Archived listing. The details below describe a past opening.
About Citi:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients' best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We'll enable growth and progress together.
About the Role:
The Senior Director – Global Data Quality & Analytics is entrusted with one of Citi's most consequential mandates: ensuring the integrity, transparency, and strategic value of enterprise data at global scale. This role calls for a transformational executive who understands that data quality is the foundation of every sound business decision, every regulatory interaction, and every client commitment Citi makes.
In this role, the successful candidate will lead multiple high-performing teams through senior managers, orchestrating a portfolio of Data Quality and Reporting initiatives that directly influence Citi's risk posture, regulatory standing, and revenue outcomes. They will serve as a critical voice in shaping enterprise data policy, forging partnerships with senior business leaders, technology executives, and global functional heads to embed robust data governance frameworks and KPI/KRI architectures across every line of business.
Responsibilities:
- Enterprise People & Resource Leadership: Exercise full managerial and budgetary authority over high-performing, globally distributed team-driving talent acquisition, executive coaching, performance calibration, and resource allocation across major data governance and risk programs.
- Regulatory Oversight & Board-Level Reporting: Direct the preparation and delivery of executive and board-level reporting while serving as a primary interface for Internal Audit, and risk committees to demonstrate sustainable compliance and remediation progress.
- Strategic Governance & Metric Formulation: Partner with senior business heads and metrics teams to operationalize enterprise data policies, establish robust KPI/KRI frameworks, and embed objective data risk controls across all lines of business.
- Manages all Data Quality and Reporting initiatives including process reengineering that will enable the achievement of strategies and initiatives that increase revenues, reduce costs and/or improve the customer and business partner experience
- Directly controls budget, policy formulation and planning
- Acts as a key contributor to future strategy of Data Quality and Reporting initiatives
- Manages a variety of broad-based and complex issues requiring conceptual analysis
- Applies in-depth industry knowledge; Applies broad and comprehensive understanding in multiple functional areas as well as underlying enterprise principles
- Develops strategic plans for the function/team
- Understands how own function/team integrates within the overall organization to contribute to achieving enterprise objectives; requires a good working knowledge of the industry
- Provides evaluative judgment based on analysis of information in complicated, unique and dynamic situations; draws on diverse range of internal and external sources
- Performs other duties and functions as assigned
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervising the activity of others and creating accountability with those who fail to maintain these standards
Qualifications & Experience:
Leadership, Risk & Regulatory Standing
- 15+ years of related experience in Banking or Finance, with demonstrated leadership over large-scale, technically complex Data Quality and Reporting programs and the globally distributed engineering teams that deliver them
- Track record of successful delivery in establishing and scaling enterprise data governance frameworks, data lineage programs, or large-scale risk/compliance remediation efforts.
- Direct regulatory interaction experience, with demonstrated success representing data programs before financial regulators (e.g., FRB, OCC, PRA, MAS, ECB).
- Demonstrable experience leading complex organizational change initiatives across multi-disciplinary teams (Technology, Operations, Business, and Risk).
- Proven track record of building and leading high-performing, senior technical teams - including executive coaching, performance calibration, succession planning, talent acquisition, and cross-border resource allocation across major data governance and risk programs
- Strategic mindset with demonstrated ability to set technical vision, translate complex data quality challenges into breakthrough enterprise strategies, and align senior engineering leadership around long-term data quality objectives
- Champions a positive risk culture by fostering transparent engagement, a partnership-driven approach, and zero tolerance for behavior that exposes the organization to inappropriate data or compliance risk
Governance, Architecture & Technical Standards
- Prior experience with Citi’s Data Governance Policy (CDGP), Data Operating Model, or equivalent Tier-1 bank data governance architectures.
- Deep expertise in enterprise data governance platforms such as Collibra, Informatica Data Quality, IBM InfoSphere, or Ataccama, with demonstrated authority in setting architectural standards, governing platform adoption, and driving enterprise-wide integration
- Hands-on architectural experience with cloud data platforms including AWS (S3, Glue, Redshift, Lake Formation, EMR) or Microsoft Azure (Azure Data Factory, Synapse Analytics, Purview, ADLS Gen2), with the ability to define cloud-native data quality architectures that scale across global business lines
- Experience with big data and streaming technologies including Apache Spark, Apache Kafka, or Hadoop, with demonstrated ability to define architectural patterns for high-volume, real-time data quality monitoring across distributed systems
- Proficiency in programming and scripting languages including Python 3.10+, SQL, Scala, or PySpark, with experience establishing engineering standards for data validation frameworks, automated quality pipelines, and enterprise reporting at scale
- Proficiency with relational and NoSQL data stores such as Oracle, Teradata, Snowflake, PostgreSQL, and MongoDB, including expertise in performance optimization, data modeling standards, and enterprise data quality rule governance
- Experience establishing CI/CD engineering standards using tools such as Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps, with demonstrated leadership in automating data pipeline quality gates, deployment governance, and testing frameworks across engineering organizations
- Experience architecting enterprise data observability and monitoring solutions using platforms such as Monte Carlo, Grafana, ELK Stack, or Splunk, with demonstrated ability to define SLAs, set alerting standards, and drive a culture of proactive data reliability across global teams
- Experience applying AI/ML techniques - including Python-based ML pipelines, TensorFlow, or cloud-native services such as AWS SageMaker or Azure ML - to enterprise data quality use cases such as anomaly detection, pattern recognition, and intelligent remediation workflows
Education:
Bachelor's/University degree, Master's degree preferred ------------------------------------------------------
Job Family Group:
Data Governance------------------------------------------------------
Job Family:
Data Quality & Data Quality Analytics and Reporting------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Primary Location:
New York New York United States------------------------------------------------------
Primary Location Full Time Salary Range:
$170,000.00 - $300,000.00 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, Data Quality Management, Internal Controls, Needs Assessment, Risk Management Culture.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Anticipated Posting Close Date:
Nov 06, 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.
Illinois residents – AI Notice and Right ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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