Senior Agile Project Manager III

About the role

Everest is a global leader in risk management, offering a rich heritage of enabling businesses to thrive and economies to function. This role involves leading key AI initiatives with a strong Agile mindset.

Responsibilities

• Act as the primary interface between business stakeholders and the AI Engineering team, translating strategic objectives into actionable project roadmaps.
• Ensure alignment on business goals, success metrics, and delivery priorities.
• Owning overall project health, including budget, resource allocation, timelines, and delivery outcomes.
• Demonstrate strong adaptability and decision-making by responding effectively to technical or operational changes while maintaining momentum.
• Bridge executive leadership and engineering teams through clear communication, status reporting, and strategic insights.
• Identify risks proactively and drive mitigation and contingency planning.

Agile Execution & Scrum Leadership

• Lead key Agile ceremonies, including daily stand-ups, sprint planning, backlog refinement, and retrospectives to maintain team velocity.
• Support the development team by removing blockers and minimizing disruptions to delivery.
• Collaborate with Product Owners to ensure the backlog is clear, prioritized, and ready for execution.
• Establish and reinforce best practices for backlog management, estimation, and sprint planning.
• Promote a culture of transparency, continuous improvement, and iterative learning.

Qualifications

• 7–10 years of experience in Project Management and Technical Program Management within technology organizations.
• Strong organizational and multitasking skills, with the ability to manage multiple stakeholders and priorities effectively.
• Excellent communication skills, with the ability to engage both business and technical audiences.
• Solid understanding of the Software Development Life Cycle (SDLC) and experience working closely with engineering teams.
• Able to navigate complex organizational structures and confidently lead discussions with senior stakeholders.
• Strong knowledge of Agile/Scrum methodologies, with the flexibility to adapt practices to project needs.

Preferred Skills

• Certifications: PMP, Certified Scrum Master (CSM), or SAFe.
• Experience managing projects involving AI, Machine Learning, or Large Language Models (LLMs).
• Background in Insurance, Financial Services, or large-scale enterprise IT environments.