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IT Services, Government Contracting, Defense

Technical Project Manager (Data Engineering & AI)

Austin, Texas, United StatesHybridFull TimePosted 2 months agoVisa sponsorship available

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Role summary

ASSYST is seeking a Technical Project Manager (Data Engineering & AI) for a client project in Austin, TX. This hybrid role requires 3 days remote and 2 days onsite (Wed & Fri). The position involves planning, coordinating, and reporting on moderate to complex business solutions, with a focus on data engineering and AI adoption programs. Responsibilities include managing cross-functional teams, tracking deliverables, supporting data and AI initiatives, and ensuring stakeholder alignment. Familiarity with cloud platforms, data pipelines, AI/ML, and healthcare data standards is highly desirable. The role requires strong project management, communication, and leadership skills, with proficiency in project management tools and a PMP certification.

ASSYST
is seeking a
Technical Project Manager (Data Engineering & AI)
to support our client project in
Austin, TX.
Position will be 3 days remote with 2 days (Wed & Fri) required to be onsite at Austin, TX.
Scope Of Work

  • 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.
  • 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.

Required Experience

  • 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.
  • Project Management Professional (PMP) certification is required.

Preferred Experience

  • 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

*ASSYST
is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law*

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