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.
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.

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.

Senior Project Manager

Key skills