Senior Project Lead - Data Engineering and AI (Contractor) - 529601724R at RE/SPEC Inc. | TX, United States | Rezi

Senior Project Lead - Data Engineering and AI (Contractor) - 529601724R at RE/SPEC Inc.

Senior Project Lead - Data Engineering and AI (Contractor) - 529601724R

RE/SPEC Inc. · TX, United States

Today

Senior Project Lead - Data Engineering and AI (Contractor) - 529601724R

RE/SPEC Inc. · TX, United States

2 hours ago
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About the Role

This is a high-impact opportunity for a seasoned project management professional to step into a critical leadership role at the intersection of data engineering, cloud modernization, and artificial intelligence. You will serve as the primary project lead supporting a Technical Program Manager on a complex, enterprise-wide data and AI adoption program within a major Texas health and human services agency. Your work will directly influence how the agency leverages data to serve millions of Texans — coordinating cross-functional teams, managing deliverables across business and engineering stakeholders, and keeping a sophisticated technology transformation on track and on time.

Responsibilities

  • Own the day-to-day coordination and execution of a data engineering and AI adoption program.
  • Define and track project scope, milestones, timelines, and success metrics.
  • Manage budgets, forecast resource needs, and deliver clear financial status reports.
  • Serve as the connective tissue between data engineers, developers, business analysts, and executive stakeholders.
  • Translate complex technical concepts into actionable insights for non-technical audiences.
  • Ensure alignment across all workstreams.
  • Lead cross-functional teams and vendor relationships.
  • Facilitate requirements gathering and business analysis.
  • Drive specifications development through to system implementation.
  • Maintain rigorous project documentation, including charters, project plans, schedules, and lessons learned.
  • Support platform and data engineering initiatives.
  • Track deliverables tied to cloud and AI/ML adoption efforts.
  • Proactively surface risks and blockers before they become issues.

Requirements

  • 10 years of hands-on experience leading technical projects or programs in data, analytics, and cloud environments.
  • 10 years of hands-on experience driving data architecture, data modeling, and data warehousing initiatives from planning through delivery.
  • 10 years of hands-on experience managing business intelligence, big data, and analytics projects in complex enterprise settings.
  • 10 years of hands-on experience supporting healthcare data initiatives, with familiarity in standards such as FHIR, CCDA, and HL7.
  • 10 years of hands-on experience applying working knowledge of SQL and database technologies to support project planning, estimation, and issue resolution.
  • 10 years of hands-on experience communicating complex technical concepts clearly to business and executive audiences.
  • 10 years of hands-on experience leading cross-functional teams, vendors, and complex project timelines.
  • 10 years of hands-on experience collaborating effectively with data engineers, developers, analysts, and business partners.
  • 10 years of hands-on experience defining project scope, objectives, milestones, timelines, and success metrics.
  • 10 years of hands-on experience managing project budgets, forecasting, resource planning, and financial status reporting.
  • Proficiency with project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet.
  • Experience producing high-quality project documentation including plans, charters, schedules, and lessons learned.
  • Working knowledge of cloud platforms, data systems, or enterprise applications.
  • Demonstrated proactive leadership with strong attention to detail and the ability to work independently.
  • An active Project Management Professional (PMP) certification is mandatory and must be clearly listed on your resume.

Skills

  • Data Engineering
  • Cloud Modernization
  • Artificial Intelligence
  • Data and AI Adoption
  • Project Management
  • Data Architecture
  • Data Modeling
  • Data Warehousing
  • Business Intelligence
  • Big Data
  • Analytics
  • SQL
  • Database Technologies
  • Jira
  • Azure DevOps
  • MS Project
  • Smartsheet
  • Cloud Platforms
  • Data Systems
  • Enterprise Applications
  • FHIR
  • CCDA
  • HL7

Location

  • Austin, TX

Work Type

  • Hybrid
  • Remote
  • On-site

Experience Level

  • Senior
  • 10+ years

Education Level

  • PMP Certification

About the Company

  • Big challenges need bold thinkers.
  • RESPEC is 100% employee-owned, which means we take ownership of each challenge.
  • Here, your ideas drive real solutions.
  • Since 1969, we’ve tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.
  • At RESPEC, you’ll work alongside clients to take on critical problems.
  • We bring deep technical knowledge, real-world experience, and a commitment to work that matters.
  • If you're looking for a place where your contributions have real impact, you’ll fit right in.

Equal Opportunity

  • All your information will be kept confidential according to EEO guidelines.