Staff TPM, AI-Driven Enterprise Delivery

Teradata Corporation (SE)

Charleston (WV)

On-site

USD 169,000 - 254,000

Full time

14 days+

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Job summary

Teradata Corporation is seeking a Staff Technical Program Manager to drive delivery of complex, multi-team programs across our product portfolio, from kickoff through launch. You will own planning, execution, and delivery tracking, build detailed plans and risk dashboards, facilitate cross-team coordination, and translate status for product leadership.

You will also lead launches with engineering, QA, documentation, support, and go-to-market teams, and apply foundational AI skills to improve

Qualifications

6+ years of technical program management experience, including at least 3 years in enterprise software, cloud infrastructure, or data analytics.
Demonstrated experience managing multi-team delivery programs involving engineering teams of 20 or more.
Strong working knowledge of cloud platforms (AWS, Azure, or GCP), data systems, or SaaS product delivery cycles.
Hands-on experience with Agile delivery methodologies, sprint planning, and program-level tracking tools.
Excellent communication and facilitation skills — able to run effective meetings, surface issues clearly, and write crisp status reports.
Foundational AI skills and the ability to understand how AI can be applied to improve outcomes in your area of expertise.

Responsibilities

Own planning, execution, and delivery tracking for complex technical programs spanning multiple engineering teams and product areas.
Build and maintain detailed program plans, dependency maps, risk registers, and milestone tracking dashboards.
Facilitate cross-team coordination and decision-making to keep programs on track — running standups, program syncs, and steering reviews.
Translate technical program status into crisp stakeholder updates for product leadership and senior engineering audiences.
Identify and escalation delivery risks early; lead focused retrospectives to drive continuous process improvement.
Coordinate launch readiness activities across engineering, QA, documentation, support, and go-to-market teams.
Support data-driven prioritization by maintaining program metrics and surfacing trade-off analysis to product and engineering leadership.
Apply foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce.