Project Manager

EXL

. Derive business and data requirements from business stakeholders .

Posted 11/10/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $173,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, machine learning model development, and business intelligence solutions. Proficient in SQL, Python, and GCP, with a strong focus on project execution and stakeholder collaboration.

Highest-signal resume keywords

Data AnalysisMachine Learning Model DevelopmentSQL Query WritingBusiness Intelligence SolutionsProject Execution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonRSQLStatistical ModellingMachine Learning AlgorithmsRegression AnalysisClusteringTime-Series ForecastingFeature EngineeringData Preprocessing

Soft Skills

LeadershipMentoringCollaborationCommunicationProblem-Solving

Tools & Technologies

Google Cloud Platform (GCP)LookerPower BITableauGitHubGitLabDBT

Industry Keywords

Data ScienceBusiness IntelligenceAnalytics RoadmapsKPI MonitoringAutomated Reporting

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact

Derive business and data requirements from business stakeholders
Create data tables, pivots, visualizations, dashboards, and KPI monitoring tools
Define project deliverables, milestones, success metrics, and technical standards
Design, develop, and deploy regression, classification, clustering, and time-series forecasting models
Lead data preprocessing, feature engineering, validation, and quality assurance
Develop automated reporting solutions using Looker, Power BI, Tableau, or similar platforms
Develop email and notifications marketing plans aligned with business goals
Own end-to-end project execution from problem definition through solution delivery
Optimize database performance and write complex SQL queries
Deploy machine learning models to production using GCP and monitor performance and drift
Support deployment, enhancement, and maintenance of BI solutions in client environments
Review analytical outputs for accuracy, performance, and business relevance
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 analytics resources

Requirements

What you’ll need

Bachelor’s degree in Engineering, Technology, Computer Science, Data Science, Statistics, Mathematics, or a directly related quantitative field
Six (6) years of professional experience
Five (5) years of experience with Python or R
Five (5) years of experience with Google Suite
Four (4) years of experience with Structured Query Language (SQL)
Four (4) years of experience with statistical modelling and machine learning algorithms, including linear regression, logistic regression, decision trees, random forest, AdaBoost, XGBoost, and linear optimization
Three (3) years of experience with machine learning frameworks
Three (3) years of experience with Google Cloud Platform (GCP)
Three (3) years of experience with GitHub or GitLab
Two (2) years of experience with Looker
Two (2) years of experience with DBT
Ability to work 40 hours/week, 9:00am–5:00pm
Position may work at various and unanticipated worksites throughout the United States

Benefits

Comp & perks

Telecommuting permitted
Employee referral program
EEO/Minorities/Females/Vets/Disabilities protections