Operational Risk Manager - Platform Utilities and Infrastructure Analyst-VP

Citi; Getzville (NY); On-site; USD 101,000 - 151,000; Full time

Job summary

Citi Getzville, NY seeks a Data Governance Foundation Lead Analyst to help shape enterprise data strategy, risk controls, and policy alignment. You will partner with cross-functional teams to implement governance requirements and ensure compliance across data sources and reports.

The role requires strong analytical ability, experience guiding stakeholders, and delivering insights for senior management within a dynamic environment.

Qualifications

• Bachelor's/University degree; Master's degree preferred.
• 6-10 years relevant experience in a Data Governance/ Data Management/ Product Management and Ownership or related area.
• Advanced understanding of Project Management methodologies and tools.
• 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.

Responsibilities

• Partner with multiple teams to implement relevant Data Governance requirements and execute inline with policies and/or Data Risk and Control framework
• Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting
• Identify and remediate data quality issues, including mapping inconsistencies, duplicate elements, invalid domains, and ineffective business rules
• Gather and synthesize metrics on existing Data Governance implementation and/or Data Risk and Controls principles, policies, practices and standards
• Produce recommendations for enterprise-wide guiding principles, policies, processes and practices
• Determine requirements for and prioritize development of new tools and requirements leveraging data and maintaining compliance with Data Governance requirements as a part of the BAU process
• Perform data analysis and build subject matter expertise of data and usage
• Maintain traceability between data sources, business requirements, report calculations, and regulatory reporting outputs.
• Partner with Data Domain Owners, Data Managers, and Report Owners to document related business logic requirements.
• Drive remediation of data lineage, sourcing, and aggregation issues impacting report accuracy, completeness, and timeliness. Design and oversee data quality controls, validation rules, and monitoring frameworks for critical risk data. Coordinate control testing and evidence collection to satisfy internal audit, regulatory, and governance requirements.

Skills

Data Governance

Data Management

Data Quality

Internal Controls

Management Reporting

Policy

Procedure

Regulation

Program Management

Risk Controls and Monitors

Education

Bachelor's degree

Master's degree preferred

Tools

None

Job description

The Data Governance Foundation Lead Analyst is responsible for contributing to the directional strategy and assisting in creation and modification of Enterprise Data Governance Strategy, and/or Data Risk and Control Framework and Data Risk Taxonomy. The focus of this role may be on one or more of the following areas: assisting in identification, measurement and reporting, data policy adoption and compliance, data controls framework performance and issue management process, and regulatory and audit response and action tracking.

This role requires someone who is dynamic, flexible, and can easily respond to quickly changing needs. The candidate must have the ability to handle ambiguity and complexity and be able to deliver on multiple responsibilities. Developed communication and diplomacy skills are required in order to guide, influence and convince others.

Responsibilities

• Partner with multiple teams to implement relevant Data Governance requirements and execute inline with policies and/or Data Risk and Control framework
• Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting
• Identify and remediate data quality issues, including mapping inconsistencies, duplicate elements, invalid domains, and ineffective business rules
• Gather and synthesize metrics on existing Data Governance implementation and/or Data Risk and Controls principles, policies, practices and standards
• Produce recommendations for enterprise-wide guiding principles, policies, processes and practices
• Determine requirements for and prioritize development of new tools and requirements leveraging data and maintaining compliance with Data Governance requirements as a part of the Business as Usual (BAU) process
• Perform data analysis and build subject matter expertise of data and usage
• Maintain traceability between data sources, business requirements, report calculations, and regulatory reporting outputs.
• Partner with Data Domain Owners, Data Managers, and Report Owners to document related business logic requirements.
• Drive remediation of data lineage, sourcing, and aggregation issues impacting report accuracy, completeness, and timeliness. Design and oversee data quality controls, validation rules, and monitoring frameworks for critical risk data. Coordinate control testing and evidence collection to satisfy internal audit, regulatory, and governance requirements.

Recommended Qualifications

• 6-10 years relevant experience in a Data Governance/ Data Management/ Product Management and Ownership or related area
• Advanced understanding of Project Management methodologies and tools
• 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
• Skilled at analyzing data and and preparing presentation for senior management

Education

• Bachelor's/University degree, Master's degree preferred

Working Environment

office setting, minimal travelling and working hours in the office may be required during projects.

Effort

minimal physical effort required. High levels of prolonged and intense concentration may be required in front of computer.

Job Family Group

Data Governance

Job Family

Data Governance Foundation

Time Type

Full time

Primary Location

Getzville New York United States

Primary Location Full Time Salary Range

$100,800.00 - $151,200.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills

Data Governance, Data Management, Data Quality, Internal Controls, Management Reporting, Policy, Procedure, and Regulation, Program Management, Risk Controls and Monitors.

Anticipated Posting Close Date

Sep 04, 2026

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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