Sr. Manager, Analytics Engineering

About the role

The Opportunity Are you a visionary leader with a passion for transforming data into actionable insights, and a track record of building and inspiring high-performing analytics teams? If so, joining our team as a Senior Manager, Analytics Engineering at Nutanix will allow you to make a meaningful impact by influencing data-driven decision-making across the organization and driving the development of innovative analytics solutions in a collaborative and dynamic environment.

What You Will Bring

• 10+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, Data Analytics, or Enterprise Analytics.
• 5+ years leading analytics engineering teams, enterprise analytics initiatives, or cross-functional analytics delivery.
• Demonstrated experience building, coaching, and inspiring high-performing technical teams.
• Expert-level SQL with strong hands-on experience in dimensional modeling, semantic layers, certified datasets, analytical transformations, and data products.
• Proven ability to understand complex business processes and translate them into trusted KPIs, semantic models, and governed analytical products.
• Strong business acumen and experience defining enterprise KPIs with business stakeholders.
• Experience with platforms such as Snowflake, Databricks, BigQuery, Redshift, or Postgres.
• Experience with dbt, Spark, Python, Airflow, or similar analytics engineering technologies.
• Strong understanding of data quality, reconciliation, metadata, lineage, governance, and certification.
• Hands-on experience implementing AI or GenAI-enabled analytics solutions.
• Excellent communication and influencing skills, with the ability to build trust and align business and technology teams.

Preferred Qualifications

• 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.