RKube Inc

RKube Inc

Technical Product Manager with AI experience

Austin, Texas, USA · contract, third party

Sponsorship not specifiedDetected 55 days ago
SQLAWSGCPAzureCloud PlatformsDevOpsMachine LearningData EngineeringProject ManagementJiraStakeholder ManagementForecastingBudgetingHL7/FHIRLeadershipCommunication

About the role

  • This role requires strong experience managing technical projects involving data architecture, analytics platforms, cloud technologies, and enterprise data initiatives.
  • Coordinate with business stakeholders, data engineers, architects, analysts, and AI teams.

Responsibilities

  • Lead complex technical projects in data engineering, analytics, and cloud environments.
  • Manage project planning, execution, monitoring, and delivery activities.
  • Support AI adoption and digital transformation initiatives.
  • Maintain project documentation including charters, schedules, reports, and lessons learned.
  • Long-Term Contract Job Summary HHSC is seeking an experienced Technical Project Manager to support enterprise-level data engineering and AI adoption initiatives.
  • The ideal candidate will lead cross-functional teams, manage project lifecycles, coordinate stakeholders, and ensure successful delivery of cloud, analytics, and AI-driven solutions.

Requirements

  • Required Skills & Experience 10+ years of experience managing technical projects in data, analytics, or cloud environments.
  • Strong experience with data architecture, data modeling, and data warehousing projects.
  • Experience with project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet.
  • AI experience is a must and PMP certification is a considered as mandatory requirement.

Nice to have

  • Experience with AI/ML or digital transformation initiatives.
  • Knowledge of cloud platforms including AWS, Azure, or Google Cloud Platform.
  • Certifications such as PgMP, PMI-ACP, SAFe, TOGAF, or Cloud certifications are preferred.

This listing is sourced directly from RKube Inc's careers page and normalized into a canonical job model.