Technical Project Manager – Data Engineering & AI Programs

ASSYST, Inc.•Austin, TX

1d•Hybrid

About The Position

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

Requirements

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
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

Nice To Haves

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
Familiarity with cloud platforms, data pipelines, and AI/ML adoption efforts
Familiarity with standards such as FHIR, CCDA, and HL7 is a plus

Responsibilities

Managing cross-functional coordination
Tracking deliverables
Supporting platform and data engineering initiatives
Ensuring alignment between business, engineering, and AI stakeholders
Leading technical projects or programs in data, analytics, and cloud environments
Leading data architecture, data modeling, and data warehousing initiatives from planning through delivery
Managing business intelligence, big data, and analytics projects in complex enterprise environments
Supporting healthcare data initiatives
Translating complex technical concepts for business and executive audiences
Managing cross-functional teams, vendors, and complex project timelines
Collaborating with data engineers, developers, analysts, and business partners
Defining project scope, objectives, milestones, timelines, and success metrics
Managing project budgeting, forecasting, resource planning, and financial status reporting
Documenting project plans, charters, schedules, and lessons learned
Supporting AI, advanced analytics, or digital transformation initiatives at the program or project level