Data Quality Execution Associate – Corporate Finance & Treasury and Chief Investment Office

Join a team that safeguards the integrity of the firm’s finance and treasury data while shaping enterprise standards. You will grow your skills through hands‑on problem solving, cross‑functional collaboration, and exposure to complex data ecosystems. We value curiosity, clear communication, and ownership—bringing your voice to governance forums and process improvements. Enjoy a culture that supports mobility, mentorship, and continual learning as you develop subject matter expertise. 

Job summary
As a Data Quality Execution Associate in Corporate Finance & Treasury and Chief Investment Office, you ensure high‑quality, fit‑for‑purpose data that enables financial reporting, risk management, and decision making. You will progress data quality items through defined lifecycle phases, coordinate stakeholders, and uphold firmwide standards and local procedures. You will use inclusive collaboration to analyze impacts, drive root cause remediation, and document evidence. You will help the team deliver timely metrics and governance materials, and surface themes that improve data health across applications. 

You will partner with Firmwide Finance Business Architecture and the Corporate Finance & Treasury/Chief Investment Office Chief Data Office to align to data risk management standards and capabilities. In this role, you build practical expertise across business processes, data ownership, control review, and technology workflows. You will contribute to firmwide forums, adopt best practices, and advance consistent execution across data quality processes. 

Job responsibilities

• Manage data quality items through all lifecycle phases: intake, prioritization, analysis, commitment, resolution, and closure. 
• Review new submissions against the intake checklist, validate definitions, and coordinate clarifications with reporters. 
• Coordinate impact assessment, populate required fields in the data quality management tool, and support standardized, specialized, or discretionary prioritization. 
• Facilitate root cause analysis and handshake processes across product, upstream, and downstream stakeholders; transfer ownership to other teams when appropriate.
• Partner with business process owners, data owners, control managers, technology, and other data office teams to identify root cause and impacted applications/processes; progress items to meet service‑level timelines. 
• Coordinate control manager reviews for high‑ and medium‑priority items; collect appropriate documentation and upload evidence within required timelines. 
• Create, assign, and monitor tasks in the data quality management tool to track resolution steps, completion dates, and ownership through commitment and resolution phases. 
• Validate closure by confirming remediation, root cause resolution, required documentation, and sign‑offs. 
• Monitor service‑level breaches, aged items, and roadblocks; escalate appropriately to data owners and leadership. 
• Prepare governance materials (metrics, commentary, breach rationale, status on priority and aged items), contribute to thematic reviews, and coordinate monthly reporting on items with confirmed trade surveillance impact. 

• Maintain accurate records, deliver stakeholder training and onboarding, improve job aids and procedures, and participate in firmwide data quality forums to adopt best practices. 

   

Required qualifications, capabilities, and skills

• Bachelor’s degree in finance, business, data analytics, information systems, risk management, or a related field. 
• Up to two years of experience in financial services, data management, project coordination, or business analysis. 
• Proficiency with Microsoft Excel, PowerPoint, Word, and Visio. 
• Strong attention to detail with analytical and problem‑solving skills. 
• Ability to manage multiple priorities and adapt to changing requirements in a fast‑paced environment. 
• Effective communication and collaboration skills across diverse stakeholders and levels. 
• Ability to navigate ambiguity, ask clarifying questions, and drive issues to resolution. 
• Self‑motivated learner with intellectu