Senior Technical Program Manager – AI-Driven Delivery

Teradata; Honolulu (HI); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Teradata is seeking a Manager, Technical Program Manager to drive delivery of multi-team technical programs across the product portfolio. You will own execution from kickoff to launch, building strong relationships with engineering, product, and business partners.

You will coordinate planning, risk tracking, and launch readiness across engineering, QA, documentation, support, and go‑to‑market teams while applying foundational AI skills to boost productivity and impact.

Qualifications

• 6+ years of technical program management experience in enterprise software, cloud or data analytics.
• Experience managing multi-team delivery programs with large engineering teams.
• Strong working knowledge of cloud platforms (AWS, Azure or GCP) and data systems.
• Hands-on experience with Agile delivery methodologies and program-level tracking tools.

Responsibilities

• Own planning, execution, and delivery tracking for complex programs spanning multiple engineering teams.
• Build and maintain detailed program plans, dependency maps, risk registers, and milestone dashboards.
• Facilitate cross-team coordination and decision-making to keep programs on track.
• Translate program status into crisp stakeholder updates for product leadership and senior engineering audiences.
• Identify and mitigate delivery risks; lead retrospectives to drive process improvement.
• Coordinate launch readiness activities across engineering, QA, documentation, support, and GTM teams.
• Support data-driven prioritization by surfacing trade-off analysis to leadership.
• Apply foundational AI skills to explore ways AI can enhance productivity and impact.

Skills

Program management

Enterprise software

Cloud platforms

Agile delivery

Communication

AI basics

Tools

Jira

Confluence

Smartsheet

Job description

Teradata is seeking a Manager, Technical Program Manager to drive delivery of multi-team technical programs across the product portfolio. You will own execution from kickoff to launch, building strong relationships with engineering, product, and business partners.

You will coordinate planning, risk tracking, and launch readiness across engineering, QA, documentation, support, and go‑to‑market teams while applying foundational AI skills to boost productivity and impact.