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Project Manager (EXL99)

ExlService.com, LLC

Remote · USFull-time$173–180K/yrSeen 1w agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$173–180K/yr
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

EXLService.com seeks a Project Manager to lead analytics projects from problem definition through solution delivery. The role includes developing machine learning models, data pipelines, dashboards, and automated reporting; managing project deliverables and stakeholder readiness; and supporting BI deployments in client environments. The position may involve work at various U.S. worksites, and telecommuting is permitted.

Skills & qualifications

RequiredNice to have

Skills

Python, requiredR, requiredGoogle Suite, requiredSQL, requiredStatistical Modeling, requiredMachine Learning, requiredLinear Regression, requiredLogistic Regression, requiredDecision Trees, requiredRandom Forest, requiredAdaBoost, requiredXGBoost, requiredLinear Optimization, requiredMachine Learning Frameworks, requiredGoogle Cloud Platform, requiredGitHub, requiredGitLab, requiredLooker, requiredDBT, required

Qualifications

Bachelor's in Quantitative Field, requiredSix Years Professional Experience, requiredFive Years Python or R Experience, requiredFive Years Google Suite Experience, requiredFour Years SQL Experience, requiredFour Years Statistical Modeling and Machine Learning Experience, requiredThree Years Machine Learning Frameworks Experience, requiredThree Years Google Cloud Platform Experience, requiredThree Years GitHub or GitLab Experience, requiredTwo Years Looker Experience, requiredTwo Years DBT Experience, required

Full job description

Company: EXLService.com, LLC Location: New York, NY Position Title: Project ManagerJob Description:Derive business and data requirements of various business stakeholders and create data tables, pivots, visualizations for in-depth descriptive analysis. Define project deliverables, milestones, success metrics, and technical standards (data sources, modeling approach, validation), ensuring on-time and high-quality delivery. Design, develop, and deploy machine learning models including regression, classification, clustering, and time-series forecasting using analytics tools and techniques like SQL, Python, AI, ML, etc. to address various business problems. Lead data preprocessing, feature engineering, validation, and quality assurance to ensure accuracy and reliability of analytical outputs. Develop automated reporting solutions, interactive dashboards, and KPI monitoring tools using Looker, Power BI, Tableau, or similar visualization platforms and communicate insights that drive measurable outcomes. Develop comprehensive email and notifications marketing plans that align with business goals, while also driving engagement, conversion rates, and customer retention. Own end-to-end project execution from problem definition through solution delivery, overseeing data pipelines, modeling logic, dashboard development, accuracy, and stakeholder readiness. Optimize database performance, write complex SQL queries, and improve query efficiency for large datasets. Deploy machine learning models into production environments using cloud infrastructure (GCP) and implement monitoring for model performance and drift. Support deployment, enhancement, and ongoing maintenance of BI solutions in client environments. Review analytical outputs for accuracy, performance, and business relevance, ensuring adherence to data quality, governance, and other established best practices. Document technical methodologies, transformation logic, model assumptions, validation procedures, and reporting definitions. Contribute to business development by shaping technical approaches, estimating effort, defining analytics roadmaps, and supporting account growth. Hire, train, and mentor high-performing analytics resources, building technical capability aligned with client needs and long-term scalability. Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.Job Requirements:Requires Bachelors degree in Engineering, Technology, Computer Science, Data Science, Statistics, Mathematics or a directly related quantitative field Plus Six (6) years of professional experience.Must have the following experience:Five (5) years of experience with: Python or R Google SuiteFour (4) years of experience with: Structured Query Language (SQL) Statistical modelling and Machine Learning algorithms like linear regression, logistic regression, decision tress, random forest, AdaBoost, XGBoost, Linear optimization, etc.Three (3) years of experience with: Machine learning frameworks Google Cloud Platform (GCP) GitHub or GitLabTwo (2) years of experience: Looker DBT40 hours/week, 9:00am-5:00pm, Salary range: $173,000 to $180,000 per yearTo apply: Send resume and cover letter to [email protected]. Must cite job title and code EXL99 in response. This notice is subject to ExlService.com, LLC's employee referral program.

How this job compares

Set against the 22,516 open Project Manager jobs on Olive Jobs, counted November 11, 2026.

Pay
  • This posting$173–180K/yr
  • New York median$106–157K/yr897 salary ranges
  • US median$107–175K/yr14,281 salary ranges

This range's midpoint, $177K, is 33% above the New York median midpoint ($133K) — in the top quarter of Project Manager salary ranges in New York.

Openings
Olive Jobs lists 1,225 open Project Manager jobs in New York and 22,516 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 6 years of experience; Project Manager postings that state a minimum ask for 6 years at the median (19,402 postings).
Education
11,470 of the 22,516 open Project Manager jobs (51%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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