The Data Governance Foundation Sr Lead Analyst is responsible for leading activities that contribute to the definition of the Enterprise Data Governance Strategy, and/or Data Risk and Control Framework and Data Risk Taxonomy, and plays a critical role in leading activities to support implementation of the Data Governance Policy/Data Risk and Control framework.

This job requires excellent communication skills needed to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required to guide and influence others, in particular, colleagues in other areas and occasional external customers. Accountable for significant direct business results or authoritative advice regarding the operations of the business.

Responsibilities:

• Liaise with partners to lead in establishing, managing and implementing policy adoption plans, compliance metrics, communications and training
• Lead business analysis through collection, analysis, review, documentation and communication of business needs and requirements, to understand requirements and aligning these to Data Governance and/or Data Risk and Controls standards to drive appropriate solutions
• Contribute to the establishment of Data Governance and/or Data Risk and Controls standards in alignment with Enterprise Chief Data Office, and ensure proper documentation of processes
• Support key Data Transformation projects across the organization as Subject Matter Expert in data policies
• Lead activities to ensure roles and responsibilities related to data are understood and implemented across businesses
• Collaborate with colleagues to ensure timely execution of milestones, provide reporting of potential risks to delivery, and incorporate milestone reporting and changes
• Capture requirements, develops delivery plans and manages the entire lifecycle of metrics and report production
• 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.
• Drive modern data governance operating and governance models, translating strategy into practical, scalable execution.
• Partner with business, technology, and data teams to reimagine how governance is designed, communicated, and adopted.
• Leverage AI and emerging AI tools to enhance data governance processes, reporting, insights, and decision‑making.
• Explore and implement new ways of reporting, including automation, advanced visualizations, and insight‑driven storytelling.
• Create executive‑level management materials, including presentations, dashboards, and visual diagrams that clearly communicate complex concepts.
• Develop clear, compelling governance narratives for senior leadership and key stakeholders.
• Act as a thought partner to stakeholders by challenging traditional approaches and proposing innovative, tech‑forward solutions.
• Translate complex data governance concepts into simple, actionable insights for non‑technical audiences.
• Support stakeholder engagement by facilitating discussions, workshops, and reviews related to governance frameworks and operating models.
• Continuously stay current on industry trends, AI advancements, and best practices in data governance and reporting.

Qualifications:

• 10+ years of experience, Banking or Finance industry preferred in a Data Governance/ Data Management/ Process Engineering or related area
• Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; able to drive consensus, and influence relationships at all levels
• Collaborates effectively by building partnerships and working well with others to meet shared objectives
• Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels
• Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between seeing the “big picture” while paying close attention to detail
• Organizational savvy: understands systems, management processes, knows where to go for information and how to interpret them
• Working knowledge of Data Operating Model practices, Data Governance and Data Compliance within large, financial services firms
• Strong knowledge of data governance models and operating models within complex organizations.
• Solid understanding of AI concepts, AI tools, and practical applications, with the ability to apply them to governance and reporting use cases.
• Demonstrated experience leveraging technology and AI tools to improve efficiency, insights, or communication.
• Highly curious, tech‑savvy, and innovative mindset with a willingness to experiment and challenge the status quo.
• Proven ability to design and deliver modern, visually compelling reporting and management materials.
• Advanced PowerPoint skills, including executive storytelling, visual frameworks, and diagram creation.
• Strong written and verbal communication skills, with the ability to influence and engage senior stakeholders.
• Experience working with cross‑functional stakeholders, including data, technology, risk, and business teams.
• Ability to operate independently, manage ambiguity, and bring structure to loosely defined problems.

Education:

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

Job Family Group:

Data Governance

Job Family:

Data Governance Foundation:

Time Type:

Full time

Primary Location Full Time Salary Range:

$145,100.00 - $217,700.00

Most Relevant Skills

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

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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.

This job opening is for an existing job vacancy.

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