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Niche investment-data, Snowflake and private-markets specialization reduces applicant density despite Gurgaon metro.
Requires deep private-markets investment and data-ops expertise, limiting cross-industry transferability.
Explicit 8-12 years plus mandatory investment-data domain and Snowflake/Azure/SQL tech requirements create strict filters.
Lead and supervise Business Analysts and Data Operations teams to ensure investment data quality, accuracy, and timely delivery.
Manage multiple project workstreams including data reconciliation, migration, transformation, and governance across investment data platforms and stakeholders.
Drive strategic data transformation initiatives and automation using Azure Cloud technologies, Snowflake, Python, and implementation of investment data ingestion pipelines.
8-12 years of relevant work experience in investment data operations or related fields.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, MCA, or related discipline.
Strong expertise in private markets investment data, reconciliation, data migration, and governance frameworks.
Hands-on experience with advanced SQL, Snowflake, Azure Data Services, Python scripting, and enterprise platform integration (e.g., SharePoint, Microsoft Graph API).
Experienced leader with proven track record managing Business Analyst or Data Operations teams in investment domain.
Deep knowledge of private market fund structures, commitments, capital flows, NAV, and valuation metrics with data validation proficiency.
Operational focus on end-to-end investment data lifecycle including quality control, remediation, automation using AI/LLM, and stakeholder collaboration across business and technology domains.