AI Technical Project Manager

Tech Genius inc

Atlanta (GA)

On-site

USD 140,000 - 180,000

Full time

3 days ago
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Job summary

Deluxe Corporation is seeking an experienced AI Technical Project Manager to drive AI/ML and enterprise technology initiatives from initiation to deployment. You will coordinate cross-functional teams, manage risks, and ensure outcomes align with business objectives across complex programs.

The role requires 13+ years in technical project management within enterprise tech or AI-focused programs, strong AI/ML expertise, and proven Agile/Waterfall experience.

Qualifications

  • 13+ years of experience managing complex technical projects in enterprise tech or AI-driven programs.
  • Strong understanding of AI/ML project lifecycles from data prep to deployment and monitoring.
  • Experience in payments/fintech or related financial services domains.
  • Hands-on experience with Generative AI, LLMs, RAG, NLP, or ML platforms.
  • Proficient in Agile/Scrum and Waterfall methodologies.
  • Experience leading AI/ML engineers, data scientists, software engineers, and DevOps.
  • Excellent stakeholder management and cross-functional leadership.
  • Experience working with distributed teams, vendors, and partners.
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Strong SDLC, CI/CD, API integrations, and enterprise app architecture knowledge.
  • Excellent reporting and documentation skills.

Responsibilities

  • Lead end-to-end AI/ML and enterprise technology project delivery from initiation to deployment.
  • Define scope, objectives, timelines, budgets, and resource needs.
  • Collaborate with AI engineers, data scientists, software engineers, architects, and stakeholders to execute projects.
  • Coordinate model development, data integration, API work, testing, deployment, and production rollout.
  • Ensure AI solutions meet business, security, and architectural standards.

Skills

13+ years project management
AI/ML lifecycles
Payments industry
Generative AI/LLMs/RAG/NLP
Agile/Scrum/Waterfall
AI/ML team leadership
Stakeholder management
Distributed teams & vendors
Cloud platforms (AWS/Azure/GCP)
SDLC/CI/CD/API integrations
Reporting & documentation

Education

PMP/PMI-ACP/CSM certification

Tools

Jira
Confluence
MS Project
Smartsheet

Job description

Deluxe Corporation is seeking an experienced AI Technical Project Manager to support ongoing and upcoming AI, machine learning, and enterprise technology initiatives. The ideal candidate will have 13+ years of experience managing complex technical projects, with a strong understanding of AI/ML technologies, Agile methodologies, and enterprise application delivery.

The Project Manager will be responsible for leading end-to-end project execution, coordinating cross-functional teams, managing project risks and dependencies, and ensuring the successful delivery of AI-driven solutions aligned with business objectives.

Required Skills & Experience
  • 13+ years of experience in technical project management, preferably within enterprise technology or AI-driven programs.
  • Strong understanding of AI/ML project lifecycles, including data preparation, model development, testing, deployment, and monitoring.
  • Strong experience in the Payments industry, including Merchant Services, Payment Processing, FinTech, Digital Payments, Banking, or Embedded Payments.
  • Hands-on experience working with AI technologies such as Generative AI, LLMs, RAG, NLP, or Machine Learning platforms.
  • Strong experience with Agile/Scrum and/or Waterfall project management methodologies.
  • Experience managing technical teams comprising AI/ML engineers, data scientists, software engineers, and DevOps professionals.
  • Strong stakeholder management, communication, and leadership skills.
  • Experience working with distributed teams, third-party vendors, and technology partners.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Experience with project planning, budgeting, resource allocation, risk management, and delivery governance.
  • Strong understanding of SDLC, CI/CD, API integrations, and enterprise application architecture.
  • Excellent reporting, documentation, and problem-solving skills.
Key Responsibilities
AI & Technical Project Delivery
  • Lead end-to-end delivery of AI/ML and enterprise technology projects from initiation through implementation.
  • Define project scope, objectives, deliverables, timelines, budgets, and resource requirements.
  • Collaborate with AI engineers, data scientists, software developers, architects, and business stakeholders to ensure successful project execution.
  • Coordinate AI model development, data integration, API development, testing, deployment, and production rollout activities.
  • Ensure AI solutions align with business requirements, technical standards, and organizational objectives.
Project & Stakeholder Management
  • Manage project schedules, milestones, dependencies, risks, issues, and change requests.
  • Coordinate with internal teams, business stakeholders, and external vendors to ensure timely delivery.
  • Conduct project status meetings and provide regular updates to leadership.
  • Identify delivery risks and implement mitigation strategies.
  • Manage multiple concurrent projects and prioritize competing business requirements.
Governance & Compliance
  • Ensure adherence to enterprise project management standards, SDLC processes, and delivery governance.
  • Collaborate with security, compliance, and architecture teams to ensure responsible and secure AI implementation.
  • Track project KPIs, budgets, resource utilization, and overall delivery performance.
  • Maintain project documentation, RAID logs, project plans, and executive-level reports.
Preferred Qualifications
  • PMP, PMI-ACP, or Certified ScrumMaster certification.
  • Experience managing AI transformation or enterprise GenAI initiatives.
  • Experience with Jira, Confluence, MS Project, Smartsheet, or similar project management tools.
  • Experience with AI governance, data privacy, model risk management, and responsible AI practices.
  • Prior experience in financial services, payments, insurance, or other enterprise environments.
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