We are seeking a Senior Data Project Manager to lead complex data, analytics, and cloud initiatives. This client-facing role requires strong delivery leadership, technical fluency, stakeholder management, and financial oversight across modern data environments. The ideal candidate can translate business objectives into executable data solutions while coordinating cross-functional teams and managing delivery through Agile, Waterfall, or hybrid methodologies. Description The Senior Data Project Manager will oversee end-to-end delivery of enterprise data projects involving cloud platforms, data pipelines, integrations, analytics, and business intelligence solutions. The role requires familiarity with AWS, Microsoft Azure, or Google Cloud Platform, as well as modern data technologies such as Databricks, Snowflake, Microsoft Fabric, Redshift, BigQuery, Power BI, and Tableau. The candidate does not need to be a hands-on engineer but must understand data architectures, SQL, data quality, technical dependencies, and production support processes. Responsibilities • Lead data and analytics projects from discovery and planning through implementation and operational transition. • Develop and maintain project plans, timelines, milestones, budgets, resource plans, and delivery roadmaps. • Coordinate data engineering, architecture, analytics, development, quality assurance, cloud, and business teams. • Apply Agile, Waterfall, or hybrid methodologies based on project and client needs. • Manage backlogs, delivery progress, dependencies, and reporting through Jira, Azure DevOps, ServiceNow, or similar tools. • Oversee initiatives involving cloud platforms, data pipelines, integrations, data warehouses, lakehouses, and BI solutions. • Partner with technical teams to address data quality, SQL validation, platform limitations, and upstream or downstream dependencies. • Manage stakeholders, communicate project status, facilitate decisions, and escalate risks or issues proactively. • Own project budgets, forecasts, estimates, resource utilization, and actual-versusplanned performance. • Manage scope and change requests, including delivery under fixed-fee contracts. • Coordinate production support, ticket triage, incident resolution, root cause analysis, and SLA performance when required. • Identify opportunities to improve delivery through automation, AI, forecasting, and performance analytics. Qualifications • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, Business Administration, or a related field. • At least 7 years of experience leading technical, data, analytics, or cloud projects. • Experience delivering projects through Agile, Waterfall, and hybrid methodologies. • Familiarity with AWS, Microsoft Azure, or Google Cloud Platform. • Experience with Databricks, Snowflake, Microsoft Fabric, or comparable modern data platforms. • Understanding of data pipelines, integrations, warehouses, lakehouses, SQL, data quality, and BI solutions. • Experience using Jira, Azure DevOps, ServiceNow, Confluence, or similar delivery tools. • Strong stakeholder management, communication, negotiation, risk management, and problem-solving skills. • Experience managing project budgets, forecasts, resource plans, fixed-fee contracts, and change requests. • Production support, ticket management, and SLA governance experience is preferred. • Client-facing consulting or professional-services experience is preferred. • PMP, CSM, CSPO, SAFe, cloud, Databricks, or Snowflake certifications are preferred.