Team Lead, ADM Ops

Addepar
Pune, India
On-site

Who this role is best for

Finance professionals with team leadership experience and expertise in private fund data operations will find this role in data validation and AI integration appealing, particularly in a global environment requiring cross-team collaboration.

Best fit for

  • Candidates with domain expertise in private fund accounting and a track record in leading data teams
    — “Subject Matter Expert (SME) supporting the team on complex Schedule of Investments (SOI) processing”
  • Individuals with experience in financial investment/advisory industry and middle/back-office systems
    — “Experience in the financial investment/advisory industry with strong knowledge of capital markets, middle/back-office operations systems”
  • Professionals capable of managing high-volume data workflows during peak periods
    — “driving effective work allocation, daily queue management (Monday.com), and SLA compliance across peak quarter-end processing periods”

Things to consider

  • No visa sponsorship available, requiring legal authorization to work in India on the first day of employment
    — “Applicants must have legal authorization to work in the country where this role is based on the first day of employment”
  • Role demands flexible hours to accommodate global stakeholders across US and EMEA time zones
    — “Willing to work in overlapping US/EMEA shifts or flexible hours to align with global stakeholders”

How to stand out

  • Highlight experience with AI/ML extraction tools and data validation processes in your resume and interview responses
    — “This white-glove solution combines proprietary AI/ML extraction technology with human-in-the-loop review”
  • Demonstrate your skills in resolving complex data discrepancies and mapping issues
    — “Guide and oversee the team in troubleshooting complex extraction errors across pipeline stages”
  • Showcase your experience in collaborating across Product, Engineering, and ML teams for process improvements
    — “Partner with Product, Engineering, and AIP teams to enhance operational efficiency”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • driving team performance metrics
  • leading ML model retraining initiatives
  • collaborating across Product, Engineering, ML Operations, and Client Success teams
Typical background
data operationsteam managementdata validation

Skills & requirements

Required

Team ManagementPerformance MetricsData ValidationProcess OptimizationData Entity MappingML Model RetrainingPipeline MonitoringClient Communication

Preferred

Ai/ml Extraction TechnologyHuman-in-the-loop Review

Stack & domain

Ai/mlData ExtractionPipeline MonitoringData Entity MappingML Model RetrainingPipeline ToolingTeam ManagementPerformance Metrics TrackingProcess OptimizationCollaborationTroubleshootingQuality ControlFinanceInvestment OperationsClient SuccessProduct ManagementEngineering

About the role

Original posting from Addepar via Greenhouse

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 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.

The Role

Addepar's Private Fund Look-Through (PFLT) offering gives clients deep visibility into the underlying holdings of their private fund investments by extracting holding-level data directly from GP financial statements—primarily the Schedule of Investments (SOI). This white-glove solution combines proprietary AI/ML extraction technology with human-in-the-loop review to ensure maximum accuracy and full portfolio transparency.

As part of the broader Addepar Data organization, the PFLT Data Operations Team Lead is responsible for managing a team of Analysts and Senior Analysts focused on reviewing, validating, and enriching complex fund holding data within target SLAs. This role acts as a domain subject matter expert, overseeing exception resolution, pipeline monitoring (Databricks, Retool, Monday.com), and data entity mapping. You will play a pivotal role in driving team performance metrics, leading ML model retraining initiatives, and collaborating across Product, Engineering, ML Operations, and Client Success teams.

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

Lead and manage a team of PFLT Analysts & Senior Analysts, driving effective work allocation, daily queue management (Monday.com), and SLA compliance across peak quarter-end processing periods.

Track and drive key team performance metrics, including SLA compliance, processing accuracy, and throughput.

Support operational workflows, playbooks, and standard operating procedures (SOPs) for private fund Look-through processing.

Identify opportunities for process optimization, standardization, and automation across the pipeline.

Act as a Subject Matter Expert (SME) supporting the team on complex Schedule of Investments (SOI) processing, special asset classes (e.g., crypto/token assets, real estate), and intricate fund accounting mechanics (e.g., PQ reconciliation, derived metric calculations, corporate actions).

Guide and oversee the team in troubleshooting complex extraction errors across pipeline stages and front-end verification checks.

Perform quality control reviews and high-level audits to assist the team in correcting improperly extracted or mapped holdings data.

Serve as the primary escalation point for data quality discrepancies, pipeline failures, and complex mapping issues (SOAP UI, GSM Search, PitchBook).

Partner with Product, Engineering, and AIP teams to enhance operational efficiency by identifying extraction errors, curating edge-case datasets for AI model retraining, and refining pipeline tooling and UI (Retool/Databricks).

Engage directly with clients, GPs, and Fund Administrators to resolve technical data inquiries, document discrepancies, and reporting edge cases.

Who You Are

Minimum 5+ years of experience in a relevant role and domain

Minimum 2+ years of people Team leader experience

Bachelor’s or Master’s degree in Finance, Business Administration, Commerce, Economics, or a related field

Experience in Private equity / Alternatives investment process

Experience in the financial investment/advisory industry with strong knowledge of capital markets, middle/back-office operations systems, and preferably with experience dealing with Alternatives (Private/Draw-down) Funds reporting statements and data

Track record of demonstrating excellent attention to detail, effective problem-solving skills, and an ability to thrive in a fast paced environment

Outstanding communication and interpersonal skills for engaging clients, data providers, and internal stakeholders across Sales, Services, and R&D

Highly self-motivated to take on responsibility, forward thinking and pragmatic, and possess a collaborative team-player mentality

Technical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Salesforce, or other common financial services systems and applications

Willing to work in overlapping US/EMEA shifts or flexible hours to align with global stakeholders

Our Values 

Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.

Build Together - Collaborate to unlock the best solutions. Deliver lasting value. 

Champion Our Clients - Exceed client expectations. Our clients’ success is our success. 

Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. 

Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. 

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.

Source: Addepar careers (Greenhouse)

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