Project Manager

Insight Global; Pasadena (CA); On-site; USD 138,000 - 165,000; Full time

Job summary

Insight Global is seeking a Senior Project Manager for Data Analytics and Data Integration in Pasadena. Manage complex data initiatives spanning Databricks, Boomi, JD Edwards, and Salesforce, guiding engineers, architects, and stakeholders to successful deployments.

You will lead agile/hybrid projects, maintain backlogs, and ensure timely delivery with clear communication and governance across business units.

Qualifications

• Bachelor’s degree required in Business Administration, MIS, or related field.
• 7+ years of Project Management experience.
• 3–5+ years leading data integration/ analytics projects.
• Current PMP and CSM certifications.
• Strong understanding of data lakes, Databricks Medallion Architecture, ETL/ELT, and modern analytics.
• Ability to lead technical discussions with data engineers and architects.
• Experience with Agile or hybrid projects using Scrum/Kanban.
• Hands-on Jira and Smartsheet experience for plans, dashboards, reporting.

Responsibilities

• Lead data analytics, BI, and enterprise data integration projects from planning through deployment.
• Coordinate cross-functional teams including stakeholders, analysts, engineers, and vendors.
• Lead projects integrating JD Edwards, Salesforce, and other systems into Databricks.
• Manage data modeling, Medallion Architecture, Gold Layer development, and analytics delivery to users.
• Define scope, schedules, resources, dependencies, testing, UAT and deployment.

Skills

PMP

CSM

Data integration

Databricks

Jira

Smartsheet

Asana

Kanban

Scrum

Stakeholder management

Education

Bachelor's degree in Business Administration, MIS, or related field

Tools

Databricks

Boomi

JD Edwards

Salesforce

Confluence

ServiceNow

Job description

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