Lead Data Quality and information Management Manager

Навыки

• AI-агенты
• AI-инструменты в работе
• BI-инструменты
• Решения на данных
• Data Governance
• Data Quality
• ETL / ELT

О компании и продукте

• Analytics Information management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world.

Требования

• Ability to identify, clearly articulate and solve complex business problems and present them to the senior management or partners in a structured and simpler form
• Should have excellent communication and inter-personal skills
• Good process/project management skills
• Mentoring junior members in the team
• Ability to work well across multiple functional areas
• Ability to thrive in a dynamic and fast-paced environment
• Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc
• Proactive approach in solving problems and eye for details
• A strong team player
• Educational and Experience
• MBA / Masters Degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute
• BTech / B.E in Information Technology / Information Systems / Computer Applications
• (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields
• 9-10+ years of hands-on experience in people management, delivering data quality, MIS, data management with at least 2-3 years’ experience in Banking Industry
• Job Family Group: Decision Management
• Job Family: Data/Information Management
• Time Type: Full time
• Most Relevant Skills Please see the requirements listed above
• Other Relevant Skills For complementary skills, please see above and/or contact the recruiter
• Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law
• If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi
• View Citi’s EEO Policy Statement and the Know Your Rights poster

Условия

• FCDO team manages the implementation of best-in-class data quality measurement programs across globe in retail consumer bank. The critical areas we support
• Data Governance : Standardization of data definitions and ensuring consistency in usage as per definitions across systems/products/regions
• Meta Data Management : Leveraging data lineage, data discovery initiatives and creation of enterprise level meta data for all retail consumer products
• Data Ownership : Identifying trusted data sources, data owners and consumers across process and products
• Issue Management : Identifying defects and investigating root causes for different issues
• Following up with stakeholders and creation of plan for resolution as per SLA
• Audit Support : Identifying cases on control gaps, policy breaches and providing data evidence for audit completion
• Data Certification : Developing procedures on data certification and certifying as per fit for purpose criteria
• Expertise Required
• Data/Information Mgt Sr Analyst is responsible for ensuring the organization’s data is accurate, complete, consistent, and reliable to support strategic planning and operational efficiency
• This role involves profiling data to identify flaws, authoring data quality rules to prevent issues, monitoring data pipelines, managing metadata and remediate data concerns
• This person will also be responsible to design, develop, and deploy scalable AI-powered solutions that enhance enterprise workflows and decision-making
• The ideal candidate will combine strong software engineering skills with hands-on experience in machine learning and generative AI systems, including LLM-based applications and AI agents
• Metadata Management and Data Governance
• Maintain Data Catalog/Dictionary: Document and maintain business, technical, and operational metadata, including data lineage, definitions, and data standards
• Data Lineage Mapping: Utilize metadata to map data lineage, understanding how data flows from source systems to downstream reporting to identify potential impact areas
• Policy Compliance: Ensure all data assets adhere to defined data governance policies and data privacy regulations
• Data Profiling and Analysis
• Profiling Execution: Perform deep profiling of large datasets to understand data structure, patterns, and content, identifying hidden anomalies or missing information
• Root Cause Analysis (RCA): Investigate data quality issues to determine the root cause, distinguishing between upstream processing errors and data entry errors
• Data Assessment: Evaluate critical data elements (CDEs) for accuracy and completeness
• Data Quality Rule Creation and Authoring
• Rule Definition: Collaborate with business stakeholders to define and validate business rules for data validation (e.g., completeness, accuracy, consistency, validity)
• Rule Authoring/Implementation: Develop and implement data quality rules, checks, and preventative/detective controls using SQL, Python, or specialized DQ tools
• Validation Logic: Document validation logic and exception-handling procedures for critical datasets

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