AI project manager

i-Pharm Consulting

New Jersey

On-site

USD 120,000 - 180,000

Full time

4 hours ago
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Job summary

i-Pharm Consulting requires a seasoned IT Project Manager to lead multiple AI implementation initiatives from concept through deployment and support in a fast-paced enterprise setting. You will collaborate with business leaders, technical teams, architects, vendors, and stakeholders to ensure successful AI-powered solutions.

This role blends strong project management with practical AI knowledge, Agile delivery, and enterprise technology understanding to drive delivery across the organisation.

Qualifications

  • 7+ years of IT Project Management, Programme Management, or Technology Delivery experience.
  • Proven experience managing multiple enterprise technology projects simultaneously.
  • Hands-on experience delivering AI, Generative AI, AI Agent, Intelligent Automation, or emerging technology initiatives.
  • Strong understanding of AI concepts including LLMs, AI Agents, APIs, enterprise data, integrations, RAG frameworks, security, testing, and production support.
  • Strong knowledge of PMI project management methodologies and best practices.
  • Experience leading Agile and Scrum delivery teams.
  • Ability to translate business objectives into delivery roadmaps and measurable outcomes.
  • Experience working with enterprise architecture, cybersecurity, data governance, and compliance teams.
  • Strong vendor and stakeholder management experience.
  • Excellent communication, facilitation, and organisational skills.
  • Experience using Jira, Smartsheet, MS Project, ServiceNow, Microsoft Teams, SharePoint, or similar tools.

Responsibilities

  • Lead up to four concurrent AI and AI Agent implementation projects from idea approval through deployment and support transition.
  • Manage project plans, milestones, sprint delivery, budgets, risks, dependencies, and stakeholder communications.
  • Drive Agile delivery cycles, facilitating stand-ups, sprint planning, retrospectives, reviews, and demonstrations.
  • Translate business requirements into actionable backlogs, user stories, acceptance criteria, and implementation plans.
  • Maintain governance, RAID logs, status reporting, change control, and PMO documentation.
  • Work closely with AI architects, developers, data teams, cloud teams, cybersecurity, and business stakeholders.
  • Coordinate solution testing, UAT, deployment activities, production readiness reviews, and hypercare support.
  • Manage third-party vendors and implementation partners to ensure successful delivery against agreed commitments.
  • Identify and mitigate project risks, resource constraints, and technical dependencies.
  • Provide clear and concise updates to leadership and project sponsors.
  • Support the development of repeatable frameworks for successful AI delivery across the organisation.

Skills

AI project management
Agile delivery
stakeholder management
vendor management

Education

PMP Certification
PMI-ACP
CSM
SAFe

Tools

Jira
MS Project
Smartsheet
ServiceNow
SharePoint
MS Teams

Job description

You will manage multiple AI implementation projects from concept through to deployment and operational support. Working closely with business leaders, technical teams, architects, vendors, and stakeholders, you will ensure the successful delivery of AI-powered solutions in a fast-paced enterprise environment.

This role combines strong project management expertise with a practical understanding of AI, Agile delivery, and enterprise technology landscapes.

Key Responsibilities
  • Lead up to four concurrent AI and AI Agent implementation projects from idea approval through deployment and support transition.
  • Manage project plans, milestones, sprint delivery, budgets, risks, dependencies, and stakeholder communications.
  • Drive Agile delivery cycles, facilitating stand-ups, sprint planning, retrospectives, reviews, and demonstrations.
  • Translate business requirements into actionable backlogs, user stories, acceptance criteria, and implementation plans.
  • Maintain governance, RAID logs, status reporting, change control, and PMO documentation.
  • Work closely with AI architects, developers, data teams, cloud teams, cybersecurity, and business stakeholders.
  • Coordinate solution testing, UAT, deployment activities, production readiness reviews, and hypercare support.
  • Manage third-party vendors and implementation partners to ensure successful delivery against agreed commitments.
  • Identify and mitigate project risks, resource constraints, and technical dependencies.
  • Provide clear and concise updates to leadership and project sponsors.
  • Support the development of repeatable frameworks for successful AI delivery across the organisation.
Requirements
  • 7+ years of IT Project Management, Programme Management, or Technology Delivery experience.
  • Proven experience managing multiple enterprise technology projects simultaneously.
  • Hands-on experience delivering AI, Generative AI, AI Agent, Intelligent Automation, or emerging technology initiatives.
  • Strong understanding of AI concepts including LLMs, AI Agents, APIs, enterprise data, integrations, RAG frameworks, security, testing, and production support.
  • Strong knowledge of PMI project management methodologies and best practices.
  • Experience leading Agile and Scrum delivery teams.
  • Ability to translate business objectives into delivery roadmaps and measurable outcomes.
  • Experience working with enterprise architecture, cybersecurity, data governance, and compliance teams.
  • Strong vendor and stakeholder management experience.
  • Excellent communication, facilitation, and organisational skills.
  • Experience using Jira, Smartsheet, MS Project, ServiceNow, Microsoft Teams, SharePoint, or similar tools.
Preferred Qualifications
  • PMP Certification.
  • PMI-ACP, Certified Scrum Master (CSM), SAFe, or equivalent Agile certification.
  • Experience within pharmaceutical, biotechnology, life sciences, or other regulated industries.
  • AI, Cloud, Cybersecurity, or Enterprise Architecture certifications are advantageous.
  • Master's degree in a relevant discipline is a plus.
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