Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted yesterday

Project Manager

EXL2,392 open roles

Pay
$173,000 – $180,000 a year
Where
New York, United States
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowProject ManagerEXL · New York, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EXL's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. EXL postings stay open a median of 21 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted yesterday

EXL median: 21 days open

The posting

Job Description

Company: EXLService.com, LLC

Location: New York, NY

Position Title: Project Manager

Job 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.

Responsibilities

  • 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.

Qualifications

Requires Bachelor’s 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 Suite

Four (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 GitLab

Two (2) years of experience:

  • Looker
  • DBT

40 hours/week, 9:00am-5:00pm, Salary range: $173,000 to $180,000 per year

To 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. EEO/Minorities/Females/Vets/Disabilities.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against EXL's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on EXL's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    EXL's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.