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Director Ai Project Management Jobs (NOW HIRING)

$90 - $140/hr

... AI PMO Irvine, United States | Posted on 08/03/2026 AuxoAI helps enterprises transform how they operate by combining business consulting, data, engineering, and Agentic AI. We are building an AI ...

AI Project Manager, CX

OR · On-site +1

This position is ideal for someone looking to grow their project management career in a modern, AI-driven environment. Role Description: * Manage delivery of software and AI-enabled projects under ...

Director, AI Governance

Charlotte, NC · On-site

$227K - $238K/yr

Manage the governance approach and compliance processes that guide the use of AI in products ... technical or project teams and directing and/or influencing teams on emerging technologies ...

Support project management tasks including scheduling meetings, tracking milestones, managing ... AI Solution Fluency: Working knowledge of generative AI tools (ChatGPT, Claude, Copilot) and ...

Prioritizing AI use cases and bringing them to life by driving them through the project management ... Providing direct advice to the C-suite and senior leadership on AI strategy, governance, and ...

This position is ideal for someone looking to grow their project management career in a modern, AI-driven environment. Role Description: * Manage delivery of software and AI-enabled projects under ...

As Project Management Director at McCann New York, you will play a critical role in facilitating ... Integrate AI tools to automate routine tasks, streamline operations, and free teams to focus on ...

As Project Management Director at McCann New York, you will play a critical role in facilitating ... including AI). You will be relied upon to remove obstacles, define solutions, and champion ...

Cleared AI Project Manager

Clifton Park, NY · On-site

$135K - $175K/yr

Provide comprehensive project management for artificial intelligence and computer vision projects ... Direct experience writing and contributing to successful government technical proposals.

$120 - $165/hr

... AI PMO) Irvine, United States | Posted on 08/04/2026 AuxoAI helps enterprises transform how they operate by combining business consulting, data, engineering, and Agentic AI. We are building an AI ...

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Director Ai Project Management information

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$44K

$109.6K

$197.5K

How much do director ai project management jobs pay per year?

As of Sep 5, 2026, the average yearly pay for director ai project management in the United States is $109,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $144,500.00 per year, depending on experience, location, and employer.

What does a director AI project management do?

A Director of AI Project Management oversees the planning, execution, and delivery of artificial intelligence projects within an organization. They coordinate cross-functional teams, manage resources and budgets, and ensure that projects align with business goals and timelines. This role also involves identifying risks, implementing best practices, and keeping stakeholders informed about project progress. The Director plays a key part in shaping the AI strategy and ensuring successful integration of AI solutions.

What are the key skills and qualifications needed to thrive as a director AI project management?

To thrive as a Director of AI Project Management, you need strong expertise in AI technologies, project management methodologies, and a relevant advanced degree, often complemented by certifications like PMP or Agile. Familiarity with AI platforms, machine learning tools (such as TensorFlow or PyTorch), and project management systems (like Jira or Asana) is typically required. Exceptional leadership, strategic thinking, and effective communication are critical soft skills for guiding multidisciplinary teams and stakeholders. These skills and qualities ensure that complex AI projects are delivered successfully, on time, and aligned with organizational goals.

What are some common challenges faced by a director AI project management, and how can they be addressed?

A Director of AI Project Management often navigates challenges such as aligning diverse technical teams, managing shifting project scopes, and ensuring ethical use of AI technologies. Balancing ambitious innovation with realistic timelines can be complex, especially when integrating AI solutions into existing business processes. Effective communication, proactive risk management, and fostering cross-functional collaboration are essential strategies to overcome these obstacles. Additionally, staying updated on regulatory changes and best practices helps ensure successful project outcomes.
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Infographic showing various Director Ai Project Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $109,563 per year, or $52.7 per hour.

US - Program Manager - Data Solutions (AI PMO

AuxoAI Inc.

On-site

$90 - $140/hr

Other

Posted 4 days ago


Key responsibilities

  • Maintain the integrated delivery plan for data migration, conversion, cleansing, reconciliation, and validation activities.

  • Coordinate with cross-functional teams and track dependencies, milestones, risks, issues, and decisions related to data activities.

  • Support data readiness reviews, facilitate issue resolution, and prepare status reports on data conversion progress, quality, and risks.


Job description

AuxoAI Engineering Pvt. Ltd. | Full time

US - Program Manager - Data Solutions (AI PMO

Irvine, United States | Posted on 08/03/2026

AuxoAI helps enterprises transform how they operate by combining business consulting, data, engineering, and Agentic AI. We are building an AI-native consulting model in which every team member is expected to use AI thoughtfully to improve speed, insight, quality, and client outcomes.

What You Will Do
  • Maintain the integrated delivery plan for data migration, conversion, cleansing, reconciliation, and validation activities.
  • Coordinate business data owners, source-system teams, data engineers, functional teams, testing teams, and the System Integrator.
  • Track data objects, conversion cycles, mock loads, entry and exit criteria, defects, reconciliations, and business sign-offs.
  • Manage dependencies between source extraction, transformation rules, Oracle load processes, downstream validation, and cutover sequencing.
  • Facilitate data readiness reviews and drive resolution of quality, mapping, ownership, timing, and environment issues.
  • Prepare concise status reporting on conversion progress, data quality, open defects, reconciliation results, and readiness risks.
  • Support SIT, UAT, business simulation, cutover rehearsals, production migration, and hypercare validation.
  • Ensure decisions, assumptions, mapping changes, and unresolved data issues are traceable and assigned to accountable owners.
AI-Enabled Delivery Responsibilities
  • Use AI to summarize mapping documents, identify conflicting transformation rules, and highlight incomplete data ownership decisions.
  • Generate AI-assisted conversion status narratives, reconciliation summaries, defect themes, and data-quality risk insights.
  • Apply AI to compare source-to-target specifications, workshop decisions, and test evidence for traceability gaps.
  • Develop repeatable prompts or workflows that improve the speed and consistency of data PMO activities.
Common AI-First Expectations at AuxoAI
  • Use enterprise AI tools such as ChatGPT Enterprise, Claude Enterprise, Gemini, or equivalent platforms to accelerate delivery and improve decision-making.
  • Apply AI to automate meeting summaries, action-item tracking, status reporting, executive communications, and document synthesis.
  • Use AI-assisted analysis to identify delivery risks, cross-team dependencies, emerging bottlenecks, and areas requiring leadership attention.
  • Continuously identify PMO activities that can be simplified, standardized, or automated through AI and workflow automation.
  • Validate AI-generated outputs for accuracy, confidentiality, traceability, and business relevance before they are used in program decisions.
  • Collaborate with consulting, data, engineering, and AI teams to pilot and scale AI-enabled delivery practices across the program.
Requirements
  • 4-6 years of experience in project coordination, project management, data delivery, or enterprise transformation.
  • Understanding of data migration concepts including extraction, cleansing, mapping, conversion, validation, and reconciliation.
  • Experience coordinating cross-functional teams and tracking milestones, dependencies, risks, issues, and decisions.
  • Strong Excel, documentation, analytical, and communication skills.
  • Ability to translate technical data issues into clear business and program impacts.
  • Comfort using AI tools to analyze documents, summarize findings, and improve reporting.
Preferred Qualifications
  • Experience with Oracle Fusion data conversion, FBDI, ADFdi, or related Oracle data-load methods.
  • Exposure to SQL, ETL/ELT, Snowflake, Informatica, Oracle Integration Cloud, or similar platforms.
  • Experience supporting mock conversions, reconciliations, SIT, UAT, or cutover.
  • Experience with Jira, Azure DevOps, Power BI, Tableau, Smartsheet, or Microsoft Project.
  • Familiarity with data governance, data quality, and master data management.
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