Director, Data & AI

NetApp; United States; Hybrid; USD 196,000 - 293,000; Full time

Benefits offered by this job

Health Insurance

Life Insurance

Retirement or Pension Plans

Paid Time Off

various Leave options

employee stock purchase plan

restricted stocks (RSU’s)

Job summary

NetApp is seeking a seasoned Director, Data & AI Readiness to lead a major enterprise data transformation across critical functions. You will define strategy, roadmap, and self-service enablement for AI-powered analytics and data platforms at scale.

You will mentor a global team, partner with executive stakeholders, and deliver measurable business outcomes through governance, data models, and enterprise data products.

Qualifications

• 10+ years of progressive experience in data, analytics, business intelligence and AI/ML.
• 2+ years' experience in enabling enterprises to leverage data to accelerate AI adoption.
• Proven track record delivering enterprise analytics and Agentic AI with measurable business impact.
• Technical depth in modern data architecture — cloud data platforms (Snowflake, Databricks, BigQuery, or equivalent), semantic modeling, knowledge graph, MCP, ETL/ELT pipelines, and BI tooling (Tableau, Power BI, MicroStrategy, or equivalent)
• Applied AI and machine learning experience — hands‑on background with AI agent development, orchestration, and lifecycle management; familiarity with LLM‑based solutions and predictive modeling
• Executive stakeholder management — demonstrated ability to influence VP and C‑suite audiences, drive consensus, and align diverse stakeholders around a shared data and AI vision
• Program and budget management — skilled in managing complex, multi-workstream programs with OKRs tied to business outcomes; experienced in vendor negotiation, contract management, and ROI tracking for analytics and AI investments
• Bachelor's / Master’s degree in computer science, Data Science, Statistics, Information Systems, Business Analytics, or a related field (or equivalent practical experience)

Responsibilities

• Develop and execute a BI/AI strategy and roadmap aligned with NetApp goals across HR, Finance, Tax & Treasury, Customer Support, and PS.
• Build and run AI/ML Center of Excellence with standards and scalable assets across functions.
• Champion adoption with change management and executive alignment for AI-native ops.
• Lead with influence in a global matrix, partnering with function leaders across org.
• Stand up data/tools to support agentic workflows and maintain lifecycle mgmt.
• Identify and prioritize AI outcomes across domains; build business cases and sequencing.
• Oversee deployment and governance of BI/AI agents; ensure auditability and responsible AI.
• Develop and maintain enterprise data model, taxonomy, ontologies for consistency.
• Design semantic models to make data AI-ready for analytics, ML, and LLM copilots.
• Operationalize models and taxonomies via Enterprise Data Catalog.
• Set standards for data modeling, taxonomy and semantics for consistency across domains.
• Contribute to data product framework with domain boundaries and semantic contracts.
• Partner with analytics & AI engineering teams to ensure architecture and metadata for explainable, governed AI.
• Provide insights to shape governance strategy and roadmaps.
• Revamp data governance tooling with IT and Data Engineering.
• Develop strategy and tools to enable ontology and semantic.
• Implement responsible AI framework: fairness, privacy, transparency, oversight, audits; ethics including bias mitigation.
• Ensure compliance with GDPR, CCPA, PIPEDA across data products and AI.

Skills

Data strategy

AI governance

Stakeholder mgmt

Cloud data platforms

ETL/ELT pipelines

BI tooling

LLM orchestration

Knowledge graph

Semantics modeling

Bias mitigation

Education

Bachelor's / Master’s degree

Tools

Snowflake

Databricks

BigQuery

Tableau

Power BI

MicroStrategy

Job description

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.

Job Summary

As Director, Data & AI readiness you will own the strategy to enable data & intelligence layer powering NetApp’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.

Job Responsibilities

• Develop and execute a comprehensive business intelligence and AI/ML strategy, roadmap aligned with NetApp’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 NetApp 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 NetApp’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 interoperability and AI consumption.
• Partner with analytics & AI engineering teams to ensure information architecture, metadata, and semantic context are sufficient to support explainable, governed, and trustworthy AI outcomes.
• Serve as a thought partner, provide insights from modeling, catalog adoption, and AI enablement to shape governance strategy and roadmaps.
• Revamp data governance tooling — partnering with IT and Data Engineering to create and maintain data governance tools and capabilities required for data governance organization
• Develop the strategy and tools to enable ontology and semantic
• Implement and govern a responsible framework driving enablement of fairness, privacy, transparency, human oversight, risk reporting, and periodic audits; own ethical AI practices including bias mitigation, model transparency, and remediation planning
• Ensure compliance with global privacy and data regulations (GDPR, CCPA, PIPEDA, and equivalents) across all data products and AI solutions

Job Requirements

• 10+ years of progressive experience in data, analytics, business intelligence and AI/ML
• 2+ years' experience in enabling enterprises to leverage data to accelerate AI adoption
• Proven track record delivering enterprise analytics and Agentic AI with measurable business impact within Finance, HR, Customer Operations, or Professional Services environments
• Technical depth in modern data architecture — cloud data platforms (Snowflake, Databricks, BigQuery, or equivalent), semantic modeling, knowledge graph, MCP, ETL/ELT pipelines, and BI tooling (Tableau, Power BI, MicroStrategy, or equivalent)
• Applied AI and machine learning experience — hands‑on background with AI agent development, orchestration, and lifecycle management; familiarity with LLM‑based solutions and predictive modeling
• Executive stakeholder management — demonstrated ability to influence VP and C‑suite audiences, drive consensus, and align diverse stakeholders around a shared data and AI vision
• Program and budget management — skilled in managing complex, multi-workstream programs with OKRs tied to business outcomes; experienced in vendor negotiation, contract management, and ROI tracking for analytics and AI investments
• Bachelor's / Master’s degree in computer science, Data Science, Statistics, Information Systems, Business Analytics, or a related field (or equivalent practical experience)

Leadership Competencies

• Strategic vision — you connect today’s data investments to tomorrow’s business outcomes; you think in systems and programs, not isolated projects
• Executive influence and storytelling — you build credibility with senior leaders by crafting compelling narratives from complex data; your clarity moves people to act
• Change leadership — you have led organizational transformation before; you know how to bring skeptics along, build coalitions, and make AI adoption stick
• People development — you grow careers intentionally; your team members leave every conversation more capable and more motivated than when they arrived
• Metrics and impact orientation — you define and track KPIs and OKRs that link analytics initiatives to measurable business impact; you hold yourself and your team to that standard

Education

IC - Typically requires a minimum of 15 years of related experience.Mgr & Exec - Typically requires a minimum of 12 years of related experience.

Compensation

The target salary range for this position is 196,350 - 292,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.

• Health Insurance
• Life Insurance
• Retirement or Pension Plans
• Paid Time Off
• various Leave options
• employee stock purchase plan
• restricted stocks (RSU’s)

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You’ll Thrive at NetApp

At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.