> Markdown version of [/jobs/ext/608781-technical-program-manager](https://www.wearedevelopers.com/jobs/ext/608781-technical-program-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager - **Company:** NTT DATA, Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $175,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Microsoft Azure, Cloud Engineering, Distributed Data Store, Distributed Systems, Azure Machine Learning, Service Design, Large Language Models, AI Platforms, Information Technology, Machine Learning Operations, Api Design, Dynatrace, Api Management - **Published:** June 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=09c5ff91a962199f ## About the Role Do you have experience in Technology management?, * 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 (AWS, Azure, or GCP), distributed data platforms, and API-driven service design; sufficient depth to challenge technical assumptions, evaluate build vs. buy decisions, and identify architectural risks independently. * Proven track record of driving alignment and executing delivery across engineering, product, legal/compliance, and external client organizations without direct authority. * Experience developing program governance structures, executive-level communication artifacts, and quantitative risk management frameworks at scale. * Strong written communication skills: capable of producing architecture narrative documents, program strategy memos, and decision briefs that are clear, concise, and credible to both technical and non-technical audiences. Preferred Qualifications * MBA or Master's degree in Computer Science, Systems Engineering, or a related field. * Experience delivering AI platforms or agentic infrastructure products (e.g., LLM orchestration, RAG pipelines, model governance, or intelligent document processing) in regulated enterprise environments (financial services, insurance, or healthcare). * Hands-on familiarity with regulatory frameworks governing enterprise AI: EU AI Act, NAIC Model AI Bulletin, NIST AI RMF, SOC 2, or ISO/IEC 42001. * Track record of operating as a force-multiplier: systematically improving delivery infrastructure, codifying best practices, and elevating the program execution capability of engineering organizations. * Experience with Spec-Driven Development (SDD), observability-driven delivery (OpenTelemetry, distributed tracing), or model governance frameworks in production AI systems. * Prior client-facing program leadership at enterprise scale (Fortune 500 or equivalent), withexperience owning executive relationships and presenting program status at the CTO or CIO level. ## 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 ## Related Videos - [AI Driven Development](https://www.wearedevelopers.com/videos/100340-ai-driven-development) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [The Power of Purpose: Unlocking Potential and Innovation](https://www.wearedevelopers.com/videos/1110-the-power-of-purpose-unlocking-potential-and-innovation) - [Big Business, Big Barriers? Stress-Testing AI Initiatives.](https://www.wearedevelopers.com/videos/1022-big-business-big-barriers-stress-testing-ai-initiatives) - [From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking](https://www.wearedevelopers.com/videos/100070-from-ai-assistance-to-agentic-systems-scaling-sovereign-ai-in-banking) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)