Requirement ID:
93745
Job Title:
IT Project Manager – Data & Analytics
Job Type:
Contract
Duration:
6 - 9 months
Location:
Remote
Job Description:
Role Summary:
Seeking an experienced IT Project Manager with strong expertise in Data & Analytics projects , including ETL, BI Reporting, Data Warehousing, SQL, and Scripting . Responsible for managing end-to-end project delivery, stakeholder communication, Agile execution, risk management, and coordination between business and technical teams. Candidates should possess a solid understanding of data integration, reporting platforms, and cloud-based analytics solutions.
Required Skills:
• Project Management (Agile/Scrum/Waterfall)
• ETL: Informatica / SSIS / IDMC / Equivalent
• BI: Power BI, Tableau, Cognos
• SQL & Database Concepts
• Python / Shell Scripting
• Azure Data Platform (preferred)
• Jira, Azure DevOps, MS Project
• Strong stakeholder and executive communication skills
Preferred Certifications: PMP, Scrum Master, SAFe, Azure Certifications.
Roles & Responsibilities
• Lead end-to-end delivery of Data & Analytics modernization and cloud migration projects on the Azure platform.
• Manage migration of legacy data platforms, ETL workloads, reporting solutions, and data warehouses to Azure Databricks and Azure Data Services.
• Coordinate with business stakeholders, architects, data engineers, analysts, and cloud teams to define project scope, roadmap, timelines, and success criteria.
• Drive Agile project execution, sprint planning, release management, and delivery governance.
• Track project schedules, budgets, dependencies, risks, and issues, ensuring timely mitigation and escalation.
• Oversee data migration, validation, reconciliation, testing, and production cutover activities.
• Ensure adherence to data governance, security, compliance, and cloud architecture standards.
• Monitor project KPIs, delivery metrics, and business outcomes, providing regular executive-level status updates.
• Facilitate stakeholder communication, steering committee reviews, and cross-functional collaboration.
• Support Azure Databricks adoption, performance optimization, and operational transition to support teams.
• Manage vendor teams and offshore/onshore delivery resources to ensure quality and timely execution.
• Identify opportunities for automation, modernization, and AI/ML enablement within the data ecosystem.
• Drive continuous improvement and best practices across Data Engineering, Data Integration, Analytics, and Reporting platforms.
Preferred Azure & Databricks Experience
• Azure Databricks, Delta Lake, Unity Catalog
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Azure Data Lake Storage (ADLS Gen2)
• Data Migration & Modernization Programs
• CI/CD, DevOps, Git Integration
• Cloud Cost Optimization and Performance Management
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