Manager, Data Operations
Addepar
| Company | Addepar |
| Category | Operations & Admin |
| Location | Pune |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 11 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
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
We are currently seeking a Manager - Data Operations to lead our core Investment Book of Records (IBOR) Operations and Portfolio Data Operations (PDO) functions. This critical leadership role is responsible for ensuring Addepar's clients receive timely and high-quality data across both products. The manager will be instrumental in transforming, defining, and scaling these two core Data Operations functions for long-term efficiency and product success. This position sits at the nexus of Addepar's activity, requiring strong collaboration with data providers, clients, and internal partners across the firm. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.
What You’ll Do
Provide leadership, mentorship, and supervision to the Data Operations teams, fostering career development and team performance aligned with business objectives.
Oversee and manage daily operational workflows for both Portfolio Data Operations and IBOR functions to ensure timely and high-quality data delivery.
Lead the investigation and root cause analysis of all reconciliation breaks to drive permanent, systematic solutions, while overseeing necessary adjustments and escalations.
Own the overall quality, accuracy, and timely delivery of the daily processing cycle, ensuring all service agreements are met.
Lead the development and maintenance of effective process controls and accurate metrics to ensure quality standards, track break trends, and guarantee Service Level Agreement (SLA) adherence.
Provide expert guidance and oversight on critical processes
Partner with Product and Engineering teams to design, test, and implement new tooling features and scalable processes, driving operational efficiency and automation initiatives.
Coordinate operations and shift handoffs across global teams (e.g., Pune and US) to ensure continuity of daily operations.
Collaborate with leads across different organizations on new data-related initiatives and product offerings.
Who You Are
A proven leader with a consistent track record of planning, designing, and leading multiple processes, people, and projects simultaneously.
Demonstrated experience driving large-scale operational change and cross-functional projects, specifically implementing automation and new data tooling.
7+ years of progressive experience and a consistent track record in financial services, specializing in securities modeling, post-trade processing, or trade-surveillance systems.
Deep markets and instrument knowledge covering Equities (trade settlement T+0/T+1/T+2, OMS-to-IBOR trade flows), Fixed Income (bond maturity, coupon payments, accrued interest, callable bonds, rate schedules), and Corporate Actions (ex-date vs. settlement date processing, single-entry and multi-entry event types).
Expertise in the reconciliation process, including position reconciliation, transaction reconciliation (trade date, settlement date, symbol, quantity, net amount matching), and cash reconciliation. Strong understanding of tolerance-based matching, rule-based sequential matching, and break lifecycle management (ident