Project Manager – AI Projects

Job Description: Project Manager – AI Projects 
Role Overview: 
We are looking for an experiencedProject Managerto lead end-to-end delivery of AI/GenAI initiatives and technology projects. You will manage cross-functional teams, drive project execution in Agile environments, and ensure projects are delivered on time, within scope and budget, while achieving measurable business outcomes. 
 
The role requires a strong understanding ofAI project lifecycles, data dependencies, model development, integrations and responsible AI practices. 
 
Key Responsibilities: 

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  Plan and deliver projects:Own end-to-end planning and delivery of AI/GenAI and technology projects from initiation to closure. 

• Lead project ceremonies:Facilitate Agile ceremonies including sprint planning, daily stand-ups, reviews, retrospectives and stakeholder governance. 

• Manage teams and stakeholders:Lead and coordinate cross-functional teams including AI/ML engineers, developers, data engineers, QA, UX and business stakeholders. 

• Define and track plans:Translate business objectives into project plans, milestones, deliverables, timelines, budgets and resources. 

• Manage AI project dependencies:Oversee AI-specific dependencies such as data availability/quality, model development, experiments, integrations, testing, deployment and adoption. 

• Monitor and control:Track scope, schedule, cost, quality, risks, issues and dependencies; ensure proactive mitigation and timely resolution. 

• Collaborate with AI teams:Work closely with data scientists, ML engineers and architects to track model development, evaluation, validation and production readiness. 

• Governance and reporting:Maintain RAID logs, dashboards, status reports and other project artifacts; communicate progress, risks and escalations to stakeholders and leadership. 

• Ensure quality and compliance:Ensure adherence to organizational processes, security, data privacy, compliance and responsible AI guidelines. 

• Drive continuous improvement:Identify opportunities for process improvement and optimize delivery practices and tools. 

• Handover and adoption:Ensure smooth transition to operations, knowledge transfer and post-go-live support. 

AI / GenAI Project Management Skills: 

• Understanding ofAI/ML and Generative AI project lifecycle and delivery methodology. 

• Experience managing AI use cases such asGenAI applications, AI assistants, chatbots, automation, RAG or AI-enabled business solutions. 

• Understanding of AI project dependencies includingdata, LLM/model selection, APIs, integrations, evaluation, security and deployment. 

• Ability to work closely with AI/ML engineers, data scientists, architects and business teams. 

• Understanding ofAI model evaluation, accuracy, hallucination, prompt engineering and RAG conceptsat a project-management level. 

• Awareness ofResponsible AI, data privacy, security, governance and AI risk management. 

• Ability to define AI project milestones, acceptance criteria, KPIs and business-value measurements. 

Required Experience & Qualifications: 

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  10+ years of overall experience in IT project management. 

• Proven experience delivering complex technology projects in Agile and/or Waterfall environments 

• Experience managing cross-functional technical teams and multiple stakeholders. 

• Strong skills in project planning, estimation, scheduling, risk management and issue resolution. 

• Experience with project management tools such asJIRA, Azure DevOps/TFS, Asana or equivalent. 

• Strong communication, presentation and stakeholder management skills. 

• Certifications such asPMP, CSM, SAFe Agilist or equivalentare preferred. 

• Experience inAI/GenAI or data-driven projectsis a strong advantage. 

Key Success Measures: 

• Projects delivered on time, within budget and within scope. 

• Effective management of AI-specific technical and business risks. 

• Successful transition of AI solutions from development to production. 

• Stakeholder satisfaction and governance effectiveness. 

• Achievement of agreed AI/business outcomes and adoption KPIs. 

Tools & Technologies – Exposure: 
JIRA | Azure DevOps/TFS | Asana | Confluence | MS Teams | Power BI (Reporting) | SQL | APIs | Cloud Platforms