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Enterprise Data Governance Solutions Lead - Director

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Citibank (Switzerland) AG
Full Time position
Listed on 2026-09-26
Job specializations:
  • Management
    Change Management
  • IT/Tech
    Change Management
Salary/Wage Range or Industry Benchmark: 180000 - 240000 GBP Yearly GBP 180000.00 240000.00 YEAR
Job Description & How to Apply Below
## Enterprise Data Governance Solutions Lead - Director Apply:
Hybrid:
London United Kingdom:
Full time:
Posted Today:
End Date:
October 2, 2026 (7 days left to apply):
Citi is looking for a senior Enterprise Data Governance Solutions Lead to own the end-to-end strategy and execution of Adjustments Governance and Transformation across a global financial institution. Sitting within the Enterprise Data Office, this role shapes how Citi identifies, governs, and remediates data adjustments at scale — directly influencing regulatory outcomes and the quality of enterprise data. This is a high-visibility leadership position that engages regularly with regulators, auditors, and senior stakeholders across lines of business and functions worldwide.
** Responsibilities
* ** Lead the Enterprise Data Governance Solutions strategy by defining and driving the end-to-end Adjustments Governance and Transformation plan, ensuring commitments are met and adoption is sustained across the enterprise.
* Own delivery of Adjustment and Manual Touch Point remediation regulatory mandates, ensuring outcomes are achieved on time and meet regulatory expectations.
* Chair the Adjustment Governance Forum, guiding stakeholders across lines of business, regions, and functions on consistent application of the Enterprise Adjustment Definition and governance best practices.
* Direct the adoption of the Data Automation Assessment Plan for adjustments enterprise-wide, collaborating with functions, regions, and lines of business to remediate adjustment use cases.
* Champion AI-driven solutions within the Enterprise Data Office, applying artificial intelligence tools to perform root cause analysis on data adjustments and translating findings into actionable remediation strategies.
* Lead monthly Adjustment Variance Analysis, including commentary and domain engagement, to maintain ongoing visibility and accountability across the enterprise.
* Represent Citi in discussions with regulators and internal audit, serving as the senior point of accountability for adjustment governance matters.
* Build and lead a high-performing team, with full accountability for performance management, hiring, compensation, and budget oversight.
** Required

Qualifications & Skills
*** 15 or more years of experience in banking or financial services, including 8 to 10 or more years leading cross-functional teams at a senior management level.
* Demonstrated ability to leverage AI tools to identify root causes, evaluate build-versus-buy trade-offs, and articulate AI-driven solutions to senior leadership in clear business terms.
* Established expertise in enterprise data governance, with a track record of designing and executing frameworks that improve data quality and meet regulatory commitments — including the use of data lineage, glossary, and data quality tooling.
* Technical proficiency in data warehousing, reporting, and analytics, with the ability to interpret complex data environments and translate findings into governance actions.
* Proven experience engaging with regulators and internal audit on data governance matters, including presenting plans, managing inquiries, and supporting examinations.
* Demonstrated ability to lead large-scale organizational change within a complex, global institution, applying change management principles to drive adoption and measure outcomes.
* Exceptional communication and stakeholder management skills, with the ability to align senior leaders across multiple functions and regions on a common direction.
** Beneficial

Skills & Qualifications
*** Experience in Risk and Finance functions within a financial services environment, providing familiarity with the data domains most relevant to this role.
* Prior experience working directly…
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