Project Manager

Healthcare Data & Analytics Project Manager OR Enterprise Data Project ManagerNote : Project Management Professional (PMP) certification is required and should be noted on the resume. Proof of certification may be requestedJob Location : Austin Texas Job ID :529601724 Client : Texas Health and Human Services Commission. Mode of Interview : Through Microsoft Teams Exp : Minimum 15+ Years of ExperienceNOTE : Healthcare industry experience is Must Certification : Must - Any Of below -- TOGAF, Cloud Solution Architecture, or Azure/AWS/GCP certificationsPosition will be 3 days remote with 2 days (Wednesdays and Fridays) required to be onsite at the location listed above. Program will only accept LOCAL ONLY candidates for this position. Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas and be local to submit their resume. Responsible for the 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. Project Management Professional (PMP) certification is required and should be noted on the resume. Proof of certification may be requested. 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. II. CANDIDATE SKILLS AND QUALIFICATIONS Experience leading technical projects or programs in data, analytics, and cloud environments. Experience leading data architecture, data modeling, and data warehousing initiatives from planning through delivery. Proven ability to manage business intelligence, big data, and analytics projects in complex enterprise environments. Experience supporting healthcare data initiatives; familiarity with standards such as FHIR, CCDA, and HL7 is a plus. Working knowledge of SQL and database technologies to support project planning, estimation, and issue resolution. Strong communication skills with the ability to translate complex technical concepts for business and executive audiences. Proven leadership skills managing cross-functional teams, vendors, and complex project timelines. Strong collaboration skills to work effectively with data engineers, developers, analysts, and business partners. Experience defining project scope, objectives, milestones, timelines, and success metrics. Experience with project budgeting, forecasting, resource planning, and financial status reporting. Proficiency with project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet. Strong documentation skills for project plans, charters, schedules, and lessons learned. Working knowledge of cloud platforms, data systems, or enterprise applications. Proactive leadership style with strong attention to detail and ability to work independently. Familiarity with healthcare or other regulated environments, including compliance, security, and data governance concepts. PMP, PgMP, PMI ACP, SAFe, or similar project management certification preferred. Healthcare industry experienceFundamental understanding of information management principles, IT processes, SDLC, architecture, and enterprise technologies. Strong consulting and facilitation skills. Customer-focused communication skills with the ability to engage all levels of the organization. Proactive leadership style with strong attention to detail and ability to work independently. Experience supporting AI, advanced analytics, or digital transformation initiatives at the program or project level. TOGAF, Cloud Solution Architecture, or Azure/AWS/GCP certificationsYearsExperience Experience leading technical projects or programs in data, analytics, and cloud environments. Experience leading data architecture, data modeling, and data warehousing initiatives from planning through delivery. Proven ability to manage business intelligence, big data, and analytics projects in complex enterprise environments. Experience supporting healthcare data initiatives; familiarity with standards such as FHIR, CCDA, and HL7 is a plus. Working knowledge of SQL and database technologies to support project planning, estimation, and issue resolution. Strong communication skills with the ability to translate complex technical concepts for business and executive audiences. Proven leadership skills managing cross-functional teams, vendors, and complex project timelines. Strong collaboration skills to work effectively with data engineers, developers, analysts, and business partners. Experience defining project scope, objectives, milestones, timelines, and success metrics. Experience with project budgeting, forecasting, resource planning, and financial status reporting. Proficiency with project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet. Strong documentation skills for project plans, charters, schedules, and lessons learned. Working knowledge of cloud platforms, data systems, or enterprise applications. Proactive leadership style with strong attention to detail and ability to work independently. Familiarity with healthcare or other regulated environments, including compliance, security, and data governance concepts. PMP, PgMP, PMI‑ACP, SAFe, or similar project management certification preferred. Healthcare industry experience preferred. Fundamental understanding of information management principles, IT processes, SDLC, architecture, and enterprise technologies. Strong consulting and facilitation skills. Customer-focused communication skills with the ability to engage all levels of the organization. Proactive leadership style with strong attention to detail and ability to work independently. Experience supporting AI, advanced analytics, or digital transformation initiatives at the program or project level. TOGAF, Cloud Solution Architecture, or Azure/AWS/GCP certifications preferred