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We are seeking a Senior Technical Project Manager to lead data-focused initiatives across analytics and data engineering teams. This role will manage projects using both Agile Scrum and traditional Waterfall methodologies, ensuring delivery of complex, cross-functional programs in a regulated environment.
Job Responsibility
Lead end-to-end delivery of data engineering and analytics projects
Execute Agile Scrum ceremonies including sprint planning, standups, reviews, and retrospectives
Manage product backlogs, sprint execution, and team capacity planning using Azure DevOps
Develop and maintain project plans, timelines, and resource allocations for Waterfall initiatives
Coordinate across engineering, analytics, architecture, and business teams to ensure alignment
Track risks, dependencies, and issues, driving mitigation and resolution
Provide clear status reporting, dashboards, and executive updates
Ensure adherence to data governance, security, and compliance standards
Drive continuous improvement across delivery processes and hybrid methodologies
Requirements
12+ years of experience managing technical projects in both Agile and Waterfall environments
Strong experience leading Scrum teams and performing Scrum responsibilities
Hands-on experience using Azure DevOps for backlog management, sprint tracking, and reporting
Experience managing data engineering, data platforms, or analytics programs
Ability to manage cross-functional teams and influence stakeholders at all levels
Strong problem-solving skills with a proactive, solutions-oriented approach
Experience tracking project delivery through dashboards, metrics, and reporting tools
Excellent communication and stakeholder management skills