Key Responsibilities:

1. Foster robust relationships with internal and external stakeholders, ensuring effective communication, alignment of expectations, timely issue resolution, and successful delivery of team objectives.
2. Oversee multiple operation support teams/groups for a range of data/content management activities.
3. Ensure team members are compliant when conducting data/information collection through thorough knowledge of guidelines, policies and research tools.
4. Develop and implement operational procedures and best practices to enhance efficiency and productivity through cross collaboration and Agile methodology.
5. Manage the performance review process, Career guidance and talent development.
6. Hands-on expertise with workflow and project management tools such as ServiceNow and Azure DevOps (ADO) for incident, change, and task management alongside Miro for collaborative visual planning.

1. Oversee the accuracy and integrity of security identifiers (including ISIN, CUSIP, Ticker etc.) and manage complex cross-domain reference data encompassing organizational hierarchies and instrument-level attributes.

1. Demonstrated expertise in managing complex metadata architectures and generating high-level reporting for large-scale reference datasets; proficient in leveraging CapIQ Plugins for financial analysis and Salesforce for data lifecycle management.

1. Exposure to Automation Technologies including SQL, Gen AI to drive process efficiency and reduce manual interventions.

1.



Implement quality control measures to ensure deliverables meet established standards and stakeholder expectations.
2. Drives data quality through proactive issue resolution, Familiarity with SIX SIGMA, RCA techniques etc.
3. 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.
4. 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 Reference Data, Market Data or finance, with at least 1 years in a managerial role.
3. Strong understanding of data management practices.
4. Proficient in automation tools and technologies, including 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.

Role: Data Science & Analytics - Other, Industry Type: Analytics / KPO / Research, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Graduation Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Reference DataTeamSQL

📌 Assistant Manager - Reference Data (Pune)
🏢 Crisil
📍 Pune