Technical Project Lead (Data & AI)

Total Required Experience in Years: Minimum 10%2B Years

(Local Austin Candidates Only)

Job Description: Seeking an experienced Technical Project Lead to support enterprise-level data engineering, analytics, cloud modernization, and AI adoption initiatives within a large-scale enterprise environment. The ideal candidate should possess strong expertise in technical project management, enterprise data engineering, cloud platforms, data warehousing, business intelligence, and AI program delivery. This role requires leading cross-functional technical teams, managing enterprise project execution, coordinating analytics and AI-focused workstreams, and ensuring alignment between technical teams, business stakeholders, and executive leadership. The candidate will oversee planning, scheduling, budgeting, governance, risk management, stakeholder communication, and successful delivery of enterprise data and AI initiatives while supporting healthcare-related and regulated data environments.

Key Responsibilities:

• Lead and manage enterprise data engineering, analytics, and AI adoption initiatives from planning through execution
• Coordinate cross-functional teams including data engineers, architects, analysts, developers, vendors, and business stakeholders
• Define project scope, milestones, timelines, budgets, deliverables, success metrics, and implementation plans
• Facilitate communication between technical teams, business stakeholders, and executive leadership
• Support enterprise data warehousing, cloud migration, analytics, business intelligence, and data integration initiatives
• Monitor project risks, dependencies, issue resolution, schedules, and project performance metrics
• Manage project financials including forecasting, budgeting, resource allocation, and status reporting
• Utilize Jira, Azure DevOps, MS Project, Smartsheet, and enterprise project management tools to support delivery execution
• Maintain governance artifacts including project charters, schedules, meeting documentation, lessons learned, and technical reports
• Support enterprise AI, advanced analytics, digital transformation, and cloud modernization programs
• Ensure alignment with compliance requirements, organizational goals, governance frameworks, and security standards
• Facilitate Agile/Scrum ceremonies, stakeholder meetings, workshops, sprint planning sessions, and executive updates

Additional Responsibilities:

• Support healthcare-related data initiatives involving FHIR, HL7, and CCDA standards
• Assist with enterprise data governance, compliance, and security alignment initiatives
• Coordinate third-party vendors and enterprise solution implementation activities
• Drive process optimization, delivery improvements, and technical program efficiency initiatives
• Provide leadership across Agile, Scrum, and hybrid project delivery environments

Required Skills:

• Minimum 10 years of experience leading technical projects in data, analytics, cloud, or enterprise IT environments
• Strong experience with data architecture, data warehousing, data modeling, and business intelligence initiatives
• Experience managing enterprise analytics, cloud transformation, big data, or AI-related programs
• Working knowledge of SQL and enterprise database technologies
• Experience using Jira, Azure DevOps, MS Project, Smartsheet, or similar project delivery tools
• Strong leadership, communication, facilitation, stakeholder management, and presentation skills
• Experience managing budgets, timelines, project risks, forecasting, and resource planning
• Familiarity with cloud platforms including Azure, AWS, or GCP
• Strong documentation, governance, reporting, and project coordination capabilities
• Ability to work independently within fast-paced enterprise environments
• Experience supporting healthcare data standards such as FHIR, HL7, and CCDA preferred

Qualifications:

• Healthcare industry experience preferred
• Experience supporting regulated environments, compliance, security, and data governance initiatives preferred
• Familiarity with SDLC methodologies, enterprise architecture, and IT governance frameworks preferred
• Local Austin candidates only required

Education:

• Bachelors degree in Computer Science, Information Systems, Engineering, Business, or related field required

Certifications:

• PMP certification preferred
• PgMP certification preferred
• PMI-ACP certification preferred
• SAFe certification preferred
• TOGAF certification preferred
• Azure certification preferred
• AWS certification preferred
• GCP certification preferred