Posted:1 week ago|
Platform:
Work from Office
Full Time
We are looking for a seasoned sr. Project Manager to lead and coordinate complex data transformation programs. The ideal candidate will have a strong background in project and delivery planning, execution oversight, and stakeholder management, with a solid understanding of data platforms, migration, and modernization initiatives.
• Develop and maintain comprehensive project plans, delivery roadmaps, and execution strategies.
• Define scope, timelines, milestones, and resource requirements for data transformation programs.
• Align project goals with business objectives and technical feasibility.
• Drive end-to-end execution of data transformation initiatives across multiple workstreams.
• Monitor progress, manage risks and issues, and ensure timely delivery of milestones.
• Coordinate cross-functional teams including data engineers, architects, analysts, and business stakeholders.
• Act as the primary point of contact for program stakeholders.
• Facilitate regular status updates, steering committee meetings, and executive reporting.
• Manage expectations and ensure alignment across business and technical teams.
• Understand data migration, integration, and modernization processes.
• Collaborate with technical leads to ensure alignment with architectural standards and best practices.
• Support data quality, governance, and compliance efforts throughout the program lifecycle.
• 8+ years of experience in program or project management, preferably in data or IT transformation.
• Proven experience in managing large-scale data initiatives (e.g., cloud migration, data lake implementation, legacy modernization).
• Strong knowledge of project management methodologies (Agile, Scrum, Waterfall, Hybrid).
• Familiarity with data platforms (Azure, AWS, GCP), ETL/ELT processes, and data governance.
• Proficiency in project management tools (e.g., MS Project, JIRA, Smartsheet, Azure DevOps).
• PMP, PMI-ACP, or SAFe certification.
• Experience working with data architects and engineering teams.
• Exposure to Azure Data Services, Power BI, or similar platforms.
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