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Data Scientist Delivery Manager Jobs (NOW HIRING)

Weekday AI

AI Delivery Manager

New York, NY · On-site

Data science and ML model deployment * AI-driven automation and transformation programs * Ensure timely delivery, quality, and cost efficiency across engagements Client & Stakeholder Management * Act ...

NexDimension

Senior Data Scientist

San Francisco, CA · On-site

$150 - $200/hr

... manage the lifecycle of a model, retraining, replacing or sunsetting models when appropriate. * Shares and collaborates with other data scientists. * Delivers best-in-class software as part of a ...

Weekday AI

Manager-AI Delivery

New York, NY · On-site

AI Delivery Manager (10-15 Years Experience) Location: NYC, NY - ONSITE Role Overview We are ... Deployment of data science and machine learning models * AI-driven automation and business ...

Solvd, Inc.

$125 - $150/hr

Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches -- from data exploration and ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

As a Delivery team, this Department uses industry leading data science and change management practices to drive transition to the sustainable grid of the future. The Department works cross ...

Smart Data

Data Scientist III

Chantilly, VA · On-site

$135K - $180K/yr

Data Scientist III Chantilly, VA (on-site at client facility) Full-Time, Long-Term Contract (1-Year ... Deliver thorough, polished work products requiring only minor revision - Proactively manage ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

Responsibilities : • A Data Scientist represents an effective arbiter of strong technical ... equivalent project management process Company : VTG delivers force modernization and digital ...

Cherokee Federal

Data Scientist

Atlanta, GA · On-site

$80 - $100/hr

... health services delivery, and data-driven decision-making. The Data Scientist I develops ... Product Management, User Experience, subject-matter experts, and other business units to develop ...

Socket.dev

Data Scientist

Atlanta, GA · On-site

$80 - $100/hr

... health services delivery, and data-driven decision-making. The Data Scientist I develops ... Product Management, User Experience, subject-matter experts, and other business units to develop ...

campus4tech

Data Scientist

Manhattan, NY · On-site

... and delivering advanced data science and AI/ML solutions in an agile environment, with a focus on ... who will collaborate to build models, manage data pipelines, and ensure scalable data ...

Elder Research

Data Scientist

Arlington, VA · On-site

$80 - $100/hr

As a Data Scientist , you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve ...

Redhorse Corporation

Lead Data Scientist

Arlington, VA · On-site

They are seeking a Lead Data Scientist to manage a delivery team focused on predictive maintenance work and data analysis for government aircraft platforms. Responsibilities : • Manage a Data ...

Pantheon Data

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Pantheon Data was founded in 2011, initially providing acquisition and supply chain management ... Position Overview The Data Scientist designs and develops advanced analytical models to support ...

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

Data Infrastructure Management: Maintain and optimize data pipelines, ensuring data integrity ... Deliver clear, actionable insights to non-technical stakeholders, supporting business units in ...

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Data Scientist Delivery Manager information

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$243.5K

How much do data scientist delivery manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data scientist delivery manager in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a data scientist delivery manager?

A Data Scientist Delivery Manager is a professional who oversees the successful delivery of data science projects within an organization. They bridge the gap between data science teams and business stakeholders, ensuring that projects are completed on time, within scope, and align with business objectives. Their responsibilities often include project management, team coordination, resource allocation, and communication of project progress and results. They also help translate complex technical concepts into actionable business insights. This role is crucial for maximizing the impact of data science initiatives in a business setting.

How does a data scientist delivery manager typically balance technical project oversight with stakeholder communication?

A Data Scientist Delivery Manager is responsible for ensuring that data science projects progress smoothly from conception to deployment, which involves a unique balance of technical leadership and effective communication with stakeholders. On a daily basis, they coordinate with data scientists and engineers to monitor project milestones, address technical challenges, and maintain quality standards, while also translating complex findings into actionable insights for non-technical stakeholders. Regular status meetings, clear documentation, and proactive risk management are essential aspects of the role. This dual focus helps bridge the gap between technical teams and business objectives, ensuring successful project delivery.

What are the key skills and qualifications needed to thrive as a data scientist delivery manager, and why are they important?

To thrive as a Data Scientist Delivery Manager, you need expertise in data science methodologies, project management, and a relevant degree in computer science, statistics, or a related field. Familiarity with analytics platforms (like Python, R, and SQL), cloud services (such as AWS or Azure), and project management tools (like Jira or Trello) is typically required, along with certifications like PMP or Agile. Strong leadership, communication, and stakeholder management skills help bridge the gap between technical teams and business objectives. These skills ensure successful project delivery, alignment with organizational goals, and effective team collaboration.

What is the difference between Data Scientist Delivery Manager vs Data Scientist?

AspectData Scientist Delivery ManagerData Scientist
Primary FocusManaging project delivery, team coordination, client communicationAnalyzing data, building models, deriving insights
Required SkillsProject management, leadership, communicationStatistical analysis, programming, data modeling
Work EnvironmentCross-functional teams, client-facing rolesData analysis, research, development teams
CertificationsProject management (PMP, Scrum), data analytics certificationsData science certifications (CDS, DASCA), programming skills

The Data Scientist Delivery Manager focuses on overseeing data projects and managing teams, while the Data Scientist primarily conducts data analysis and model development. Both roles require strong analytical skills, but the Delivery Manager emphasizes project coordination and client interaction.

What cities are hiring for Data Scientist Delivery Manager jobs?

Cities with the most Data Scientist Delivery Manager job openings:

What states have the most Data Scientist Delivery Manager jobs?

States with the most job openings for Data Scientist Delivery Manager jobs include:

What are popular job titles related to Data Scientist Delivery Manager jobs?

For Data Scientist Delivery Manager jobs, the most frequently searched job titles are:

Data Scientist Delivery Manager jobs near you

AI Delivery Manager

New York, NY • On-site

Weekday AI
See more jobs at Weekday AIexternal

Full-time

Re-posted 27 days ago

Job description

This role is for one of the Weekday's clients

JobType: full-time

Job Title: AI Delivery Manager (10-15 Years Experience)

Location: NYC, NY - ONSITE

Role Overview

We are seeking an experienced AI Delivery Manager to lead end-to-end delivery of AI/ML and GenAI-driven programs across enterprise clients. The ideal candidate will bring strong global delivery leadership, large-scale program management, and hands-on exposure to AI/ML/GenAI initiatives.

This role requires a blend of technical depth, stakeholder management, and execution excellence, with a focus on scaling AI solutions from POC to production.

Requirements

Key Responsibilities

AI Program Delivery

  • Lead end-to-end delivery of AI/ML and GenAI programs, from ideation and POC to production deployment
  • Manage multiple AI initiatives including:
    • LLM applications (RAG, agents, copilots)
    • Data science and ML model deployment
    • AI-driven automation and transformation programs
  • Ensure timely delivery, quality, and cost efficiency across engagements

Client & Stakeholder Management

  • Act as a trusted advisor to enterprise clients across data-intensive domains
  • Collaborate with senior stakeholders (CTO, CIO, Product Heads) to define AI strategy and roadmap
  • Drive account growth and expansion opportunities

Delivery & Program Management

  • Manage large-scale, multi-million dollar portfolios/programs
  • Lead distributed/global teams across engineering, data science, and product
  • Establish delivery governance, KPIs, and reporting mechanisms
  • Ensure adherence to Agile/Scrum methodologies and best practices

AI & Technology Leadership

  • Work closely with AI/ML teams on:
    • Model development lifecycle
    • MLOps and deployment strategies
    • Data pipelines and cloud infrastructure
  • Drive adoption of:
    • GenAI tools (LangChain, LlamaIndex, OpenAI, etc.)
    • Cloud platforms (AWS/GCP/Azure)
  • Provide guidance on solution architecture for AI systems

Transformation & Innovation

  • Lead AI-led digital transformation initiatives
  • Identify opportunities to:
    • Automate legacy systems
    • Improve efficiency using AI
    • Reduce operational costs via intelligent solutions

Required Qualifications

  • 10-15 years of experience in delivery/program management
  • Proven track record in managing large-scale enterprise programs
  • Hands-on exposure to AI/ML/GenAI projects (minimum 1-3 years)
  • Strong experience in:
    • Global delivery models
    • Stakeholder management
    • Budget and portfolio ownership
  • Background in data platforms or large-scale enterprise systems is highly preferred
Must-have skills

AI model deployment

MLOps

Data science delivery

Good-to-have skills

AI/ML Program Manager

AI Product Delivery Manager

Data & AI Program Manager

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