Technical Product Manager

NTT DATA is a multinational consulting firm that offers technological, business, strategy, application development and maintenance solutions, and is a benchmark in consulting. Products,

it’s the unit focused on create applications that our colleagues integrate into our clients' operations. Our applications support the critical business operations of many leading companies in their respective sectors: energy, industry, financial services, telecommunications, public sector, distribution, and more. In addition to the "classic" technological challenges, we are accelerating the adoption of Artificial Intelligence (AI) in our products and in our way of working: from AI-assisted design and development to intelligent observability and the automation of operational tasks. At NTT DATA, we are looking for people to Own the product strategy and delivery of cross-asset

Agentic/GenAI

capabilities for NTT DATA’s enterprise, multi-tenant SaaS assets. You’ll turn ambiguous use-cases from asset teams into clear, measurable product outcomes, shape reusable frameworks/SDKs/templates, and drive execution across our offshore engineering teams in lockstep with the Chief Technical Architect and Director.

&##Roadmap & planning: align capacity with offshore delivery teams. partner with the Chief Technical Architect on key trade-offs (latency, cost, privacy, multi-tenancy). Keep backlogs healthy, run rituals, unblock decisions quickly, and ensure increments ship on time with quality. Define KPIs/OKRs plus LLM-specific evals (quality, safety, cost); instrument telemetry and run A/B or interleaving tests. Compliance & risk: Ensure GDPR-aware designs, model safety controls, auditability, model risk management, and data residency requirements. FinOps for AI: Own token/compute cost projections, set budgets/quotas, and track per-tenant economics and unit costs. Vendor & quota management: Coordinate with cloud/LLM providers (e.g., Azure OpenAI) on SKUs, quotas, regions, and incident response. Enablement & GTM-within-GAU: Produce playbooks, docs, and training; Quality & reliability: Ensure non-functional requirements (SLOs, latency budgets, resiliency) and drive contract/load testing strategies.

&##2+ years delivering LLM/GenAI features to production. Comfortable discussing APIs, data flows, and infra (Azure preferred, plus Kubernetes, CI/CD, IaC); can read basic Python/TypeScript and reason about system diagrams. Practical understanding of LLM providers (Azure OpenAI/Bedrock/Vertex), RAG, vector stores (e.g., PGVector/Pinecone/Azure AI Search), agent orchestration (LangGraph, Semantic Kernel, LangChain), and guardrails/content safety. Experience with tenancy models, rate limiting, per-tenant observability, and cost governance. Defines clear success metrics, runs experiments, and makes data-informed calls under uncertainty. Proven delivery with offshore teams across time zones; strong backlog hygiene and dependency/risk management. Familiar with OAuth/OIDC, secrets management, KMS/Key Vault, and GDPR-compliant data handling. Excellent writing and executive presence; Permanent contract with annual salary and career reviews. &##Access to our NTT DATA University training platform (technical, methodological, language, and soft skills training). &##Hybrid work and flexible hours for better work-life balance. &##on Fridays and during the summer. &##Corporate benefits: additional salary supplements, flexible compensation, health insurance, etc. &##Global Top Employer 2025 — for the 10th consecutive year in Spain. &##Solidarity programs and social activities through our volunteer portal, The Blue Wave, driving positive impact. &##Diverse innovation and an inclusive culture: at NTT DATA, we believe that every person is unique. We are committed to an inclusive culture that values diversity and fosters an environment where everyone can explore and enhance their individuality.

&##Join the Products team at NTT DATA