NEW JOB OPENING
SENIOR PROJECT MANAGER LEAD (AI & DATA ENGINEERING)
IN AUSTIN, TX, USA!

 

Date Posted: 05/26/2026
Hiring Organization: Rose International
Position Number: 501746
Industry: Government
Job Title: Senior Project Manager Lead (AI & Data Engineering)
Job Location: Austin, TX, USA, 78751
Work Model: Hybrid
Work Model Details: 2 days on-site, 3 days remote
Shift: M-F, 8-5
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 90.00
Max Hourly Rate($): 100.00
Must Have Skills/Attributes: Azure, Big Data, Budgeting, CCDA, Cloud, Data Analytics, DevOps, Finance Reporting, Forecasting, Healthcare, HL7, JIRA, MS Project, PMP, Project Management, SmartSheet, SQL, State Agency experience
Experience Desired: Leading technical projects or programs in data, analytics, and cloud environments (10+ yrs); Leading data architecture, data modeling, and data warehousing initiatives (planning thru delivery) (10+ yrs); Manage business intelligence, big data, and analytics projects in complex enterprise environments (10+ yrs); Supporting healthcare data initiatives; familiarity with standards such as FHIR, CCDA, and HL7 (10+ yrs); Knowledge of SQL and database technologies to support estimation, planning, and issue resolution (10+ yrs); Budgeting, forecasting, resource management, and financial reporting (10+ yrs); Proficiency with project management tools (e.g., Jira, Azure DevOps, MS Project, Smartsheet) (10+ yrs)
Required Minimum Education: High School Diploma or equivalent
Preferred Education: Bachelor’s Degree
Required Certifications/Licenses: PMP Certification
Preferred Certifications/Licenses: PMP, PgMP, PMI-ACP, SAFe, or similar project management certification

**C2C is not available**

 

Job Description
*** Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY. ***

Required Education:
· High School Diploma or equivalent

Education:
· Bachelor’s degree (Preferred): In Computer Science, Information Systems, Business, Engineering, or a related field; 10+ years of relevant professional experience may be substituted in lieu of a degree

Required Certification:
· PMP certification is required and must be clearly listed on the resume (proof may be requested, must be listed on resume and verifiable.)

Preferred Certification:
· PMP, PgMP, PMI-ACP, SAFe, or similar project management certification preferred.
· Certifications in TOGAF, Cloud Architecture, or platforms such as AWS, Azure, or GCP.

Required Skills and experience:
(Candidates must meet all minimum requirements to be considered)
· 10+ years (Required): Experience leading technical projects or programs in data, analytics, and cloud environments.
· 10+ years (Required): Experience leading data architecture, data modeling, and data warehousing initiatives from planning through delivery.
· 10+ years (Required): Proven ability to manage business intelligence, big data, and analytics projects in complex enterprise environments.
· 10+ years (Required): Experience supporting healthcare data initiatives; familiarity with standards such as FHIR, CCDA, and HL7.
· 10+ years (Required): Working knowledge of SQL and database technologies to support estimation, planning, and issue resolution.
· 10+ years (Required): Strong communication skills with the ability to translate complex technical concepts for business and executive audiences.
· 10+ years (Required): Proven leadership experience managing cross-functional teams, vendors, and complex timelines.
· 10+ years (Required): Strong collaboration skills working with engineers, developers, analysts, and business stakeholders.
· 10+ years (Required): Experience defining project scope, objectives, timelines, milestones, and success metrics.
· 10+ years (Required): Experience with budgeting, forecasting, resource management, and financial reporting.
· 10+ years (Required): Proficiency with project management tools (e.g., Jira, Azure DevOps, MS Project, Smartsheet).
· 10+ years (Required): Strong documentation skills across project plans, charters, schedules, and reporting artifacts.
· 10+ years (Required): Working knowledge of cloud platforms, data systems, or enterprise applications.
· 10+ years (Required): Demonstrated ability to work independently with a proactive leadership style and strong attention to detail.
· 8+ years (Required): Advanced experience performing complex project management tasks with a high degree of creativity, autonomy, and problem-solving.

Preferred Qualifications:
· 8+ years (Preferred): Experience working in healthcare or other regulated environments, including compliance, security, and data governance.
· 8+ years (Preferred): Additional project management certifications such as PgMP, PMI-ACP, or SAFe.
· 8+ years (Preferred): Healthcare industry experience.
· 8+ years (Preferred): Strong understanding of IT processes, SDLC, enterprise architecture, and information management principles.
· 8+ years (Preferred): Consulting, facilitation, and stakeholder engagement experience.
· 8+ years (Preferred): Customer-focused communication skills with the ability to engage all organizational levels.
· 8+ years (Preferred): Proven independent leadership with attention to detail.
· 3+ years (Preferred): Experience supporting AI, advanced analytics, or digital transformation programs.
· 3+ years (Preferred): Experience with AI/ML adoption initiatives, including coordination with data science teams.
· 3+ years (Preferred): Certifications in TOGAF, Cloud Architecture, or platforms such as AWS, Azure, or GCP.

Summary:
· The Senior Technical Project Manager leads and supports complex, enterprise-level data engineering and AI adoption initiatives.
· This role is responsible for planning, coordination, requirements gathering, business analysis, and successful delivery of moderate to highly complex technical projects across data, analytics, and cloud platforms.
· The position works closely with a Technical Project Manager and cross-functional stakeholders to drive alignment between business, engineering, and AI teams.
· The individual operates with a high degree of independence, leveraging deep experience and judgment to accomplish project goals while managing competing priorities.
· A proactive leadership approach, strong communication skills, and the ability to translate technical concepts for diverse audiences are critical to success.

Responsibilities:
· Lead planning, coordination, and execution of complex data engineering and AI-related projects.
· Define and manage project scope, milestones, timelines, success metrics, and deliverables.
· Support technical project leadership for data engineering, cloud, and AI adoption programs.
· Facilitate requirements gathering, business analysis, and functional/technical specifications development.
· Manage cross-functional coordination between business, engineering, data, and AI stakeholders.
· Track project deliverables, dependencies, risks, and issues; implement mitigation strategies.
· Oversee project budgeting, forecasting, resource planning, and financial reporting.
· Ensure alignment of deliverables with organizational objectives and regulatory requirements.
· Drive Agile or hybrid SDLC processes, including sprint planning, execution, and reporting.
· Communicate project updates, risks, and status to stakeholders including executive leadership.
· Collaborate with data architects, engineers, and analysts on platform and pipeline initiatives.
· Ensure proper documentation of project artifacts including charters, schedules, and lessons learned.
· Facilitate vendor and stakeholder management across complex enterprise environments.
· Support adoption of cloud technologies, data pipelines, and AI/ML-driven initiatives.
· Promote best practices in project management, governance, and delivery execution.

  • **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

  • **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**

 

Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.

California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.

Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).

 

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About Rose

  • Founded in 1993
  • Office Locations Across the U.S.
  • 150+ Clients: Corporations and Government Agencies
  • Employee Oriented Company
  • Challenging Assignments Across the U.S.
  • Continuous Professional Development

I had a very positive experience working for Rose. The entire process is very efficient and easy.

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It was great working for Rose International. Everyone was extremely helpful.

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Rose International maintained good communication during assignments and are very informative through email and phone calls.

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I believe the best thing that Rose HR has going for it is the incredible responsiveness. Everyone is very quick to reply to any concerns, and contacts the contracted employees very quickly and efficiently.

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