Job ID: TX-529601724R
Hybrid/Local TX Govt/Healthcare DW PM/Data Architect (TOGAF/Azure/AWS/Google Cloud Platform/PMP/PgMP/PMI-ACP/SAFe/15+) with DW, BI, AI/ML, big data, SQL, FHIR/CCDA/HL7, Jira/Azure DevOps/MS Project/Smartsheet experience
Location: Austin, TX (HHSC)
Duration: 12 Months
Position 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.
Skills:
10 Required Experience leading technical projects or programs in data, analytics, and cloud environments.
10 Required Experience leading data architecture, data modeling, and data warehousing initiatives from planning through delivery.
10 Required Proven ability to manage business intelligence, big data, and analytics projects in complex enterprise environments.
10 Required Experience supporting healthcare data initiatives; familiarity with standards such as FHIR, CCDA, and HL7 is a plus.
10 Required Working knowledge of SQL and database technologies to support project planning, estimation, and issue resolution.
10 Required Strong communication skills with the ability to translate complex technical concepts for business and executive audiences.
10 Required Proven leadership skills managing cross-functional teams, vendors, and complex project timelines.
10 Required Strong collaboration skills to work effectively with data engineers, developers, analysts, and business partners.
10 Required Experience defining project scope, objectives, milestones, timelines, and success metrics.
10 Required Experience with project budgeting, forecasting, resource planning, and financial status reporting.
10 Required Proficiency with project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet.
10 Required Strong documentation skills for project plans, charters, schedules, and lessons learned.
10 Required Working knowledge of cloud platforms, data systems, or enterprise applications.
10 Required Proactive leadership style with strong attention to detail and ability to work independently.
8 Preferred Familiarity with healthcare or other regulated environments, including compliance, security, and data governance concepts.
8 Preferred PMP, PgMP, PMIACP, SAFe, or similar project management certification preferred.
8 Preferred Healthcare industry experience preferred.
8 Preferred Fundamental understanding of information management principles, IT processes, SDLC, architecture, and enterprise technologies.
8 Preferred Strong consulting and facilitation skills.
8 Preferred Customer-focused communication skills with the ability to engage all levels of the organization.
8 Preferred Proactive leadership style with strong attention to detail and ability to work independently.
3 Preferred Experience supporting AI, advanced analytics, or digital transformation initiatives at the program or project level.
3 Preferred TOGAF, Cloud Solution Architecture, or Azure/AWS/Google Cloud Platform certifications preferred
Job Description
8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.
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.
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