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Data Quality/ Data Governance- C11

3 months ago


Bengaluru, Karnataka, India Citigroup Full time

Product Data Steward Job Description:

About us:

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.

What do we offer:

Personal Banking & Wealth Data team manages the implementation of best-in-class data quality measurement programs across globe in personal banking and wealth management business and offers enterprise level data management solutions. Currently we are looking for SME's who can lead data ownership program.

Data Steward is responsible for

  • Executing data strategies for target state and defining data controls throughout data life cycle
  • Defining enterprise level data domains, taxonomy and data classification
  • Defining data steward procedures and enforcing data standards.
  • Developing data access controls, reviewing data usage, sharing and defining purpose of data
  • Identifying critical data elements and define data ownership (Technical/Business etc)
  • Reviewing data concerns and leading data remediation strategy
  • Certifying data based on fit for purpose and ensuring data meets the data consumer requirements.
  • Ensuring all data is compliance with Global and local laws and regulations as applicable.
  • Collaborate with data owners in implementation of data governance policies and data operating model

Expertise required:

  • Collating and reviewing data requirements ( specific details - complete, timeliness and accuracy specifications) from data consumers
  • Reviewing existing data controls and recommending additional controls as per data strategy.
  • Ability to understand meta data – lineage, definitions and trusted data sources
  • Ability to search and consolidate critical data elements information in meta data tools
  • Reviewing meta data and highlighting gaps in meta data
  • Performing RCA on Data Concerns and identify solutions
  • Drive remediation strategy and collaborate with technology/ data owners
  • Tracking KPI's progress for critical milestones
  • Documentation of in scope/out of scope of data requirements for use cases

Tools and Platforms

  • Proficient in MS Excel, PowerPoint , Visualization tools
  • SAS or SQL

Domain Skills

Good understanding of

  • Banking domain (Cards, Deposit, Loans, Wealth management, & Insurance etc.)
  • Audit Framework
  • Data quality & Governance framework
  • Meta data management
  • Risk & control Metrics

(Preferred) - Knowledge of Finance Regulations, Understanding of Audit Process

Nice to Have Skills:

  • Exposure to BI tools and technologies – example: Tableau or Cognos or SAS BI or Qlikview, etc.
  • Automation and process re-engineering / optimization skills

Soft Skills

  • 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
  • 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 / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications
  • 5 to 8 years of hands on experience in delivering Data Governance solutions, with at least 2 year's experience in Banking Industry

Job Family Group:

Decision Management


Job Family:

Data/Information Management


Time Type:

Full time


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