We are looking for an experienced Project Manager – Data & Analytics to lead and manage data-driven projects across various business domains. The ideal candidate will have strong experience in managing data engineering, business intelligence, and analytics projects, with a proven ability to collaborate with technical and business stakeholders to deliver high-impact solutions on time and within budget. Key Responsibilities: Lead end-to-end project management for data and analytics initiatives. Define project scope, goals, deliverables, timelines, and resource plans. Work closely with data engineers, data scientists, analysts, and business stakeholders. Manage project risks, issues, and dependencies proactively. Ensure quality assurance, timely reporting, and documentation throughout the project lifecycle. Communicate project status, updates, and escalations to leadership and stakeholders. Drive Agile/Scrum ceremonies and ensure timely sprint deliverables. Coordinate across cross-functional teams to ensure alignment with business objectives. Track KPIs, ROI, and business impact of analytics solutions. Required Skills & Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. PMP/PRINCE2 certification is a plus. 6+ years of total experience with at least 3+ years in managing data analytics or data engineering projects. Strong understanding of AI, data warehousing, ETL pipelines, data visualization, and analytics platforms. Hands-on experience working with tools/technologies like SQL, Power BI/Tableau, Python/R /R (preferred), and cloud data platforms (AWS/GCP/Azure). Strong project management skills including planning, budgeting, and stakeholder management.
Job Title
Project Manager (Data & Analytics)