Key Skills: Collibra, Finance, Python, ETL, Data Governance, Databricks

Roles and Responsibilities:

- Define and advance the CIM Data Governance roadmap, including data standardization, quality improvement, lineage, KPI harmonization, and reporting modernization.
- Own end-to-end delivery of governed data assets, including deep data profiling, financial data analysis, and writing ETL transformation logic in Python.
- Design data models and standardized, governed data layers that support reporting-ready datasets and semantic models.
- Establish and enforce data definitions, lineage, naming conventions, and quality rules; drive remediation and documentation practices.
- Collaborate with Technology, Architecture, Engineering, BI, and Governance teams to ensure alignment and scalable implementation for long-term maintainability.

Skills Required:

- 11 - 13 years of experience in finance/investment data,



analytics engineering, BI, or data strategy.
- ETL development and delivery of data pipelines for analytics and reporting.
- Data governance leadership, including standards, lineage, metadata, and quality rule enforcement.
- Python for data transformations, validation, reconciliation, and documentation.
- Finance domain knowledge to support investment/finance processes and accurate reporting outputs.
- Collibra experience for governance workflows, metadata, and governed data management.

Positive to Have:

- Databricks experience for building and scaling data assets and transformation workflows.

Education: Relevant degree (or equivalent experience) in a quantitative field.

📌 Data Strategy Advisor (Hyderabad)
🏢 Careernet
📍 Hyderabad