Technical Data Warehouse Project Manager (PMP Required) – State of Texas

Technical Data Warehouse Project Manager (PMP Required) – State of Texas

Location: Austin, TX (Hybrid – 3 Days Remote / 2 Days Onsite: Wednesdays & Fridays)
Client: State of Texas
Employment Type: Contract (C2C/W2)
Interview: Face-to-Face (Mandatory)

Submission Notes

Please submit only candidates who meet all of the following mandatory requirements:

• Local to the Austin, TX area (within approximately 1–2 hours driving distance)
• PMP Certified
• Strong Technical Data Warehousing background
• Experience leading enterprise Data Engineering/Data Warehouse projects
• Available for Face-to-Face interview
• Able to work the required hybrid schedule (2 days onsite every Wednesday and Friday)

Important Submission Requirements

• LOCAL AUSTIN, TX CANDIDATES ONLY
• Candidates should reside within 1–2 hours driving distance of Austin, TX.
• Project Management Professional (PMP) Certification is Mandatory and must be clearly mentioned on the resume. Proof of certification may be requested.
• Only submit candidates with a strong Technical Data Warehousing background.
• Experience supporting AI/ML initiatives is a significant plus.

Position Overview

The State of Texas is seeking an experienced Technical Data Warehouse Project Manager to lead enterprise data engineering and AI adoption initiatives. This role requires an experienced Technical Project Manager with deep knowledge of Data Warehousing, Data Engineering, Cloud Technologies, Analytics, and Enterprise Data Platforms.

The selected candidate will manage cross-functional teams, coordinate business and technical stakeholders, oversee project execution, monitor deliverables, and ensure successful implementation of complex enterprise data solutions.

Required Qualifications

• Minimum 14+ years of IT experience with extensive Project Management experience.
• Proven experience managing Technical Data Warehouse and Data Engineering projects.
• Experience leading Data Architecture, Data Modeling, and Enterprise Data Warehouse initiatives.
• Strong background managing Business Intelligence, Big Data, Analytics, and Cloud projects.
• Working knowledge of SQL and database technologies.
• Experience managing enterprise Data Engineering and Cloud Platform initiatives.
• Experience with AI/ML, Advanced Analytics, or Digital Transformation projects is highly preferred.
• Strong understanding of SDLC, enterprise architecture, and information management principles.
• Excellent stakeholder management, communication, leadership, and vendor management skills.

Preferred Technical Skills

• Enterprise Data Warehousing
• Data Engineering
• Data Architecture
• Data Modeling
• SQL
• Cloud Platforms (Azure, AWS, or Google Cloud Platform)
• AI/ML Programs
• Business Intelligence
• Big Data
• Analytics Platforms
• Azure DevOps
• Jira
• Microsoft Project
• Smartsheet

Preferred Industry Experience

• Healthcare Data Projects
• FHIR, HL7, CCDA (Preferred)
• Regulated Industry Experience
• Data Governance & Security

Preferred Certifications

• PMP (Mandatory)
• PgMP
• PMI-ACP
• SAFe
• TOGAF
• Azure/AWS/Google Cloud Platform Cloud Certifications

Responsibilities

• Lead enterprise Technical Data Warehouse and Data Engineering projects from initiation through implementation.
• Manage project scope, timelines, budgets, risks, resources, and deliverables.
• Coordinate with business stakeholders, architects, data engineers, developers, and AI teams.
• Drive project planning, status reporting, governance, and executive communications.
• Support AI adoption and advanced analytics initiatives.
• Ensure successful delivery of enterprise data platform solutions.