Senior Project Manager - R01560285

Brillio is a rapidly growing digital technology service provider that partners with Fortune 1000 companies to leverage innovative digital adoption. They are seeking a highly skilled Senior Project Manager to lead cross-functional teams in the execution of data science and engineering initiatives, ensuring alignment with business goals and successful project delivery.

Responsibilities:

• Lead end-to-end delivery of Data Science, ML, and Engineering projects
• Develop and manage project plans, timelines, resource allocations, and deliverables
• Monitor project progress, manage risks, and drive resolution of roadblocks
• Ensure high-quality, timely delivery across all phases—from requirements to deployment
• Facilitate Scrum ceremonies including sprint planning, daily stand-ups, retros, and reviews
• Maintain and optimize Jira boards, workflows, sprint metrics, and project visibility
• Promote Agile best practices and continuous delivery improvements
• Collaborate closely with Data Scientists, ML Engineers, Data Engineers, and Software teams
• Understand data workflows, model development lifecycle, and engineering dependencies
• Translate complex technical concepts into clear, actionable tasks for the team
• Support design discussions, requirements refinement, and technical decision-making
• Act as the primary point of contact for client interactions and status communication
• Understand client expectations, gather requirements, and ensure alignment throughout delivery
• Conduct regular status meetings, demos, and reviews with internal and external stakeholders
• Build strong, trust-based relationships with business and technical partners
• Prepare project documentation, dashboards, and executive status reports
• Track KPIs, sprint velocity, program health, and delivery outcomes
• Maintain transparent communication on progress, risks, and mitigation plans

Requirements:

• 10+ years of experience in Project/Program Management
• Strong exposure to Data Science, AI/ML, Data Engineering or analytics-based projects
• Solid understanding of datasets, model lifecycle, and engineering workflows
• Hands-on experience with Scrum, Agile delivery, and tools like Jira/Confluence
• Strong client-facing communication, presentation, and expectation management skills
• Ability to drive cross-functional alignment and manage multiple workstreams
• Strong problem-solving, organization, and decision-making abilities