Gen AI 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. We are defining the next generation of Asset-Based Consulting. Para presentar una candidatura, simplemente lea la siguiente descripción del puesto y asegúrese de adjuntar los documentos pertinentes. Products, it's the unit focused on create applications that our colleagues integrate into our clients' operations. Our daily work equips our clients with new capabilities, enriches their value proposition, and allows us to position ourselves as strategic partners. We are a multidisciplinary team of experts in Enterprise SaaS applications . 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. To achieve this, we are looking for people who share our constant curiosity, passion for technology, who want to break paradigms and have a strategic vision. 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. What would your mission be? In your day-to-day work, you will be responsible for: Intake & prioritise: Run a structured intake with asset teams, size opportunities, define problem statements, stack-rank by impact/effort/risk. Define the product: Author crisp PRDs, user stories, success metrics, and acceptance criteria for AI integrations and cross-asset components. Roadmap & planning: Build and maintain a cross-asset roadmap; sequence dependencies; align capacity with offshore delivery teams. Architecture alignment: Translate reference architectures into productized deliverables; partner with the Chief Technical Architect on key trade-offs (latency, cost, privacy, multi-tenancy). Delivery leadership: Keep backlogs healthy, run rituals, unblock decisions quickly, and ensure increments ship on time with quality. Reusable platforms: Evolve shared SDKs, adapters, templates (RAG pipelines, agent workflows, eval/guardrail packs, observability hooks) and drive adoption across assets. Measurement & evals: 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. Stakeholder comms: Provide clear exec readouts, risk/decision logs, and change notes; set expectations with asset leadership. 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; partner with assets on release plans, feature flags, and rollbacks. Quality & reliability: Ensure non-functional requirements (SLOs, latency budgets, resiliency) and drive contract/load testing strategies. What do we expect from you? Experience: 7–10+ years in Product/TPM roles building platform or enterprise SaaS; 2+ years delivering LLM/GenAI features to production. Technical depth: Comfortable discussing APIs, data flows, and infra (Azure preferred, plus Kubernetes, CI/CD, IaC); can read basic Python/TypeScript and reason about system diagrams. GenAI literacy: 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. Multi-tenant mindset: Experience with tenancy models, rate limiting, per-tenant observability, and cost governance. Outcome orientation: Defines clear success metrics, runs experiments, and makes data-informed calls under uncertainty. Program leadership: Proven delivery with offshore teams across time zones; strong backlog hygiene and dependency/risk management. Security & privacy: Familiar with OAuth/OIDC, secrets management, KMS/Key Vault, and GDPR-compliant data handling. Communication: Excellent writing and executive presence; able to drive alignment among architects, engineers, and asset leadership. What can we offer you? 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. Intensive work schedule (8:00 a.m. to 3:00 p.m.) 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. xcskxlj 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