Data Quality Exception Management Lead Analyst

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 the enhancement of tools that enable Data Quality Exception management. Document requirements in JIRA stories and conduct grooming sessions with developers and technical staff.
• Prioritize requirements for release sprints that align to changing Policy requirements and business operational needs.
• Work closely with data-focused stakeholders embedded within the various businesses across Citi to understand their operational procedures as they relate to data quality exception management. Identify opportunities to automate manual steps, alleviate inefficiencies in existing tooling, integrate AI-forward solutions, and prioritize the product backlog.
• Provide expertise on Data Governance and/or Data Risk and Controls framework including design, effectiveness, performance monitoring and self-assessment processes
• Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting
• Gather and synthesize metrics on existing Data Governance and/or Data Risk and Controls principles, policies, practices and standards, e.g., understanding 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 approach for measuring adoption of principles, policies, processes and practices

Recommended Qualifications

• 6-10 years relevant experience in a Data Governance/ Data Management/ Process Engineering or related area
• Advanced understanding of Project Management methodologies and tools
• Demonstrated experience authoring business and/or functional requirements for implementation by development teams is required.
• Exposure to working in an AI-assisted environment, especially with regards to requirement authoring and JIRA management, strongly preferred.
• Familiarity with AI-assisted PDLC (Product Development Lifecycle) strongly preferred.
• Prior experience as a Product Owner strongly preferred.
• Ability to monitor tight deadlines or unexpected requirement changes, with the ability to anticipate and balance needs of multiple stakeholders
• Ability to communicate effectively to develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences

Education

Primary Location Full Time Salary Range:

• ------------------------------------------------------

Most Relevant Skills

• ------------------------------------------------------

Automated Processing and AI