Data Governance Foundation Sr Lead Analyst - SVP

About the Role

Key Responsibilities

• Serve as the central point of contact for Data Governance within Enterprise Risk Technology, driving alignment and effective implementation of Citi Data Governance Policy and obligations.
• Drive the adoption of data governance capabilities and standards defined by the Enterprise Data Office and ensure data quality practices are managed across Enterprise Risk Technology to meet regulatory requirements.
• Monitor alignment to the Enterprise Data Governance Policy and standards across Enterprise Risk Technology to meet its specific requirements.
• Liaise between the Enterprise Data Office and other key partners in Risk Management and Technology to advance the Data Transformation agenda.
• Manage relationships with key stakeholders across the organization, including executing day-to-day activities and meetings.
• Deliver on Data initiatives including data requirements, issues management, Data Quality rules, lineage, and taxonomy.
• Educate team members on data quality tools, techniques, and principles.
• Interface with stakeholders, businesses, and technology partners to promote data quality initiatives.
• Prepare and present status updates and solutions to stakeholders, business partners, and technology teams.
• Proactively manage risks, issues, and dependencies, escalating as necessary.
• Collaborate with colleagues to ensure timely milestone achievement, report potential risks, and incorporate changes.
• Assess risks associated with business decisions, ensuring compliance with laws, regulations, and policies, and escalating control issues.

Requirements

• 10+ years of experience in Banking or Finance industry, preferably in Data Governance, Data Management, Process Engineering, or related areas.
• Working knowledge of Data Operating Model practices, Data Governance, and Data Compliance within large financial services firms.
• Experience defining and implementing Data Quality programs, including issue resolution and strategy execution.
• Deep subject matter expertise in end-to-end data flows within a technology ecosystem.
• Strong collaboration, negotiation, influencing, and stakeholder management skills across various levels.
• Excellent communication skills, both oral and written, with the ability to synthesize key messages and build relationships.
• Ability to work under pressure, manage deadlines, and adapt to unexpected changes.
• Bachelor's/University degree or equivalent experience.

Nice to Have

• Experience with Data Operating Model practices and Data Compliance.
• Experience with data transformation and risk function transformation projects.
• Knowledge of data quality tools, techniques, and principles.

Qualifications

• Bachelor's/University degree or equivalent experience.

Benefits & Perks

• Competitive salary range of $156,160.00 - $234,240.00.
• Discretionary and formulaic incentive and retention awards.
• Comprehensive employee benefits including medical, dental & vision coverage.
• 401(k) retirement plan, life, accident, and disability insurance.
• Wellness programs and paid time off including vacation, sick leave, and holidays.