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Project Delivery Jobs in Georgia (NOW HIRING)

Deloitte

Scrum Master - Project Delivery Analyst

Atlanta, GA · On-site

$49.50 - $66/hr

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How much do project delivery jobs pay per hour?

As of May 31, 2026, the average hourly pay for project delivery in Georgia is $14.66, according to ZipRecruiter salary data. Most workers in this role earn between $13.61 and $15.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Project Delivery, and why are they important?

To thrive in Project Delivery, you need strong project management skills, a solid understanding of project lifecycle methodologies, and often a relevant degree or certification such as PMP or PRINCE2. Familiarity with project management tools like Microsoft Project, Jira, or Asana is typically required to efficiently track progress and manage resources. Excellent communication, leadership, and problem-solving abilities help foster team collaboration and address project challenges. These skills and qualifications are vital for ensuring projects are delivered on time, within scope, and to stakeholder satisfaction.

How does a Project Delivery professional typically collaborate with cross-functional teams during a project lifecycle?

Project Delivery professionals work closely with cross-functional teams, including stakeholders from IT, operations, and business units, to ensure project objectives are met on time and within scope. They facilitate communication between departments, coordinate resources, and resolve conflicts to keep the project on track. Regular meetings, progress reports, and agile methodologies are commonly used to maintain alignment and address any issues promptly. This collaborative approach is key to delivering successful projects and building strong working relationships across the organization.

What is project delivery?

Project delivery refers to the process of successfully completing and handing over a project from initiation to closure, ensuring all objectives, requirements, and deliverables are met within the agreed scope, time, and budget. It includes planning, executing, monitoring, and finalizing all project activities. Effective project delivery requires strong coordination, communication, and management skills to align stakeholders and resources. Different industries may use various project delivery methods, such as design-bid-build or design-build. The goal is to deliver value and meet client or organizational expectations.

What is the difference between Project Delivery vs Project Coordinator?

AspectProject DeliveryProject Coordinator
Primary FocusEnsuring project completion, managing scope, schedule, and budgetSupporting project tasks, coordinating activities, and communication
Required CredentialsProject management certifications (e.g., PMP), relevant experienceBasic project management knowledge, organizational skills
Work EnvironmentLeadership role, often in construction, IT, or engineering projectsAdministrative support, team coordination in similar industries
Employer UsageProject managers, delivery teams, clientsProject teams, project managers, stakeholders

Project Delivery focuses on leading and managing the entire project to ensure successful completion, while a Project Coordinator provides support by coordinating tasks and communication. Both roles are essential but differ in responsibility level and scope.

What are the most commonly searched types of Project Delivery jobs in Georgia? The most popular types of Project Delivery jobs in Georgia are:
Project Delivery jobs near you
Infographic showing various Project Delivery job openings in Georgia as of May 2026, with employment types broken down into 67% Full Time, 30% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $30,503 per year, or $14.7 per hour.
AI Project / Delivery Manager

AI Project / Delivery Manager

Staff Financial Group

Atlanta, GA • Hybrid

$135K - $175K/yr

Full-time

Posted 18 days ago

Job description

AI Project / Delivery Manager - Atlanta, GA (Hybrid)

About the Role

We are seeking an experienced AI Project / Delivery Manager to lead the planning, execution, and successful delivery of artificial intelligence and machine learning initiatives across the enterprise.

This role bridges the gap between technical implementation and business impact—ensuring AI projects are delivered on time, within scope, and aligned with strategic objectives. The ideal candidate combines strong project management skills, a working knowledge of AI/ML concepts, and the ability to communicate effectively across technical and non-technical teams.

Key Responsibilities

  • Project Ownership: Oversee the full lifecycle of AI projects—from initiation and business case development through deployment and post-implementation review.
  • Cross-Functional Leadership: Partner with Data Science, Engineering, Product, and Business Units to define scope, success criteria, and resource requirements.
  • Delivery Management: Lead agile delivery processes, manage sprint planning, backlogs, and daily standups for AI teams.
  • Stakeholder Communication: Translate complex technical topics (LLMs, MLOps, NLP, computer vision) into clear business value and deliver progress updates to executives.
  • Risk & Quality Management: Identify and mitigate delivery risks related to data, security, or performance. Ensure adherence to DevSecOps, governance, and compliance standards.
  • Vendor & Platform Coordination: Manage third-party AI vendors, SaaS integrations (e.g., AWS SageMaker, Azure AI, OpenAI, or Vertex AI), and platform implementations.
  • Metrics & Reporting: Establish KPIs to track model adoption, ROI, and delivery efficiency.
  • Change Enablement: Support user adoption and training programs for AI-powered tools across departments.

Required Qualifications

  • 5+ years of experience managing software, data, or AI-related projects.
  • Proven experience leading Agile or Scrum delivery teams in a technical environment.
  • Strong understanding of AI/ML fundamentals and lifecycle management (data prep, model training, deployment).
  • Familiarity with cloud AI ecosystems (AWS SageMaker, Azure AI, or Google Vertex AI).
  • Experience working with DevOps or MLOps frameworks.
  • Demonstrated ability to manage multiple concurrent initiatives in complex enterprise environments.
  • Excellent communication, stakeholder management, and executive presentation skills.