Agile Project Manager

Hazel Seybert Consulting•Berwyn, IL

7d•Hybrid

About The Position

We are seeking an Agile Project Manager for a 3-month Temp-to-Perm contract role in Chicago IL. Our client is currently modernizing their business through a targeted portfolio of technology initiatives. A critical pillar of this effort is an enterprise-wide project to scale their centralized data repository—the core 'source of truth' powering corporate reporting and insights. Walking into this role, you will drive scrum delivery and bridge the gap between technical execution and business intent. By orchestrating workflows across data engineering pods, business leads, and semantic layer leads, you will ensure the enterprise data foundation is scalable, governed, and ready for high-impact analytics. This role is open only to individuals located in the Chicago, IL area. It operates on a hybrid schedule, requiring you to be in the office Tuesday through Thursday.

Requirements

5–7+ years of technical project management, Agile Delivery, or Scrum Master experience
Understanding of cloud data platforms (GCP, AWS, Azure etc)
Understanding of ERPs/CRMs (e.g., SAP, Salesforce, D365)
Expert proficiency in Agile tools (Jira, Confluence, Azure DevOps, etc.)
Proven situation leadership at the Director/Sr. Director level

Nice To Haves

Certified ScrumMaster (CSM), Professional Scrum Master (PSM), or Project Management Professional (PMP) credentials are a significant plus.

Responsibilities

Facilitate daily stand-ups, end-of-end scrum check-ins, and manage structured 2-week sprint cycles across parallel technical and business-facing streams.
Act as the primary connective tissue between the Business Leads (defining data requirements), Data Engineers (building the ingestion pipelines), and Semantic Layer Leads (structuring data for performance and accessibility).
Shepherd the ingestion, pipelining, and modeling of new enterprise data sources (e.g., integrating SAP, Salesforce) into the centralized cloud data foundation.
Coordinate the deepening and optimization of established data domains with a heavy focus on data quality, standard definition mapping, metrics governance, and business-facing consumption layers.
Define, track, and manage comprehensive project schedules, critical path milestones, and key performance indicators (KPIs) to ensure predictable delivery timelines.
Monitor project scope ruthlessly to prevent scope creep, managing technical backlog refinement and ensuring resources are optimally allocated across technical pods.
Proactively identify technical roadblocks, map cross-functional dependencies between engineering and semantic modeling, and deliver actionable, data-driven status updates to project leadership.
Serve as the central point of contact for project status, translating technical velocity and delivery metrics into clear, structured progress reports for stakeholders and leadership.
Drive a culture of immediate resolution—jumping into a huddle or sending a quick chat to resolve alignment issues dynamically rather than drawing out decisions over long email threads.