Role Overview
We are seeking a highly skilled Project Manager with hands-on experience in Data Science Engineering delivery Agile/Scrum methodologies and client stakeholder management. The ideal candidate will lead cross-functional teams ensure smooth execution of data and engineering initiatives and drive successful outcomes aligned with business goals.
Key Responsibilities
Project & Delivery Management
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 phasesfrom requirements to deployment.
Agile & Scrum Execution
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.
Technical Coordination
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.
Client & Stakeholder Management
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.
Documentation & Reporting
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.
Required Skills & Experience
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.