Data Governance and quality with Gen AI/AI

Overview

Data Steward Analyst role within Citi's Analytics Information Management (AIM) team, supporting data governance and data quality programs for retail consumer banking.

What you'll do

• Define, document, maintain, communicate and publish metadata, and perform and maintain data lineage, supporting the use of metadata for all data consumers.
• Work with business partners to identify and propose data elements to be designated as Critical Data Elements (CDEs).
• Identify Trusted Source (system of origin, system of record and authoritative provisioning point) for each approved CDE in the business process.
• Capture metadata for CDEs within the business process and ensure it is stored in accordance with the CDO's Metadata Management Process.
• Review business glossary with the Process Owner and publish it to the enterprise Metadata Repository.
• Assist metadata for physical and logical data elements.
• Be actively involved in initiatives including overlaying data on process maps, appropriateness of Trusted Source assignment for CDEs in scope, data quality, data lineage, metadata management and maintenance of data dictionaries.
• Lead efforts to implement policies, procedures and system enhancements to fill current and future Data Governance gaps.
• Provide support to Data Governance/Data Stewards including partner/stakeholder management, expectation setting with partners, prioritization of work to team members, and act as Data and functional SME.
• Develop and maintain project management trackers and provide regular updates to managers, senior leadership and stakeholders.
• Ensure required controls, checks, governance and process documentation are always up to date and maintained regularly.

What you'll need

• MBA or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications or Engineering from a premier institute.
• 5 to 8 years of hands-on experience in delivering data quality solutions, with at least 2 years' experience in the Banking Industry.
• Analytical skills: data analysis and visualization; proficient in formulating analytical methodology, identifying trends and patterns with data; generate actionable business insights.
• Proficient in data lineage tools and metadata management tools (e.g., Collibra or Solidatus).
• Proficient in MS Excel, PowerPoint and Word.
• Understanding of Enterprise Data Warehouse such as Bigdata and Teradata.
• Exposure to SAS, Python, SQL/data retrieval tools.
• Good understanding of data definitions and data discovery; data quality framework; data governance including identification of critical data elements and measuring and monitoring of CDEs.
• Process improvement experience pertaining to compliance and data quality initiatives.
• Hands-on experience on KPI design, issue resolution and remediation activities.
• Identification of control gaps and providing recommendations as per data strategy.
• Measuring effectiveness of different DQ roll-out programs.
• Ability to identify, clearly articulate and solve complex business problems and present them to management in a structured and simple form.
• Excellent communication and interpersonal skills.
• Good process and project management skills.
• Ability to work well across multiple functional areas and thrive in a dynamic, fast-paced environment.

Nice to have

• Knowledge of Finance Regulations and understanding of Retail Business.
• BTech/BE in Information Technology, Information Systems or Computer Applications.
• Post Graduate degree in Computer Science, Mathematics, Operations Research, Econometrics, Management Science or related fields.

Details

• Location: Bangaluru, Karnataka, India.
• Employment type: Full time.
• Job family: Data/Information Management (Decision Management group).