Assistant Manager - Data Governance/Management

Crisil; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Crisil in Pune is seeking an experienced data operations leader to oversee multiple operation support teams for data and content management, ensuring compliance with guidelines and research tools. You will drive efficiency through agile practices, develop procedures, guide talent, and push advanced analytics with Python, SQL, Power BI and GenAI to enhance reporting.

Strong data governance and quality controls, familiarity with data cataloging concepts, and the ability to work under tight

Qualifications

• Master’s degree in finance or equivalent.
• Minimum 5 years in data operations, analytics, or finance with 1 year in a managerial role.
• Strong understanding of financial principles and data management practices.
• Proficient in automation tools and SQL.
• Excellent leadership, communication, and interpersonal skills.
• Ability to work under pressure and meet tight deadlines.

Responsibilities

• Oversee multiple operation support teams for data/content management activities.
• Ensure compliance with guidelines, policies, and research tools during data collection.
• Develop and implement operational procedures and best practices with Agile methods.
• Manage performance reviews, career guidance, and talent development.
• Leverage Python, SQL, Power BI, GenAI, PySpark to enhance data processing and reporting.
• Implement quality control to meet standards and stakeholder expectations.
• Drive data quality and governance with data lineage, metadata management, and RCA techniques.
• Nice to have: familiarity with data cataloging concepts and ontology-related semantic tech.

Skills

Data operations

Analytics

Finance knowledge

Leadership

Python

SQL

Power BI

GenAI

Pyspark

Education

Master’s degree in finance

Tools

Collibra

Alation

Azure Data Catalog

Job description

Key Responsibilities:

1. Oversee multiple operation support teams/groups for a range of data/content management activities.
2. Ensure team members are compliant when conducting data/information collection through thorough knowledge of guidelines, policies and research tools.
3. Develop and implement operational procedures and best practices to enhance efficiency and productivity through cross collaboration and Agile methodology.
4. Manage the performance review process, Career guidance and talent development.
5. Leverage emerging technologies (e.g., Python, SQL, Power BI, GenAI, PYSPARK) to enhance data processing and reporting capabilities.
6. Implement quality control measures to ensure deliverables meet established standards and stakeholder expectations.
7. Drives data quality and governance through proactive issue resolution, diligent monitoring of data lineage and rules, Metadata management and collaborative engagement with stakeholders to implement efficient solutions- Familiarity with DAMA-DMBOK framework for data management, SIX SIGMA, RCA techniques etc.
8. Nice to have: Experience with data cataloging tools (such as Collibra, Alation, Azure Data Catalog), knowledge of data cataloging concepts, and awareness of the importance of capturing data lineage.
9. Nice to have: Knowledge of semantic technologies (such as RDF, RDFS, OWL, and SPARQL) which are foundational for building Ontologies

Qualifications:

1. Master’s degree preferably in finance or equivalent.
2. Minimum of 5 years of experience in data operations, analytics, or finance, with at least 1 years in a managerial role.
3. Strong understanding of financial principles and data management practices.
4. Proficient in automation tools and technologies specifically SQL.
5. Excellent leadership, communication, and interpersonal skills.
6. Ability to work under pressure and meet tight deadlines.
7. Implement quality control measures to ensure deliverables meet established standards and stakeholder expectations.