Top Tech Jobs & Startup Jobs in Mumbai

The Executive Director will lead the Data & Analytics team, drive global data strategy, oversee data delivery, and partner with various business functions to enhance AI and data capabilities.

The Vice President, IT Data Analytics leads analytics engineering to enable AI-driven solutions, manages data pipelines, and collaborates across teams to enhance business intelligence and analytics capabilities.

Perform end-to-end migrations of alternative asset portfolios into eFront, validate accounting bases (GAAP/STAT/IFRS), load historical performance data, maintain migration documentation and runbooks, support controls and change management, and partner with controllers and operations to ensure accurate accounting and regulatory reporting for insurance clients.

Lead strategic development of data quality frameworks and controls within BlackRock's data ecosystem, ensuring reliable and accurate data for decision-making.

Deliver timely performance reporting and risk metrics for private equity portfolios. Monitor and analyze investment, portfolio and fund performance; produce monthly/quarterly/ad hoc reports and investor data requests; maintain data integrity across systems; coordinate with Valuation, Fund Accounting, Investor Relations, Compliance and Portfolio Managers; assist with operational due diligence and support new product launches and custom client servicing.

Lead a team delivering private equity performance reporting and risk metrics for internal portfolio managers and external investors. Oversee preparation and review of quarterly and ad hoc investor reports, coordinate with Valuation, Fund Accounting, Investor Relations and Operations, ensure data and reporting accuracy, mentor staff, support operational due diligence, and handle complex client inquiries.

As Vice President, you'll lead efforts in creating and maintaining index capabilities, ensuring error-free production processes, and managing a team of Business Analysts. You'll also collaborate with engineering and research teams to develop index methodologies and validate corporate actions data.

Lead design and delivery of scalable data pipelines and platforms for structured and unstructured data. Own end-to-end ingestion, transformation, orchestration, storage, and serving for analytics and AI use cases. Architect data models and reusable components, enforce engineering best practices, implement data quality/observability, optimize cloud workloads, mentor junior engineers, and partner with cross-functional teams to deliver enterprise-scale data products.

Lead design and delivery of a scalable data quality platform: build services/APIs for rule execution, profiling, validation, reconciliation, observability, and metadata-driven controls; optimize high-volume queries; partner across platform, governance, and product teams; mentor engineers and set enterprise architectural direction.