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Sr. Lead, Alternatives Data Operations

Addepar
CompanyAddepar
CategoryOperations & Admin
LocationPune
RemoteOn-site (inferred)
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted15 Jul 2026
Last verified3 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo.  The Role Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. As a Senior Lead of the Alternatives Data Operations, you will lead the operations function that is responsible for the human-in-loop review of Private Funds documents, ensuring clients' Alternatives data is processed, validated, and available in Addepar in a timely manner. You will manage a team of Alternatives Data Ops analysts who review Private Fund statements, modify data that has been incorrectly extracted by our machine learning models, and reprocess data within SLAs. In this role, you'll own the operational strategy, team performance, and continuous improvement of the Alternatives Data Ops function—a critical component of Addepar's Alternatives offering success. Your responsibilities will include building and scaling a high-performing team, establishing processes and metrics that optimize quality and throughput, managing SLA performance, and serving as the primary liaison between the Alternatives Data Ops team and cross-functional partners including the Alternatives Product Team, Engineering, Client Delivery, and additional personnel across the organization. What You’ll Do Develop and execute a strategic roadmap for Alternatives and Market data operations, aligning with Addepar's business objectives and corporate growth plans. Drive automation and efficiency initiatives, identifying opportunities to reduce manual work, streamline workflows, and scale the team's capacity  Collaborate with senior leadership to understand the organization's evolving needs and ensure the data operations strategy is closely aligned with these goals. Own operational strategy and metrics, establishing KPIs around data quality, processing speed, and client satisfaction—identifying trends, bottlenecks, and opportunities for improvement Lead issue resolution and escalation, proactively managing blockers and maintaining alignment with internal stakeholders  Collaborate cross-functionally with Product, Engineering, and Client Solutions to implement new processes and tooling that improve the data processing experience and increase operational efficiency Operational Management: Oversee the spectrum of operational workflows for alternatives data and market data feeds, ensuring smooth execution and rapid issue resolution. Maintain effective process controls to ensure quality standards, and organizational objectives and deliverables are achieved. Establish, monitor, and report on Service Level Agreements (SLAs) for data delivery, ensuring consistent and timely provision of accurate data to internal and external stakeholders. Implement robust KPI tracking, metrics and analytics to measure operational effectiveness, resource u
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