<p><strong>Role Summary</strong></p><p>As a Technical Project Manager focused on data and AWS cloud, you will lead the planning, execution, and delivery of engineering efforts involving data infrastructure, data platforms, analytics, and cloud services. You will partner with data engineering, analytics, DevOps, product, security, and business stakeholders to deliver on key strategic initiatives. You are comfortable navigating ambiguity, managing dependencies across teams, and ensuring alignment between technical direction and business priorities.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead end-to-end technical projects pertaining to AWS cloud, data platforms, data pipelines, ETL/ELT, analytics, and reporting.</li><li>Define project scope, objectives, success criteria, deliverables, and timelines in collaboration with stakeholders.</li><li>Create and maintain detailed project plans, roadmaps, dependency maps, risk & mitigation plans, status reports, and communication plans.</li><li>Track and monitor project progress, managing changes to scope, schedule, and resources.</li><li>Facilitate agile ceremonies (e.g., sprint planning, standups, retrospectives) or hybrid methodologies as appropriate.</li><li>Serve as the bridge between technical teams (data engineering, DevOps, platform, security) and business stakeholders (product, analytics, operations).</li><li>Identify technical and organizational risks, escalate when needed, propose mitigation or contingency plans.</li><li>Drive architectural and design discussions, ensure technical feasibility, tradeoff assessments, and alignment with cloud best practices.</li><li>Oversee vendor, third-party, or external partner integrations and workstreams.</li><li>Ensure compliance, security, governance, and operational readiness (e.g., data privacy, logging, monitoring, SLA) are baked into deliverables.</li><li>Conduct post-implementation reviews, lessons learned, and process improvements.</li><li>Present regularly to senior leadership on project status, challenges, KPIs, and outcomes.</li></ul>
