Senior Technical Project Manager – Data Engineering & AI

Senior Technical Project Manager – Data Engineering & AI

Location: Austin, TX (Hybrid)

A Texas-based organization is seeking a Senior Technical Project Manager to lead complex data engineering, analytics, and AI-related initiatives. This role will partner with technical and business stakeholders to manage project delivery, coordinate cross-functional teams, and drive successful execution of enterprise data and cloud-based programs.

Important Requirements

• Long-term contract opportunity
• Hybrid role located in Austin, Texas
• Candidates must be local to the Austin area
• Must be authorized to work in the United States without sponsorship
• W2 only
• No C2C or third-party vendors

Key Responsibilities

• Lead large-scale data engineering, analytics, cloud, and AI-related projects from planning through implementation
• Coordinate activities across business, engineering, architecture, and vendor teams
• Define project scope, objectives, milestones, timelines, budgets, and success metrics
• Track deliverables, manage risks, and ensure alignment with strategic business goals
• Facilitate communication between technical and non-technical stakeholders
• Support data architecture, data warehousing, business intelligence, and analytics initiatives
• Manage project documentation including project plans, status reports, charters, schedules, and lessons learned
• Monitor resource utilization, forecasting, budgeting, and financial reporting
• Utilize project management tools such as Jira, Azure DevOps, MS Project, and Smartsheet
• Support AI adoption, advanced analytics, and digital transformation initiatives

Required Qualifications

• 10+ years of experience leading technical projects or programs in data, analytics, cloud, or enterprise technology environments
• Experience managing data architecture, data warehousing, business intelligence, and analytics initiatives
• Working knowledge of SQL and database technologies
• Strong experience managing project budgets, forecasts, schedules, resources, and vendor relationships
• Proven success leading cross-functional technical teams in complex enterprise environments
• Strong communication skills with the ability to translate technical concepts for business and executive audiences
• Experience with Agile and traditional project management methodologies
• Proficiency with Jira, Azure DevOps, MS Project, Smartsheet, or similar tools

Preferred Qualifications

• PMP, PgMP, PMI-ACP, SAFe, or similar project management certification
• Experience supporting AI, advanced analytics, or digital transformation initiatives
• Experience working in regulated or highly governed environments
• Knowledge of cloud platforms such as Azure, AWS, or Google Cloud Platform
• Familiarity with healthcare data standards including FHIR, HL7, or CCDA
• TOGAF, Cloud Architecture, or related technical certifications
• Strong consulting, facilitation, and stakeholder management skills

This title will perform much better on LinkedIn and job boards because candidates will immediately understand that this is not a generic PM role—it''s a senior technical PM focused on data engineering, analytics, cloud, and AI programs.