Data Governance Analyst (Data Lake)

To be successful as a Data Governance Analyst (Data Lake) you should have experience with:

1. Data and Record governance, data controls, data lineage and associated methodologies.
2. Experience in data products, cloud and data warehouses
3. Business Domain (Retail or Banking) and Regulatory reporting experience.
4. Working in a regulated environment and solid understanding of data and control risk management.
5. Hands of experience and knowledge around feature ETL, Data Warehousing, Big Data, Dimensional Modelling, Cloud data products
6. Hands-on experience on Data Lineage, Data Profiling, Data Quality Rule Implementation, Business Rules Validation, Identification of Data Errors and Produce/Publish DQ reports
7. Working knowledge in Change Management, Process Excellence, Project Management and functional experience in Data Analysis

Some other highly valued skills may include:

1. Understanding of different technologies around the execution of data control.
2. Ability to proactively drive change.
3. Exceptional stakeholder management skills to be able to maintain collaborative working relationships with key senior stakeholders.
4. Experience of working in multiple large teams delivering complex services involving the highest standards of resilience, risk and governance controls.
5. Proficiency in data analytics and insight generation to derive actionable insights from data.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based out of Pune.

Purpose of the role

To develop, implement, and maintain effective governance frameworks for all data and records across the bank's global operations.

Accountabilities

1. Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards.
2. Monitoring data quality and records metrics and compliance with standards across the organization.
3. Identification and addressing of data and records management risks and gaps.
4. Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records.
5. Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives.
6. Provision of Group wide guidance and training on Data and Records Management standard requirements.