Project Manager

Senior Project Manager, Data Analytics & Data Integration Pay: 100-120/hr Position Overview We are seeking a Senior Project Manager to lead complex data analytics, business intelligence modernization, and enterprise data integration initiatives. This individual will manage projects involving Databricks, Boomi, JD Edwards, Salesforce, data marts, and enterprise application integrations. The ideal candidate combines strong project leadership with enough technical depth to effectively lead data engineers, architects, analytics developers, business stakeholders, and vendors. Required Qualifications Bachelor’s degree in Business Administration, MIS, or a related field. 7+ years of Project Management experience. 3–5+ years leading data integration, data analytics, or similar technical projects. Current PMP and Certified ScrumMaster (CSM) certifications. Strong understanding of data lakes, Databricks Medallion Architecture, ETL/ELT, data integration, and modern analytics environments. Ability to lead technical discussions with data engineers, data architects, integration developers, and analytics/dashboard teams. Experience managing Agile or hybrid projects using Scrum and/or Kanban. Hands-on experience with Jira and Smartsheet, including project plans, dashboards, reporting, and project administration. Asana experience may also be considered for project organization, task assignment, and deadline tracking. Strong stakeholder management, leadership, written communication, and verbal communication skills. Ability to manage multiple concurrent projects, risks, dependencies, timelines, and priorities. Familiarity with change-management frameworks such as PROSCI or ADKAR. Preferred Background Previous Data Engineering or hands-on technical data experience before transitioning into Project Management. Experience delivering technology transformations within mid-sized organizations. Key Responsibilities Lead data analytics, business intelligence, and enterprise data integration projects from planning through deployment and transition to support. Coordinate cross-functional teams consisting of business stakeholders, functional analysts, data engineers, data architects, developers, SMEs, and vendors. Lead projects integrating data from JD Edwards, Salesforce, and other enterprise systems into Databricks. Manage initiatives involving data modeling, Databricks Medallion Architecture, Gold Layer development, and delivery of analytics products to business users. Define project scope, schedules, resources, dependencies, testing requirements, UAT, training, deployment, and support transition activities. Build and manage product backlogs, sprint planning, user stories, development tasks, releases, retrospectives, and project-level status reporting. Ensure user stories and technical requirements are detailed enough for engineering teams to execute effectively. Identify and manage project risks, issues, dependencies, and blockers while maintaining transparency with stakeholders and executive sponsors. Coordinate change-management activities surrounding communication, training, adoption, and deployment of new analytics capabilities. Oversee SQA testing and UAT activities in non-production environments. Maintain project plans and reporting through Jira, Smartsheet, and related collaboration tools. Create transition-to-support plans and control plans that establish KPIs and methods for measuring project value. Conduct project health assessments and lessons-learned sessions. Support and continuously improve PMO standards, processes, and project-management practices. Technology Environment Databricks | Boomi | JD Edwards | Salesforce | ETL/ELT | Data Lakes | Medallion Architecture | Jira | Smartsheet | Confluence | ServiceNow | Asana | Box | Google Workspace | Lucidchart | PowerPoint #J-18808-Ljbffr