Assistant Vice President (AVP)- Data Governance
MUFG Bank, Ltd.
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About the rolePosition Title: Assistant Vice President (AVP)- Data Governance
Corporate Title: AVP
Internal Tile: Manager/ AVP
Location- MGS - Bangalore
Experience - 7+ years of relevant work experience. Job responsibilities:- Provide subject matter expertise and support on Data Quality Monitoring, data governance, and banking data-related matters.
- Review and support functional and technical documentation, including Data Dictionary, Key Data Elements, data lineage, and DQM business rules.
- Perform data analysis, investigation, reporting, and issue resolution for DQM errors, incidents, deficiencies, and stakeholder queries.
- Identify, manage, escalate, and communicate data quality issues with local, regional, and global stakeholders in a timely manner.
- Gather and clarify business and user requirements, and translate them into practical DQM, reporting, or data-related solutions.
- Design, build, or enhance DQM components and analytics outputs using approved tools such as Alteryx, Python/R, Tableau, or equivalent platforms.
- Apply data warehouse, structured data, AI, and analytics knowledge to support data quality analysis, insight generation, automation, and process improvement.
- Prepare and distribute weekly and monthly metrics, dashboards, management reports, and other data quality updates as required.
- Support ad-hoc data-related tasks, change initiatives, and continuous improvement activities as required.
- Minimum 7 years of overall experience, preferably in data governance, data quality management, compliance, financial crime, banking operations, or banking data-related roles.
- At least 2 years of hands-on experience in data analysis, investigation, reporting, dashboarding, or issue resolution using tools such as Alteryx, Python/R, Tableau, or equivalent analytics tools.
- Good understanding of Data Quality Monitoring and data governance concepts, including Data Dictionary, Key Data Elements, data lineage, data quality rules, and business rules.
- Working knowledge of data warehouse concepts, structured data, AI, and analytics tools, including Generative AI, Microsoft Copilot, prompt writing, and AI-powered insight generation.
- Strong technical, analytical, problem-solving, and attention-to-detail skills, with the ability to investigate data issues and recommend practical solutions.
- Good communication and stakeholder management skills, with the ability to work effectively with local, regional, and global teams.
- Ability to work independently with minimal supervision, manage assigned tasks effectively, and support multiple priorities.
- Flexibility to work across time zones and support ad-hoc data-related tasks or initiatives when required.
- Proficiency in Microsoft Office applications.
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