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.
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.
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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.
Work Arrangement
Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.
The pay range for this position at commencement of employment is expected to be between USD $ 184,000 and USD $ 368,000 per year.
However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.
About Nutanix
Technology5,001-10,000Founded 2009
Nutanix develops cloud software and a unified platform for running applications, data, and AI across data centers, edge locations, and public and private clouds. Its hybrid multicloud technology helps organizations simplify infrastructure management and modernize IT operations.
