Job Description:

The JPMC Internal Audit (IA) 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. This role aims to capture key insights that facilitate informed decisions and accelerate the use of artificial intelligence, machine learning, and emerging technology to advance the Future of Audit roadmap.

As the Director of Data Strategy, Management & Solutions within the IA Chief Data Office, you will drive the department towards a more data-focused business model by facilitating the delivery and implementation of the IA Data Strategy. You will lead efforts to foster a data-driven culture throughout the department, emphasizing that data is a strategic asset that drives business strategies and delivers value to the firm. The ideal candidate should provide a comprehensive view of data to all levels of stakeholders across multiple functions, leveraging their subject matter expertise in data management and deep understanding of the data lifecycle. The candidate should also have a continuous improvement mindset, aiming to establish a best-in-class Data Program that lays a solid foundation for a data-centric future and positions IA to successfully achieve its strategic priorities.

Job Responsibilities

Lead the IA Data Strategy, Management & Solutions, effectively managing components of the Data Program to consistently deliver business results and provide ongoing value to stakeholders. Identify, develop, and facilitate the delivery of a comprehensive Data Strategy roadmap to accelerate the Future of Audit journey, while ensuring alignment with the firmwide data strategy. Provide oversight of Data Management processes, continuously seeking opportunities to enhance the operating model to improve data quality, drive innovation, and deliver business value across the department. Understand audit tools and the structure and integrity of internal data, ensuring seamless data flow throughout the IA ecosystem, and ensuring data availability and consumption in an integrated and holistic manner. Develop and manage the IA business data quality monitoring program to ensure data accuracy, completeness, and timeliness, while collaborating with stakeholders to address and resolve data quality issues. Drive strategic initiatives supporting modernization of the data infrastructure, including data ingestion, storage, transformation, and consumption methods, to optimize data utilization and accessibility. Define clear business requirements and collaborate on technical solutions with key stakeholders to develop data solutions that address data-related challenges and needs.

Required qualifications, capabilities and skills

10+ years of experience in Data Management, Data Engineering, or a related field, with a proven track record of developing and implementing data strategies and driving business results. Subject matter expertise in data quality, metadata management, data architecture, data warehousing, or other related data management fields. Demonstrated experience in leveraging industry-leading data management solutions, such as Informatica, Collibra, Atlan, etc., to strengthen data governance frameworks and improve data quality. Proven ability to utilize advanced cloud-based data platforms such as Databricks, Snowflake, etc. to enhance data storage solutions and streamline data processing operations, ensuring optimal performance and scalability. Well-versed in leveraging artificial intelligence, machine learning, and emerging technology frameworks and tools to facilitate the integration of advanced analytics into comprehensive data strategies. Excellent verbal and written communication and presentation skills, with impeccable attention to detail and consistent delivery of professional-grade quality deliverables. Strong problem-solving skills with the ability to identify and analyze complex problems, establish root causes, and develop optimal solutions. 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 functions. Bachelor's or Master's degree in Business Administration, Finance, Computer Science, Information Systems, Engineering, or a related field. Expertise in end-to-end data processing and transformation, utilizing techniques and languages such as SQL, R, and Python to support the development and execution of comprehensive data strategies and solutions. Professional certification in Data Management, Data Engineering, Data Analytics, or other data-related fields.