• Establishing and managing data strategies, target state and define data controls throughout data life cycle
• Defining enterprise level data domains, taxonomy and data classification
• Defining data ownership procedures and enforcing data standards.
• Setting up data usage framework like access controls, usage, sharing and defining purpose of data, data retention guidelines
• Identifying critical data elements and define data ownership (Technical/Business etc)
• Reviewing data concerns and developing 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.
• Guide data stewards in implementation of data governance policies and data operating model

Expertise required:

• Requirements gathering from Data consumer on data requirements ( specific details  - complete, timeliness and accuracy specifications)
• Define data controls requirements
• Document purpose of the data usage and data sharing agreements
• Ability to understand meta data – lineage, definitions and trusted data sources
• Ability to search and consolidate critical data elements information in meta data tools
• Review meta data and highlighting gaps in meta data
• Consolidating Data Concerns for each use case or project
• Perform/Validate root cause analysis
• Drive remediation strategy and collaborate with technology/ data stewards
• 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

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
• Good process/project management skills
• Directly manage team of DQ analysts and involve very closely in day to day work.
• Help team members in understanding requirements for all DQ deliverables/ ad-hoc requests and provide required support for execution
• Having productive team meetings, 1-on-1 meetings regularly with all team members
• Develop and maintain project management trackers and provide regular updates to managers, senior leadership team and stakeholders.
• Provide all the support to Data Governance/Data Stewards including Partner / stakeholder management, expectations settings with partners, prioritization of work to team members, and act as Data and functional SME.
• 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