Lead and manage data-driven projects from initiation to completion, ensuring timely delivery and alignment with business objectives.
Experienced in at least in one of the following engagements - BI/DW, DWH, Data Warehousing, Data Analytics, Business Intelligence, Data Projects, Data Management, Data GovernanceProven experience in project management, preferably in data analytics, business intelligence, or related domains. Strong analytical skills with experience in working with large datasets and deriving actionable insights.
Collaborate with cross-functional teams, including data scientists, analysts, and engineers, to drive data-related initiatives. Develop and maintain project plans, timelines, and resource allocation for data & analytics projects. Oversee data collection, analysis, and visualization to support decision-making. Ensure data quality, integrity, and security compliance throughout project execution. Use data insights to optimize project performance, identify risks, and implement corrective actions. Communicate project progress, challenges, and key findings to stakeholders and senior management. Implement Agile or Scrum methodologies for efficient project execution in a data-focused environment. Stay updated with industry trends and advancements in data analytics and project management best practices.
Proven experience in project management, preferably in data analytics, business intelligence, or related domains. Strong analytical skills with experience in working with large datasets and deriving actionable insights. Excellent problem-solving skills and ability to work with complex datasets. Strong communication and stakeholder management skills. Knowledge of cloud platforms (AWS, Google Cloud, Azure) and database management is a plus. Certification in PMP, PRINCE2, or Agile methodologies is an advantage.
Industry: IT Services & Consulting Functional Area / Department: Project & Program Management Role Category: Technology / IT Role: IT Project Manager Employement Type: Full time