Data Project Manager (GCP AWS Azure) RemoteHybrid
Chicago, IL - USA
Job Summary
Our client is entering Phase 2 of an enterprise-wide initiative to scale their centralized data repositorythe ultimate "source of truth" across the enterprise that will eventually fuel corporate reporting insights and advanced AI initiatives. This role bridges the gap between technical execution and project coordination. You will sit directly over two small agile data engineering pods (45 developers total) and a Senior System Architect to guide shepherd remove roadblocks and keep deliverables strictly on track.
If you are a "scrappy" roll-up-your-sleeves driver who thrives in fast-paced high-collaboration environments and prefers rapid huddle-based problem-solving over lengthy email chains you will fit right in.
Agile/Scrum Leadership: Facilitate daily stand-ups end-of-day scrum check-ins and manage structured 2-week sprint cycles across two parallel data engineering pods.
Execution & Delivery: Shepherd the ingestion and pipelining of new enterprise data sources (e.g. integrating SAP Salesforce) into the centralized cloud data foundation.
Data Domain Scaling: Coordinate the deepening and optimization of established data domains (e.g. customer inventory pricing) with a heavy focus on data quality cleansing and governance.
Stakeholder Coordination: Serve as the tactical liaison between the core engineering pods system architecture and 56 cross-functional business stakeholders or subject matter experts.
Risk & Dependency Management: Proactively identify technical roadblocks map system dependencies and deliver actionable data-driven recommendations and status updates to the internal leadership triad (Data Architecture Insights & Intelligence and Business Leadership).
Culture Alignment: Drive a culture of immediate resolutionjumping in a room or sending a quick chat to resolve issues dynamically rather than drawing out decisions over email.
The Scrappy Delivery Agent: You dont need a heavy corporate structure or a suit to be effective. You are comfortable working in a fluid high-energy and uniquely "quirky" environment where action trumps formality.
The Cloud-Fluent Facilitator: You speak the language of data engineers and system architects effortlessly. You understand data pipelines mapping and cloud infrastructure constraints.
The Dynamic Problem Solver: You move fast possess strong situational awareness and know how to ruthlessly prioritize sprint stories to keep the project timeline green.
The Grounded Advisor: While you dont need to present to the C-suite (leadership handles the "air coverage") you have the professional maturity to hand leaders clear risk assessments and structured scheduling recommendations.
Background: 8-10 years of technical project management or Scrum Master experience heavily focused on enterprise data architecture data warehousing or data foundation projects.
Cloud Infrastructure: Hands-on experience managing projects deployed on major cloud platforms. While the clients architecture is rooted in Google Cloud Platform (GCP) proven experience successfully standing up or scaling enterprise data foundations in AWS or Azure is highly transferable and welcome.
Technical Core: Solid understanding of data pipelines (ETL/ELT) database management (SQL) data mapping among disparate legacy systems (e.g. SAP Salesforce) and data governance initiatives.
Methodology: Expert proficiency in Agile/Scrum frameworks sprint planning and utilizing modern project tracking tools (Jira Confluence Azure DevOps etc.).
Location & Workspace Cadence: Ability to work hybrid on-site in the Chicago IL area. The team operates in-office Tuesday through Thursday; local candidates or those capable of regular self-managed travel during core office days are strongly preferred.
Certifications: Certified ScrumMaster (CSM) Professional Scrum Master (PSM) or Project Management Professional (PMP) credentials are a significant plus.
Rate Type: Our strong preference is for a 1099 contract engagement though we are open to a W-2 arrangement for the right candidate
Required Skills:
Required Experience Background: 8-10 years of technical project management or Scrum Master experience heavily focused on enterprise data architecture data warehousing or data foundation projects. Cloud Infrastructure: Hands-on experience managing projects deployed on major cloud platforms. While the clients architecture is rooted in Google Cloud Platform (GCP) proven experience successfully standing up or scaling enterprise data foundations in AWS or Azure is highly transferable and welcome. Technical Core: Solid understanding of data pipelines (ETL/ELT) database management (SQL) data mapping among disparate legacy systems (e.g. SAP Salesforce) and data governance initiatives. Methodology: Expert proficiency in Agile/Scrum frameworks sprint planning and utilizing modern project tracking tools (Jira Confluence Azure DevOps etc.). Location & Workspace Cadence: Ability to work hybrid on-site in the Chicago IL area. The team operates in-office Tuesday through Thursday; local candidates or those capable of regular self-managed travel during core office days are strongly preferred. Certifications: Certified ScrumMaster (CSM) Professional Scrum Master (PSM) or Project Management Professional (PMP) credentials are a significant plus. Compensation & Contract Structure Rate Type: Our strong preference is for a 1099 contract engagement though we are open to a W-2 arrangement for the right candidate