Staff Technical Program Leader - AI-Driven Delivery

Teradata Corporation (SE); Juneau (AK); On-site; USD 120,000 - 160,000; Full time

Job summary

Teradata is seeking a Staff Technical Program Manager to drive delivery of large-scale, cross-team technical programs across the product portfolio, owning execution from kickoff through launch.

You will partner with Product, Engineering, QA, Documentation, Support, and GTM teams to build detailed plans, manage risks, and report progress to leadership while applying AI fundamentals to improve productivity and outcomes.

Qualifications

• 6+ years of technical program management experience in enterprise software, cloud infrastructure, or data analytics.
• Demonstrated experience managing multi-team delivery programs with large engineering teams.
• Strong working knowledge of cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Agile delivery methodologies, sprint planning, and program-level tracking tools.
• Excellent communication and facilitation skills for meetings and status reports.
• Foundational AI skills and ability to apply AI to improve outcomes.

Responsibilities

• Own planning, execution, and delivery tracking for complex programs across multiple teams.
• Build and maintain detailed program plans, dependency maps, risk registers, and dashboards.
• Facilitate cross-team coordination and decision-making to keep programs on track.
• Translate program status into crisp updates for product leadership and engineering.
• Identify risks early and lead retrospectives for continuous improvement.
• Coordinate launch readiness with engineering, QA, docs, support, and GTM.

Skills

Technical PM

Enterprise software

Cloud platforms

Agile delivery

Stakeholder comms

AI foundations

Tools

Jira

Confluence

Smartsheet

Job description

Teradata is seeking a Staff Technical Program Manager to drive delivery of large-scale, cross-team technical programs across the product portfolio, owning execution from kickoff through launch.

You will partner with Product, Engineering, QA, Documentation, Support, and GTM teams to build detailed plans, manage risks, and report progress to leadership while applying AI fundamentals to improve productivity and outcomes.