Business Intelligence or a related field
• Proficient in data architecture, data modeling, data warehousing, reference data management, metadata management, data security, data quality or other related data management fields
• Proficient with analytics, business intelligence and reporting packages such as Alteryx, Tableau, Qlik, UI Path or ThoughtSpot
• Proficient with data extraction, data mapping, conversion, analytics, and manipulation techniques / languages (e.g. SQL, R, Python)
• Familiarity with Artificial Intelligence frameworks, tools and platforms including Large Language Models and Machine Learning techniques
• Excellent verbal and written communication and presentation skills with impeccable attention to detail and consistent delivery of professional-grade quality deliverables
• Excellent collaboration skills with the ability to be effective within a cross-functional environment and influence internal and external stakeholders at all levels

Preferred qualifications, capabilities and skills:

• 5+ years of experience in Financial Services, specifically within Controls, Risk Management, Compliance, or Internal Audit
• Bachelor’s degree in Business, Finance, Computer Science, Information Systems, Engineering, Data Science or a related field and/or Master’s degree in Business Administration or Science
• Experience implementing and/or utilizing custom developed or third-party Data Management tools such as Informatica, etc.
• Professional certification in Data Management, Data Analytics, Data Science, Business Intelligence or other data-related field