Project Lead 3 - Austin, TX

NavitasPartnersAustin, TX
2dHybrid

About The Position

"Navitas Partners, LLC" is seeking an experienced Project Lead to support a Technical Project Manager on a high-impact data engineering initiative within an AI adoption program. This role will be responsible for coordinating cross-functional teams, managing project deliverables, and ensuring alignment across business, engineering, and AI stakeholders.

Requirements

  • 10+ years of experience leading technical projects in data, analytics, or cloud environments
  • Proven experience with: Data architecture, data modeling, and data warehousing
  • Business intelligence, big data, and analytics projects
  • Managing complex enterprise-level initiatives
  • Strong knowledge of SQL and database technologies
  • Experience with healthcare data initiatives (FHIR, CCDA, HL7 is a plus)
  • Expertise in project planning, budgeting, forecasting, and resource management
  • Proficiency in project management tools (Jira, Azure DevOps, MS Project, Smartsheet)
  • Excellent communication skills with ability to present to technical and non-technical audiences
  • Strong leadership and collaboration skills managing cross-functional teams
  • Experience with cloud platforms and enterprise systems
  • Strong documentation and organizational skills
  • Ability to work independently with a proactive approach

Nice To Haves

  • 8+ years of experience in healthcare or regulated environments
  • Certifications such as PMP, PgMP, PMI-ACP, or SAFe
  • Knowledge of compliance, security, and data governance frameworks
  • Understanding of SDLC, enterprise architecture, and IT processes
  • Strong consulting and stakeholder engagement skills
  • Experience with AI, advanced analytics, or digital transformation initiatives
  • Certifications in TOGAF, Azure, AWS, or GCP

Responsibilities

  • Lead planning, coordination, and execution of moderate to complex technical projects
  • Gather and document business and technical requirements
  • Develop project plans, timelines, milestones, and success metrics
  • Monitor project progress, risks, and deliverables
  • Provide regular status reporting to stakeholders and leadership
  • Coordinate across data engineering, platform, and business teams
  • Support implementation of data and AI-driven solutions
  • Ensure alignment between technical and business objectives
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