Sr. Technical Project Manager

Hazelseybert; Chicago (IL); On-site; USD 90,000 - 120,000; Full time

Job summary

Hazelseybert is seeking a Technical Project Manager for a 6-month hybrid contract in Chicago, IL. This role focuses on managing data engineering pods while ensuring a smooth integration of new enterprise data sources into a centralized cloud data foundation.

The ideal candidate has 5-7 years of experience in technical project management, strong Agile/Scrum leadership skills, and the ability to navigate complex stakeholder environments. Candidates must be comfortable with remote work and travel requirements.

Qualifications

• Experience with enterprise data architecture and data warehousing.
• Hands-on management of projects on major cloud platforms.
• Solid understanding of data pipelines (ETL/ELT) and database management (SQL).

Responsibilities

• Facilitate daily stand-ups and manage sprint cycles.
• Shepherd ingestion of new data sources into cloud data foundation.
• Coordinate optimization of established data domains.

Skills

Agile/Scrum Leadership

Data Pipeline Management

Stakeholder Coordination

Risk & Dependency Management

Education

5–7+ years in technical project management or Scrum Master

Certifications: CSM, PSM, PMP

Tools

Jira

Confluence

Azure DevOps

Job description

Job Description

We are seeking a high-energy, pragmatic, and cloud-fluent Technical Project Manager for a 6-month remote/hybrid contract (with strong potential for extension).

Our client is entering Phase 2 of an enterprise-wide initiative to scale their centralized data repository—the ultimate "source of truth" across the enterprise that will eventually fuel corporate reporting, and insights. This role bridges the gap between technical execution and project coordination. You will sit directly over two small, data engineering pods (4–5 developers total) and a Senior System Architect to guide, remove roadblocks, and keep deliverables strictly on track.

This is a remote hybrid role which can be located in: IL, MI, IA, GA, WI, KC, NM or SC.

Candidates outside of IL may be asked to travel up to 50% in a given month to be in office Tuesday–Thursday.

What You Will Do

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 5–6 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 resolution—jumping in a room or sending a quick chat to resolve issues dynamically rather than drawing out decisions over email.

Ideal Profile

The Scrappy Delivery Agent: You don't 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 don't 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.

Requirements

Required Experience

Background: 5–7+ 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 client’s architecture is rooted in Google Cloud Platform (GCP), proven experience successfully standing up or scaling enterprise platforms is highly transferable and welcomed.

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.