Senior Director – Global Data Quality & Analytics (C15)

Citi•Tampa, FL
•$170,000 - $300,000

About The Position

Citi is seeking a transformational executive to lead Global Data Quality & Analytics and ensure the integrity, transparency, and strategic value of enterprise data worldwide. The role leads multiple high-performing teams through senior managers and oversees a portfolio of Data Quality and Reporting initiatives that influence Citi’s risk posture, regulatory standing, and revenue outcomes. The successful candidate will help shape enterprise data policy and partner with senior business leaders, technology executives, and global functional heads to embed data governance frameworks and KPI/KRI architectures across all lines of business. The role has broad managerial, budgetary, strategic, regulatory, and technical leadership responsibilities. It oversees data quality and reporting initiatives, including process reengineering, and contributes to the future strategy of the function. The position calls for in-depth industry knowledge, broad understanding across functional areas, and sound evaluative judgment in complex and dynamic situations. It also requires careful risk assessment, compliance with applicable laws and policies, transparent escalation and reporting of control issues, and effective supervision and accountability.

Requirements

  • 15 or more years of related experience in Banking or Finance.
  • Demonstrated leadership of large-scale, technically complex Data Quality and Reporting programs and the globally distributed engineering teams that deliver them.
  • Track record establishing and scaling enterprise data governance frameworks, data lineage programs, or large-scale risk and compliance remediation efforts.
  • Direct regulatory interaction experience and demonstrated success representing data programs before financial regulators such as FRB, OCC, PRA, MAS, or ECB.
  • Experience leading complex organizational change initiatives across Technology, Operations, Business, and Risk teams.
  • Track record building and leading senior technical teams, including executive coaching, performance calibration, succession planning, talent acquisition, and cross-border resource allocation.
  • Strategic ability to set technical vision, turn data quality challenges into enterprise strategies, and align senior engineering leadership around long-term data quality objectives.
  • Ability to champion a positive risk culture through transparent engagement, partnership, and a strong focus on preventing data or compliance risk.
  • Experience with Citi’s Data Governance Policy (CDGP), Data Operating Model, or equivalent Tier-1 bank data governance architectures.
  • Deep expertise with enterprise data governance platforms such as Collibra, Informatica Data Quality, IBM InfoSphere, or Ataccama, including setting architectural standards, governing adoption, and driving enterprise integration.
  • Hands-on architectural experience with AWS or Microsoft Azure cloud data platforms, including the ability to define scalable cloud-native data quality architectures.
  • Experience with big data and streaming technologies such as Apache Spark, Apache Kafka, or Hadoop, including architectural patterns for high-volume, real-time data quality monitoring.
  • Proficiency in Python 3.10+, SQL, Scala, or PySpark, and experience establishing standards for data validation frameworks, automated quality pipelines, and enterprise reporting.
  • Proficiency with relational and NoSQL data stores such as Oracle, Teradata, Snowflake, PostgreSQL, and MongoDB, including performance optimization, data modeling standards, and data quality rule governance.
  • Experience establishing CI/CD engineering standards using tools such as Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps, including automation of data pipeline quality gates, deployment governance, and testing frameworks.
  • Experience architecting data observability and monitoring solutions using platforms such as Monte Carlo, Grafana, ELK Stack, or Splunk, including defining SLAs and alerting standards.
  • Experience applying AI/ML techniques, including Python-based ML pipelines, TensorFlow, AWS SageMaker, or Azure ML, to data quality use cases such as anomaly detection, pattern recognition, and intelligent remediation workflows.
  • Bachelor’s or university degree.

Nice To Haves

  • Master’s degree preferred.

Responsibilities

  • Lead globally distributed teams through senior managers, including talent acquisition, executive coaching, performance calibration, and resource allocation across data governance and risk programs.
  • Direct preparation and delivery of executive- and board-level reporting and serve as a primary interface for Internal Audit and risk committees to demonstrate compliance and remediation progress.
  • Partner with senior business heads and metrics teams to operationalize enterprise data policies, establish KPI/KRI frameworks, and embed objective data risk controls across all lines of business.
  • Manage Data Quality and Reporting initiatives, including process reengineering to support strategies that increase revenue, reduce costs, or improve customer and business partner experience.
  • Directly control budget, policy formulation, and planning.
  • Contribute to the future strategy of Data Quality and Reporting initiatives and develop strategic plans for the function or team.
  • Analyze broad-based, complex, unique, and dynamic issues using diverse internal and external information sources and evaluative judgment.
  • Assess risk in business decisions, drive compliance with applicable laws, rules, regulations, and policy, and apply sound ethical judgment.
  • Escalate, manage, and report control issues transparently; supervise others effectively and hold them accountable for maintaining standards.
  • Perform other duties and functions as assigned.

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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