Data Quality Manager

Job Overview:

We are seeking a highly skilled Data Quality Manager to oversee and manage the quality of our data across various systems and platforms. The successful candidate will be responsible for developing data quality strategies implementing data quality standards and ensuring the integrity accuracy and consistency of our data. This role is critical in supporting our datadriven decisionmaking processes and maintaining the overall health of our data assets.

Key Responsibilities:

• Data Quality Strategy and Standards:

  • Develop and implement a comprehensive data quality strategy aligned with the organization’s goals and objectives.
  • Establish and enforce data quality standards and best practices across the organization.

• Data Quality Assessment:

  • Conduct regular data quality assessments to identify data quality issues gaps and areas for improvement.
  • Utilize data profiling tools and techniques to analyze data sets and identify anomalies and inconsistencies.

• Data Quality Improvement:

  • Develop and implement data quality improvement plans to address identified issues and enhance data quality.
  • Collaborate with data owners stewards and IT teams to cleanse standardize and enrich data.

• Data Governance:

  • Work closely with the Data Governance team to ensure data quality policies and procedures are integrated into the overall data governance framework.
  • Promote a culture of data quality and governance across the organization.

• Monitoring and Reporting:

  • Develop and maintain data quality metrics and dashboards to monitor data quality performance.
  • Generate regular reports on data quality status and progress to senior management and stakeholders.

• Training and Awareness:

  • Conduct training sessions and workshops to raise awareness of data quality issues and best practices among data users.
  • Provide guidance and support to data stewards and other stakeholders on data quality matters.

• Compliance and Risk Management:

  • Ensure compliance with relevant data quality standards regulations and industry best practices.
  • Identify and mitigate data quality risks that could impact business operations and decisionmaking.

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
  
• Nice to Have Skills:
• Exposure to BI tools and technologies – example: Tableau or Cognos or SAS BI or Qlikview etc.
• Automation and process reengineering / 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 interpersonal skills
• Mentoring junior members in the team
• Ability to work well across multiple functional areas
• Ability to thrive in a dynamic and fastpaced 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 10 years of hands on experience in delivering Data Governance solutions with at least 2 year’s experience in Banking Industry