Sr. Product Program Manager

ROLE: Sr. Product Program Manager #MAT_5069

DURATION: 6mo

LOCATION: Los Angeles, CA - Onsite 4days in office

RATE: 60-70hr

Domain: Manufacturing

LOCAL CANDIDATES (Los Angeles,CA) WILL HAVE PRIORITY**

SKILLS MATRIX:

Responsibilities:

• Bachelor's degree in information technology, Computer Science, Business Administration, or related field.
• [Preferred] Master's degree or relevant certifications (e.g., PMP, PRINCE2, or ITIL).
• GENERATIVE AI exp. Is a PLUS NOT mandatory: developing AI capabilities
• 10 15+ years of experience in IT program management, with a focus on SaaS Cloud implementations.
• Proficiency in project management tools (e.g., MS Project, Jira, Trello).
• Managing a portfolio of various AI projects and working with product owners.
• Familiar with Jira and Jira Align and Agile Practices
• Knowledge of regulatory compliance requirements related to AI systems.
• Information gathering and understanding requirements.
• Proven success in leading large-scale, complex AI projects, AI implementation.
• Experience in building and scaling platforms and capabilities leveraging Generative and Agentic AI for Enterprises.
• Significant understanding of use of AI in business domain including ML fundamentals and familiarity with algorithm work.
• Proven leadership experience of developing products in a multidisciplinary cross-functional environment.
• Possesses excellent interpersonal, problem solving and communication skills (written and verbal).
• Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges, and improving themselves.

What Your Impact Will Be:

• Strategy & Stakeholder management
• Align and manage organization wide AI product development. Measure and communicate business value delivered through various AI initiatives.
• Lead insight gathering, ideation, and development into newer AI-powered business models, and successfully champion them through senior management and cross-functional teams for approval and endorsement.

Program Leadership:

• Lead the end-to-end implementation of the Global AI system, ensuring alignment with business goals, timelines, and budgets.
• Serve as the primary point of contact for all AI program-related activities.

Project Planning and Execution:

• Develop detailed project plans, including scope, milestones, resource allocation, risk management, and contingency planning.
• Risk and Issue Management:
• Identify, assess, and mitigate risks and issues throughout the program's lifecycle.
• Develop and implement corrective actions as needed to ensure project continuity.
• Change Management:
• Develop and execute a comprehensive change management strategy to facilitate user adoption and minimize disruption.
• Provide training and support to end-users and stakeholders.
• Budget and Resource Management: