Nippon Sanso Holdings Corporation (NSHD) is one of the leading companies in the industrial and medical gases business. We have a diversified involvement in broad industries such as healthcare, food, manufacturing, metallurgy, chemical products, electronics and energy.

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The Data & Ai Platform Owner will be based in Madrid, in European Headquarters, and will be part of NSHD IT Global team, reporting to Global Data & AI Director. We are looking for a seasoned professional, to own the general Data & AI platform as a secure, scalable, reliable, governed and cost-effective product/service spanning data, analytics, ML, Generative AI and agents. The Data & AI Platform owner will lead strategy, delivery, operations, adoption and lifecycle.

Key Responsibilities

- Strategy & roadmap - Own target architecture, roadmap and backlog; balance demand, foundations, innovation, security and governance against value, maturity, interoperability and strategic fit.
- Federated delivery - With the Director, define global/regional/partner ownership, service boundaries, decision rights, onboarding and deployment governance. Consolidate demand; build once for regional configuration and reuse; govern exceptions and escalations.
- Architecture & engineering - Align modular architecture with Cloud, Security, Data/AI and enterprise standards. Govern shared code, infrastructure, configurations, policies and reusable templates; standardize IaC, CI/CD, provisioning and guardrails for governed self-service.
- Data & AI lifecycle - Enable ingestion-to-consumption, orchestration and integration; standardize experimentation,



evaluation, deployment, monitoring, human oversight and retirement.
- Security & governance - Work closely with Cybersecurity to ensure the platform implements all mandated security measures; implement Azure governance policies defined by the Cloud Infrastructure team.
- Service & resilience - Own demand-to-operation, support and improvement. Define catalogue, SLAs/SLOs, KPIs and escalation; manage incidents, changes, releases, upgrades, dependencies, technical debt and retirement. Ensure capacity, performance, end-to-end observability, backups and tested recovery procedures.
- Finance & vendors - Support budgets, forecasts, cloud/licensing optimization. Manage partner performance, deliverables, knowledge transfer, roadmaps, dependencies and support/integration commitments
- Adoption & outcomes - Engage regional IT teams and business driving onboarding, documentation, accelerators and practitioner communities. Improve user/developer experience through feedback

Background

- Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Engineering or related field.
- At least 7 years in enterprise data/analytics development or project leadership, including platform strategy, delivery, operations, adoption and lifecycle ownership.
- At least 5 years with Databricks: enterprise workspaces, Unity Catalog,



automation and Asset Bundles; cloud Data & AI architecture, preferably Azure.
- Full professional English proficiency required.

Required Skills

- International/multicultural experience would be essential; distributed team/partner leadership, platform deployments, ownership, decision rights, onboarding, reuse and measurable roadmap delivery.
- DevSecOps, CI/CD, IaC, provisioning and releases; cybersecurity, privacy, regulatory/data governance, audits and remediation.
- Service management, SLAs/SLOs, incidents, observability, capacity, resilience/recovery, technical debt and technology lifecycle.
- Product/service mindset, strategic roadmaps, problem-solving and attention to detail; balance value, risk, cost, speed and sustainability with operational discipline and improvement.
- Global-regional collaboration, influence without authority, constructive challenge, conflict resolution and executive/technical communication.

Preferred Skills

- Preferred experience in industrial gases, manufacturing, supply-chain or asset-intensive sectors; operational/safety-critical AI; regional platforms across Europe, Japan, Australia, Asia-Pacific or comparable environments.
- MLOps/LLMOps, GenAI/agents, evaluation, observability and governance; Fabric, Microsoft AI, Copilot Studio, Azure AI Foundry and Databricks AI would be valuable.
- Relevant cloud, architecture, security, IT service management, or data-management certifications would be valuable.

Others

Availability to travel abroad 15% of the time (worldwide).

At Nippon Sanso, we're a reliable partner for key industries, combining global expertise with a local touch to make a real difference. Guided by our comm

📌 Data & AI Platform Owner (Madrid)
🏢 Nippon Sanso Europe
📍 Madrid