Technical Project Manager – Data Engineering & AI Programs

ASSYST is seeking a Technical Project Manager – Data Engineering & AI Programs to support our client project in Austin, TX.

Work mode: Hybrid

Position will be 3 days remote with 2 days (Wednesdays and Fridays) required to be onsite

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.

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.