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