Lead AI Implementation Program Manager

Madison-Davis; New Jersey; Presencial; USD 170.000 - 210.000; Jornada completa

Descripción de la vacante

Madison-Davis, LLC seeks a Lead AI Implementation Program Manager to drive enterprise Generative AI initiatives from concept to production. You will oversee multiple concurrent AI programs, coordinating architecture, data, security, governance, and external partners while maintaining rapid, iterative delivery cycles.

The role requires extensive AI implementation experience, strong enterprise delivery discipline, and fluency in AI agents, LLMs, APIs, and integrations to enable production

Formación

• 7+ years of IT project management, program management, or technology-delivery experience.
• Direct experience leading Generative AI, AI-agent, intelligent-automation, or related emerging-technology implementations.
• Experience delivering multiple complex enterprise initiatives simultaneously.
• Strong Agile / Scrum experience.
• Strong project-management discipline across scope, schedule, risk, dependencies, vendors, change, and governance.
• Working understanding of AI agents, LLMs, RAG, orchestration, APIs, integrations, enterprise data, IAM, testing, and monitoring.
• Experience with enterprise security, privacy, governance, and production-readiness processes.
• Experience managing external vendors or implementation partners.
• Strong facilitation and executive communication skills.
• Ability to drive accountability across matrixed teams without direct authority.
• PMP certification preferred.
• PMI-ACP, CSM, SAFe, or comparable Agile certification.
• Pharmaceutical, biotechnology, life sciences, or other regulated-industry experience.
• Experience with Jira, Smartsheet, MS Project, ServiceNow, Teams, SharePoint, or similar platforms.
• AI, cloud, security, or architecture certifications.

Responsabilidades

• Lead multiple concurrent AI and AI-agent initiatives from concept through deployment and support transition.
• Run rapid Agile implementation cycles with short sprints, demonstrations, testing, and continuous feedback.
• Translate business objectives into plans, backlogs, user stories, acceptance criteria, milestones, and measurable outcomes.
• Coordinate architecture, data, integration, cybersecurity, privacy, AI governance, cloud, and application teams.
• Manage risks, dependencies, issues, decisions, resources, schedules, financials, and governance.
• Lead SIT, UAT, defect management, production readiness, cutover, deployment, and hypercare.
• Manage vendors and systems integrators against SOW commitments, deliverables, dependencies, and timelines.
• Maintain visibility across a portfolio of AI initiatives and resolve cross-project conflicts.
• Improve the organization s repeatable approach for moving AI ideas rapidly and responsibly into enterprise production.

Conocimientos

IT project management

Program management

AI implementation

Agile / Scrum

Executive communication

Vendor management

Educación

PMP certification

PMI-ACP

CSM

SAFe certification

Herramientas

Jira

Smartsheet

MS Project

ServiceNow

Microsoft Teams

SharePoint

Descripción del empleo

A global life sciences organization is seeking an experienced Lead AI Implementation Program Manager to drive enterprise Generative AI and AI-agent initiatives from approved concept through production. This person will manage several concurrent implementations using rapid, iterative delivery cycles. The role sits at the intersection of business stakeholders, AI teams, enterprise applications, architecture, data, cloud, security, privacy, governance, and external technology partners. This is not a traditional PMO-only position. The successful candidate will bring direct AI implementation experience, strong enterprise-delivery discipline, and enough technical fluency to facilitate detailed conversations involving AI agents, LLMs, APIs, integrations, data, security, testing, and production operations.

RESPONSIBILITIES

• Lead multiple concurrent AI and AI-agent initiatives from concept through deployment and support transition.
• Run rapid Agile implementation cycles with short sprints, demonstrations, testing, and continuous feedback.
• Translate business objectives into plans, backlogs, user stories, acceptance criteria, milestones, and measurable outcomes.
• Coordinate architecture, data, integration, cybersecurity, privacy, AI governance, cloud, and application teams.
• Manage risks, dependencies, issues, decisions, resources, schedules, financials, and governance.
• Lead SIT, UAT, defect management, production readiness, cutover, deployment, and hypercare.
• Manage vendors and systems integrators against SOW commitments, deliverables, dependencies, and timelines.
• Maintain visibility across a portfolio of AI initiatives and resolve cross-project conflicts.
• Improve the organization s repeatable approach for moving AI ideas rapidly and responsibly into enterprise production.

Role Requirements

• 7+ years of IT project management, program management, or technology-delivery experience.
• Direct experience leading Generative AI, AI-agent, intelligent-automation, or related emerging-technology implementations.
• Experience delivering multiple complex enterprise initiatives simultaneously.
• Strong Agile / Scrum experience.
• Strong project-management discipline across scope, schedule, risk, dependencies, vendors, change, and governance.
• Working understanding of AI agents, LLMs, RAG, orchestration, APIs, integrations, enterprise data, IAM, testing, and monitoring.
• Experience with enterprise security, privacy, governance, and production-readiness processes.
• Experience managing external vendors or implementation partners.
• Strong facilitation and executive communication skills.
• Ability to drive accountability across matrixed teams without direct authority.
• PREFERRED EXPERIENCE PMP certification.
• PMI-ACP, CSM, SAFe, or comparable Agile certification.
• Pharmaceutical, biotechnology, life sciences, or other regulated-industry experience.
• Experience with Jira, Smartsheet, MS Project, ServiceNow, Teams, SharePoint, or similar platforms.
• AI, cloud, security, or architecture certifications.