ROLE
– Integrates subject matter and industry expertise within a defined area
– Contributes to standards around which others will operate
– Establish monitoring routines, scorecards and escalation workflows
– Oversee the Data Strategy, Smart Automation, Insight Generation, Data Quality and Reporting activities
– Document data requirements, data collection / processing / cleaning
– Enable proactive issue detection, escalation workflows, and alignment with firmwide Data Related policies
– Implement a governance framework with clear stewardship roles and data quality controls
– Interface between business and technology partners for digitizing data collection
– Build Data Strategy by identifying all relevant product processors, create Data Lake, Data Pipeline, Governance & Reporting
– Communicate findings and recommendations to senior management
– Stay current with the latest trends and technologies in analytics
– Ensure compliance with data governance policies and regulatory requirements
– Setup a governance operating framework to enable operationalization of data domains
– Identify CDEs and Data Quality rules
– Align with Citi Data Governance Policies and firmwide Regulatory Data and Reporting expectations
– Implement rule-based Data Quality checks across critical data points
– Automate alerts for breaks and publish periodic quality reports
– Develop and execute the analytics strategy – Data Ingestion, Reporting / Insights Centralization
– Ensure consistency, lineage tracking, and audit readiness across regulatory reporting needs
– Lead a team of data engineering professionals and work with them to deliver on organizational priorities

REQUIREMENTS
– 10-15 years of experience in Business Transformation Solution Design roles
– Proficiency in tools/technologies like SQL, SAS, Python, PySpark, Tableau, Xceptor, Appian, JIRA, Sharepoint
– Strong understanding of Data Transformation – Data Strategy, Data Architecture, Data Tracing & Lineage, Scalable Data Flow Design and Standardization
– Strong understanding of data platforms / ecosystem, establish a scalable data management framework
– Solution Architect with proven ability to translate complex data flows into automated & optimized solutions
– Ability to leverage data analytics tools & techniques for analytics problem solving for organizational needs
– Experience in Developing and Deploying AI solutions in partnership with Tech and Business
– Experience with banking operations
– Knowledge of regulatory requirements related to data privacy and security
– AI / Gen AI proficiency and thought leadership in Financial/Business Analysis and/or credit/risk analysis
– Analytics thought leadership skills & Manage project planning effectively
– In-depth understanding of the various financial service business models
– Expert knowledge of advanced statistical techniques and how to apply the techniques to drive substantial business results
– Creative problem-solving skills
– Bachelors/University degree in STEM, Master’s degree preferred