Sr. Manager, Analytics Engineering
Nutanix · Hoofddorp
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- Set the vision and direction for enterprise analytics engineering and inspire teams around trusted, scalable, and intelligent analytics.
- Build, lead, and develop a high-performing team of analytics engineers and data professionals.
- Create a culture of ownership, collaboration, curiosity, technical excellence, and continuous learning.
- Serve as a trusted advisor to business and technology leaders by deeply understanding business processes, priorities, KPIs, and decision needs.
- Translate complex requirements into semantic models, certified datasets, reusable metrics, and governed analytical data products.
- Lead by example through hands-on SQL development, dimensional modeling, data validation, reconciliation, technical design, and solution reviews.
- Design and implement trusted semantic layers that standardize business definitions, KPI logic, dimensions, measures, hierarchies, and reusable business rules.
- Build scalable analytical models and transformations using SQL, dbt, Python, Spark, or similar technologies.
- Establish strong engineering practices for architecture reviews, testing, documentation, certification, deployment, and lifecycle management.
- Implement data quality, metadata, lineage, ownership, reconciliation, and governance controls.
- Partner across Data Engineering, Governance, AI, BI, and distributed analytics teams in a hub-and-spoke operating model.
- Implement practical AI and GenAI capabilities, including natural-language querying, semantic search, automated insights, SQL assistance, and conversational analytics.
- Ensure AI-enabled analytics is grounded in trusted datasets, governed semantic models, approved KPIs, and secure access controls.
- Coach and mentor team members while raising the technical and process maturity of the broader analytics community.
Wat ze zoeken
- Experience in SaaS, enterprise software, technology, or other data-intensive environments.
- Experience supporting domains such as GTM, Finance, Customer Success, Marketing, Product, Operations, or Supply Chain.
- Experience with Salesforce, NetSuite, Workday, SAP, Coupa, Clari, Zuora, or similar platforms.
- Experience operating within a hub-and-spoke analytics model.