Pogram Manager AI Transformation

EazyML; New Jersey; On-site; USD 120,000 - 180,000; Full time

Job summary

EazyML, a Gartner-recognized leader in Responsible AI, seeks a Senior Program Manager to drive end-to-end AI infrastructure deployments and AI Labs initiatives across multiple programs. You will lead cross-functional teams, define milestones, and ensure executive alignment with strategic goals.

The role emphasizes strong program governance, risk management, and cooperation with customers to translate strategy into actionable roadmaps and measurable outcomes in enterprise AI deployments.

Qualifications

• 10+ years of program or project management experience, preferably with AI/ML, data platforms or large-scale systems.
• Experience working with AI/ML teams and research collaborations.
• Clear, confident communicator bridging technical and business stakeholders.

Responsibilities

• Lead multiple AI programs and strategic initiatives (Agentic/GenAI, solutions).
• Define objectives, scope, schedules, milestones, dependencies and success criteria.
• Establish governance structures, steering committees and executive communication plans.

Skills

Program management

AI/ML familiarity

Agile methodologies

Cross-functional leadership

Executive communication

Risk management

Education

MBA or related

Tools

Jira

Job description

EazyML, (www.EazyML.com) recognized by Gartner, specializes in Responsible AI. Our solutions enable proactive compliance and sustainable automation for enterprises adopting AI at scale. We're also associated with breakthrough startups like Amelia.ai, giving our team exposure to cutting-edge AI products at enterprise scale.

About the Role

We're looking for a Senior Program Manager who will drive end-to-end program management for AI infrastructure deployments, AI Labs initiatives, AI field deployment programs, automation projects, and AI-driven operational transformation initiatives. The role requires a blend of program management leadership, technical acumen mainly in the AI, change management expertise, executive communication skills, and cross-functional coordination capabilities.

• Lead multiple concurrent AI programs and strategic initiatives across Agentic /GenAI, solutions.
• Define program objectives, scope, schedules, milestones, dependencies, and success criteria.
• Establish and maintain governance structures, steering committees, executive reviews, and stakeholder communication plans.
• Develop program roadmaps aligned with customers strategic priorities and growth objectives.
• Drive Foundation AI projects from kickoff through development to deployment and stabilization
• Support the customer to translate strategy into executable roadmaps with clear milestones, risks, dependencies, and success metrics
• Develop project plans consistent with business goals and requirements for algorithm performance
• Establish and maintain program governance, including planning cadences, status reporting, decision forums, and executive communication
• Bring together key stakeholders to facilitate timely and lasting decision-making
• Partner with the extended team on availability constraints, capacity forecasting, deadlines etc
• Partner with the broader team to continuously improve the development process to enable execution of projects in an organized, methodical, and predictable manner.
• Identify and manage project risks and issues, ensuring mitigations are in place to reduce potential impacts.
• Facilitate cross-functional communication across teams for awareness and understanding.
• Understanding of technical issues to facilitate resolution of project blockers is a plus
• Proactively identify risks, dependencies, and technical blockers and drive cross-functional resolution with urgency.
• Lead escalation management and executive communications for high-priority issues.
• Ensure mitigation strategies are implemented and tracked to closure.

QUALIFICATIONS:

• 10+ years of industry experience in program or project management, preferably involving AI/ML, data platforms or large-scale systems
• Experience working with AI or applied ML teams
• Familiarity with agile methodologies, sprint planning, backlog grooming processes
• Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure program success
• Familiarity with AI/ML concepts (e.g., model training, inference, data pipelines, evaluation, experimentation), hands-on coding experience is not required
• Clear, confident communicator who can bridge deeply technical teams and business stakeholders
• Proven ability to influence without authority and drive alignment across diverse teams
• Experience working with research teams
• Background in consumer technology, platforms, or data-driven products
• Experience organizing projects using Jira or similar platforms

Cross-Functional Leadership

• Collaborate with:
• Solutions Architects
• Integration Center Operations
• Delivery Teams
• Product Management
• Leadership
• Facilitate alignment across technical and business stakeholders.
• Resolve conflicts, remove roadblocks, and drive accountability across programs.

Resource & Capacity Planning

• Coordinate resource demand planning across AI project portfolios.
• Forecast staffing needs and identify capability gaps.
• Support workforce planning and bench-strength development initiatives.
• Contribute to the PMO's strategic vision to improve organizational readiness for future AI growth.
• Support AI training, certification, and capability development programs.
• Drive adoption of best practices, standards, automation opportunities, and operational efficiencies.
• Identify opportunities to leverage AI technologies to improve delivery performance and customer experience.
• Champion continuous improvement initiatives focused on scalability, quality, and delivery excellence.

Behaviors and Competencies

• Communication: Can effectively communicate complex ideas and information to diverse audiences, facilitate effective communication between others, and mentor others in effective communication.
• Interpersonal Skills: Can communicate effectively, build relationships, resolve conflicts, influence others, and support others in developing their interpersonal skills in major situations.
• Follow-Up: Can take ownership of tasks, collaborate with others in managing follow-ups, and drive results through effective task completion.
• Collaboration: Can take ownership of team initiatives, foster a collaborative environment, and ensure that all team members feel valued and heard.
• Problem-Solving: Can proactively identify and take ownership of complex problem-solving initiatives, initiate preventative measures, collaborate with others to find solutions, and drive successful outcomes.
• Time Management: Can manage time effectively, accurately estimate the time required for specific tasks, balance multiple tasks, and help others in improving their time management skills.
• Organization: Can oversee complex projects with multiple moving parts, ensure team alignment with organizational systems, and adapt to changing priorities.
• Digital Acumen: Can take ownership of complex digital initiatives, collaborate with others, and drive digital results.
• Leadership: Can take ownership of complex team initiatives, collaborate with others in decision-making processes, and drive team performance.