Job Description:

The JPMC Internal Audit department is seeking a qualified candidate to join us as a critical partner in our department-wide transformational efforts to optimize and expand the use of data to capture key insights that facilitate informed decisions and accelerate the use of AI/ML to advance the Future of Audit roadmap. 

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. The ideal candidate should be able to 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. The candidate should also have a continuous improvement mindset, relentlessly aiming to have the best-in-class Data Program that establishes a solid foundation for a data-centric future and positions Internal Audit to successfully achieve its strategic priorities.   

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