Director, Data & AI

Job Summary

As Director, Data & AI readiness you will own the strategy to enable data & intelligence layer powering Net App's most critical corporate functions — Sales, HR, Finance, Tax & Treasury, Customer Support, and Professional Services This is an opportunity to lead a major data transformation program — enabling tools, technology, data and context for AI across enterprise applications and data platforms for AI;

— while simultaneously upskilling the team for the AI-native era and embedding modern data management practices at scale.

You will own the forward-looking data science strategy, define and execute the roadmap, and enable self-service for advanced business users. You will lead through influence in a global organization, partnering with functions and will personally coach the team to deliver deep analytical insight projects that drive measurable business value outcomes.

To be successful, you must bring extensive enterprise data & AI leadership experience, product lifecycle fluency (including SDLC), a track record of implementing cutting edge large-scale technology, rich experience in AI/ML and the credibility to be a trusted adviser to senior executives in a high-growth environment.

• Develop and execute a comprehensive business intelligence and AI/ML strategy, roadmap aligned with Net App's business model and organizational goals — setting objectives and key results linked to revenue, retention, efficiency, and customer experience across HR, Finance, Tax & Treasury, Customer Support, and Professional Services
• Build and run AI/ML Center of excellence establishing standards, reusable assets, and a delivery model that scales data & AI/ML products consistently across corporate functions
• Champion adoption — own change management and executive stakeholder alignment, driving the mindset and capability shifts needed for Net App to operate as an AI-native organization
• Lead through influence in a global, matrixed structure — building trusted partnerships with function leaders in HR, Finance, Tax & Treasury, Customer Support, and Professional Services who do not directly report to you
• Stand up Data & tools to support agentic workflows — e.g., workforce insights, financial forecast hygiene, customer support deflection, account next-best-action — and maintain full lifecycle management including versioning, monitoring, and rollback
• Partner with business to Identify & prioritize AI outcomes dependent on Data across HR analytics, financial planning, tax data automation, customer support automation, and PS margin optimization; build the business case and sequencing for each
• Oversee the deployment, governance, and lifecycle management of data, BI and AI/ML agents and solutions, ensuring they are auditable, explainable, and aligned to Net App's responsible AI standards
• Lead the development and maintenance of the enterprise data domain model, taxonomy, and ontologies to ensure shared understanding, semantic consistency, and discoverability of data and knowledge assets.
• Design and evolve information and semantic models that make enterprise data AI-ready, supporting use cases ranging from traditional analytics and BI to applied machine learning and LLM-based experiences (e.g., search, retrieval-augmented generation, and copilots).
• Operationalize data models, taxonomies, and semantic structures through the Enterprise Data Catalog
• Drive definition and enforce standards for data modeling, taxonomy, nomenclature, and semantic structures to ensure consistency and interoperability across business domains and downstream consumption patterns.
• Contribute to the enterprise data product framework by defining domain boundaries, shared dimensions, and semantic contracts that enable cross-domain…