Data Quality Exception Management Lead Analyst
About The Position
The Data Quality Exception Management Lead Analyst is a senior individual contributor who delivers against the directional strategy for Data Quality Exception Management. The role analyzes current capabilities and target-state models and helps build a roadmap to advance data quality exception management systems. The Enterprise Data Office maintains tools that help businesses across the bank manage, track, and disposition data quality exceptions originating from data quality rules. The analyst owns requirements for one or more of these tools and partners with data quality professionals and technical teams to maintain, enhance, and improve tool capabilities. The role solicits and authors business requirements to address pain points, simplify design, integrate enhanced capabilities including AI-based features, and ensure requirements are understood and implemented correctly. The successful candidate is dynamic and flexible, able to respond to changing needs, handle ambiguity and complexity, and manage multiple responsibilities. Strong communication and diplomacy skills are needed to guide, influence, and convince others. The position is based in an office setting, with minimal travel; office working hours may be required during projects. Minimal physical effort is required, although prolonged and intense concentration in front of a computer may be necessary.
Requirements
- 6–10 years of relevant experience in Data Governance, Data Management, Process Engineering, or a related area.
- Advanced understanding of project management methodologies and tools.
- Demonstrated experience authoring business and/or functional requirements for implementation by development teams.
- Ability to monitor tight deadlines and unexpected requirement changes, anticipate needs, and balance the needs of multiple stakeholders.
- Ability to communicate effectively and deliver communications that convey an understanding of different audiences’ needs.
- Bachelor's/University degree.
Nice To Haves
- Exposure to working in an AI-assisted environment, especially for requirements authoring and JIRA management.
- Familiarity with AI-assisted Product Development Lifecycle (PDLC).
- Prior experience as a Product Owner.
- Master's degree preferred.
Responsibilities
- Understand and adhere to all policy-level requirements related to Data Quality.
- Partner with multiple teams to build software solutions related to Data Governance policies and/or Data Risk and Control frameworks.
- Author functional requirements for enhancements to Data Quality Exception Management tools, document requirements in JIRA stories, and conduct grooming sessions with developers and technical staff.
- Prioritize requirements for release sprints in alignment with changing policy requirements and business operational needs.
- Work with data-focused stakeholders across Citi businesses to understand operational procedures related to data quality exception management.
- Identify opportunities to automate manual steps, address inefficiencies in existing tooling, integrate AI-forward solutions, and prioritize the product backlog.
- Provide expertise on Data Governance and/or Data Risk and Controls frameworks, including design, effectiveness, performance monitoring, and self-assessment processes.
- Oversee and analyze data-related issues, tracking ownership, target dates, metrics, and reporting.
- Gather and synthesize metrics on existing Data Governance and/or Data Risk and Controls principles, policies, practices, and standards, including industry best practices.
- Produce recommendations for enterprise-wide guiding principles, policies, processes, and practices.
- Determine requirements for and prioritize development of new enterprise-wide principles, policies, processes, and practices as needed.
- Develop and manage an approach for measuring adoption of principles, policies, processes, and practices.
Benefits
- Medical, dental, and vision coverage
- 401(k)
- Life, accident, and disability insurance
- Wellness programs
- Paid time off, including vacation, sick leave, and paid holidays
- Eligible employees may receive discretionary and formulaic incentive and retention awards
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What This Job Offers
Job Type
Full-time
Career Level
Senior
