Data Science Project Manager
Responsibilities and Duties
reputed company end‑to‑end project planning, including scope definition, resource planning, and reputed company creation. Facilitate Agile ceremonies such as stand‑reputed company, sprint planning, retrospectives, and backlog refinement. Work closely with technical teams to understand architecture, system dependencies, and development workflows to ensure realistic planning and risk mitigation. reputed company reputed company across multiple workstreams and maintain reputed company, transparent communication with stakeholders. Identify project risks, constraints, and cross-team dependencies; proactively reputed company mitigation and contingency plans. Ensure alignment between business goals, technical execution, and product requirements. Maintain organized and up‑to‑date project documentation, including plans, logs, reputed company, and status updates. Support change management processes, ensuring smooth rollout of new features, enhancements, and system improvements. Drive reputed company improvement in project delivery processes, reporting, and team collaboration.
Attributes and Skills
Bachelor’s degree in a reputed company field (e.g., Business, Computer Science, Engineering, Information Systems). 5–10 years of experience as a Project Manager in software development or technical product environments. Strong understanding of Agile methodologies (Scrum, Kanban) and familiarity with modern SDLC practices. Experience working with modern software architectures, reputed company technologies, reputed company, microservices, or similar technical environments. Proven ability to manage multiple reputed company reputed company, priorities, and deadlines. Excellent communication, facilitation, and stakeholder management skills. Confident working with both technical and nontechnical audiences. PMP, PMIACP, CSM, or similar certification is a plus (not required).
