The Chief Administrative Office Operations team supports compliance, and manages and maintains reference data to ensure that our customers, employees, and lines of business are in adherence with firm standards and required regulations.
Our mission is to improve the quality of reference data used across the organization and provide compliance operational support across the firm’s global businesses and functions. We are driving a culture of quality and continuous improvement toward the best outcome for client experience, our colleagues and JPMorgan Chase. We do the right thing, even when it’s not the easy thing.
If you're interested in working in an environment where leadership, excellence, integrity, and diversity are among our core principles, then explore the opportunities at J.P. Morgan Chase.
One of the top priorities across the Chief Administrative Office (CAO) at JPMorgan Chase is to help the firm move toward a more integrated data management strategy. The mandate of the CAO Reference Data Operations team is to manage reference data across the enterprise, establish firmwide reference data governance processes and quality standards, manage all reference data operations teams, and partner with the lines of business to drive alignment to firm-wide reference data standards. Our businesses and corporate groups rely on reference data to facilitate and execute transactions, support our clients, identify potential risks, and meet regulatory requirements.
The Financial & Product Reference Data Operations team manages reference data operations for financial reference data (the Data Domains for chart of accounts, legal entities/internal parties, business unit, etc.) and reference data for the Products and Services Data Domain. With respect to the latter domain, the team has defined a strategy and target-state operating model for how product reference data will be structured, maintained, distributed and consumed. This includes a heavy emphasis on the Finance and Risk organizations, and also the lines of business. Developing this integrated reference data management strategy for product and services across the firm is challenging and complex, requiring understanding of data architecture/flows and use cases for reference data consumption across Finance and Risk analysis and reporting disciplines. The team’s work in the Product and Services reference data Domain includes:
We are seeking high-performing candidates to help build out and play a leadership role within the team to lead the product reference data build out for traditional products and services (loans, commitments, cash and deposits). As this role requires extensive interaction with finance, risk, lines of business and data governance/operations organizations, relationship management and excellent senior management-level communication skills are critical. In particular, successful candidates will possess four key attributes:
The ideal candidate will also have strong client management and senior management-level communication skills, experience structuring and scoping complex problems, and the ability to apply a range of analytical tools to develop solutions to those problems. Very strong critical and creative thinking skills and a willingness to work with ambiguity must be demonstrated. Previous experience driving strategic and tactical process improvement initiatives in data/technology-heavy functions/programs is highly desirable.
The role reports to an Executive Director who is leading the overall Product Reference Data strategy firmwide, and will involve managing a small team of Associates.
The ideal candidate will have an MBA or equivalent advanced business degree from a good school, plus 3-5 years financial services experience, some of which has been either at a management consulting firm or in an internal transformational role, with data, technology and operations experience blended with knowledge of key finance and risk disciplines (or 6+ years of experience in one of these roles in lieu of an MBA). Exposure to or involvement with data management and/or data quality programs is preferred, but not required. In addition:
Note that this is not a program/project management role, nor is it data management governance/policy/ standards-related. It is about driving practical solutions for a use-case-based agenda via data and technology architecture and deployments.
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