Technical Program Manager
Ntt Data Aivista
| Company | Ntt Data Aivista |
| Category | Engineering |
| Location | Bellevue |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 26 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
Technical Program Manager
Seattle | Hybrid
NTT DATA AIVista, Inc., a wholly owned subsidiary of NTT DATA, is based in Silicon Valley. We develop AI products that operationalize AI across enterprises operating in complex regulatory environments. We partner with other NTT companies (NTT DATA Inc, NTT DATA Japan, NTT Docomo) to ensure successful deployment to NTT clients. Our clients benefit from AIVista’s deep product AI expertise combined with the industry domain and systems integration experience of NTT DATA.
ROLE DESCRIPTION
The Technical Program Manager (TPM) is a senior, high-impact role at the intersection of technical architecture and large-scale program execution. This individual will own the end-to-end delivery of AIVista’s most complex, cross-functional AI platform initiatives — across enterprise clients in regulated industries including insurance, financial services, and healthcare.
This role requires deep technical fluency combined with the organizational influence and strategic clarity to drive alignment across engineering, science, product, data, compliance, and client-facing teams.
The Principal TPM does not simply track milestones — they define program structure, resolve architectural ambiguities, eliminate systemic blockers, and set the delivery standard for the organization.
CORE RESPONSIBILITIES
· Own the technical program strategy, roadmap, and delivery execution for flagship AIVista platform initiatives maintaining clarity on scope, dependencies, milestones, and risks across all workstreams.
· Define and drive program structure from inception through production: decompose ambiguous, multi-year initiatives into executable phases with clear decision gates, owners, and success metrics.
· Serve as the primary technical authority within the program office — deeply engaging with AI/ML architecture, data platform design, API contracts, and infrastructure decisions to identify cross-cutting risks before they become delivery blockers.
· Lead cross-organizational alignment across engineering, product management, data science, compliance, security, and enterprise client teams; drive decisions in the absence of full consensus using sound technical and business judgment.
· Establish and maintain program-level governance artifacts: architecture decision records (ADRs), risk and dependency registers, and executive program status communications calibrated for both technical and C-suite audiences.
· Represent AIVista in client-facing program reviews and architecture discussions with enterprise clients; hold credibility with senior technical and business stakeholders.
· Drive rigorous operational and compliance readiness for all platform releases, ensuring alignment with regulatory frameworks including the EU AI Act, NAIC Model AI Bulletin, NIST AI RMF, SOC 2, and ISO/IEC 42001.
· Identify systemic process gaps and build scalable delivery infrastructure — tooling, templates, escalation paths, and cross-team norms — that raises the execution standard across the entire AIVista engineering organization.
· Mentor senior engineers and technical leads on program management craft; model technical depth, written clarity, and structured thinking as an organizational standard.
· Partner with executive leadership to define quarterly and annual planning cycles, shape investment decisions, and synthesize program health into actionable strategic insight.
QUALIFICATIONS
· 10+ years of technical program management experience shipping large-scale, distributed systems or AI/ML platform products in a product-focused technology company.
· Bachelor’s degree in Computer Science, Engineering, or a related technical field or equivalent experience.
· Demonstrated ability to own and deliver multi-year, multi-team programs with significant technical complexity and ambiguity — from problem definition through production.
· Deep technical fluency in AI/ML systems, cloud-native architectures
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