Project Lead 3 - Local TX - Interview f2f

NexivaAustin, TX
Hybrid

About The Position

Our client is seeking an experienced Project Lead 3 to support a high-impact data engineering and AI adoption initiative in Austin Texas. The role involves project planning, requirements gathering, stakeholder coordination, business analysis, project tracking, and implementation support for complex technical solutions. Candidates should have strong experience managing cross-functional teams and aligning business, engineering, and AI stakeholders while supporting cloud, data pipeline, and AI/ML initiatives. PMP certification is required, along with excellent communication, organizational, and project management skills. This role supports a Technical Project Manager for a data engineering project with an AI adoption program. The position involves managing cross-functional coordination, tracking deliverables, supporting platform and data engineering initiatives, and ensuring alignment between business, engineering, and AI stakeholders. Familiarity with cloud platforms, data pipelines, and AI/ML adoption efforts is highly desirable, along with strong communication and organizational skills.

Requirements

  • 10+ years of experience leading technical projects or programs in data, analytics, and cloud environments.
  • 10+ years of experience leading data architecture, data modeling, and data warehousing initiatives from planning through delivery.
  • 10+ years of proven ability to manage business intelligence, big data, and analytics projects in complex enterprise environments.
  • 10+ years of experience supporting healthcare data initiatives; familiarity with standards such as FHIR, CCDA, and HL7 is a plus.
  • 10+ years of working knowledge of SQL and database technologies to support project planning, estimation, and issue resolution.
  • 10+ years of strong communication skills with the ability to translate complex technical concepts for business and executive audiences.
  • 10+ years of proven leadership skills managing cross-functional teams, vendors, and complex project timelines.
  • 10+ years of strong collaboration skills to work effectively with data engineers, developers, analysts, and business partners.
  • 10+ years of experience defining project scope, objectives, milestones, timelines, and success metrics.
  • 10+ years of experience with project budgeting, forecasting, resource planning, and financial status reporting.
  • 10+ years of proficiency with project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet.
  • 10+ years of strong documentation skills for project plans, charters, schedules, and lessons learned.
  • 10+ years of working knowledge of cloud platforms, data systems, or enterprise applications.
  • 10+ years of proactive leadership style with strong attention to detail and ability to work independently.
  • PMP certification is required.
  • Candidates must already reside in Texas and be local to submit their resume.

Nice To Haves

  • 8+ years of preferred familiarity with healthcare or other regulated environments, including compliance, security, and data governance concepts.
  • 8+ years of preferred PMP, PgMP, PMI‑ACP, SAFe, or similar project management certification.
  • 8+ years of preferred Healthcare industry experience.
  • 8+ years of preferred fundamental understanding of information management principles, IT processes, SDLC, architecture, and enterprise technologies.
  • 8+ years of preferred strong consulting and facilitation skills.
  • 8+ years of preferred customer-focused communication skills with the ability to engage all levels of the organization.
  • 8+ years of preferred proactive leadership style with strong attention to detail and ability to work independently.
  • 3+ years of preferred experience supporting AI, advanced analytics, or digital transformation initiatives at the program or project level.
  • 3+ years of preferred TOGAF, Cloud Solution Architecture, or Azure/AWS/GCP certifications.

Responsibilities

  • Planning, coordination, requirements gathering, business analysis, specifications development, project planning, project monitoring, and project status reporting and system implementation of moderate to complex business solutions.
  • Managing cross-functional coordination.
  • Tracking deliverables.
  • Supporting platform and data engineering initiatives.
  • Ensuring alignment between business, engineering, and AI stakeholders.
  • Defining project scope, objectives, milestones, timelines, and success metrics.
  • Project budgeting, forecasting, resource planning, and financial status reporting.
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