Head of Data Science and Analytics

3 Hours ago • 10 Years + • Data Analysis

Job Summary

Job Description

DevRev is seeking a Head of Data Science and Analytics to build and scale its data, analytics, and reporting functions from the ground up. This role involves translating the company's operating model into structured data schemas to drive insights, developing robust data pipelines using tools like BigQuery and SQL, and designing live dashboards for real-time business visibility. The position also includes architecting scalable data systems for AI applications, leading the creation of enterprise ontologies and semantic data models, and establishing data governance frameworks. A unique aspect involves forward deploying to customer sites to support AI Agent use cases, helping them develop knowledge graphs and semantic data models for natural language querying. The ideal candidate will have 10+ years of experience in data architecture, 3+ years of management experience, and proficiency in ontologies, knowledge graphs, and semantic technologies, along with strong programming skills in Python, Java, or Scala.
Must have:
  • 10+ years data architecture experience
  • 3+ years management experience
  • Ontologies, knowledge graphs, semantic tech expertise
  • Graph database proficiency (Neo4j, Neptune, ArangoDB)
  • RDF, OWL, SKOS knowledge
  • Python, Java, or Scala programming skills
  • Experience with AI/ML data architectures
Good to have:
  • Bachelor's or Master's in CS, Data Eng, or related field
  • Experience in distributed systems

Job Details

DevRev

DevRev’s AgentOS, purpose-built for SaaS companies, comprises three modern CRM apps for support, product, and growth teams. It connects end users, sellers, support, product people, and developers, reducing 9 business apps and converging 6 teams onto a common platform.

Unlike horizontal CRMs, DevRev takes a blank canvas approach to collaboration, AI, and analytics, enabling SaaS companies to increase product velocity and reduce customer churn. DevRev is used by thousands of companies in search of low latency analytics and customizable LLMs to thrive in this era of GenAI.

Headquartered in Palo Alto, California, DevRev has offices in seven global locations. We have raised $100 million in funding from investors like Khosla Ventures and Mayfield at a $1.1 billion valuation. We are also honored to be named on the Forbes 2024 list of America’s Best Startup Employers. Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS.

Head of Data Science and Analytics

Location: Palo Alto, California 

What You’ll Do

  • Build and scale DevRev’s end-to-end data, analytics, and reporting function from the ground up
  • Translate the company’s operating model into structured data schemas and ontologies to drive insights and decision-making
  • Develop robust data pipelines integrating internal and external sources, leveraging DevRev’s proprietary applications and modern data tools (e.g., BigQuery, SQL, dbt)
  • Design and launch live dashboards and proactive notification workflows to empower leadership with real-time business visibility
  • Modularize reporting infrastructure to support evolving business needs across departments and leadership levels
  • Architect and implement scalable data systems that support real-time AI applications across customer, product, and operational domains
  • Lead the creation of enterprise ontologies and semantic data models to unify and standardize disparate data sources
  • Establish and maintain comprehensive data governance frameworks to ensure data consistency, quality, security, and compliance
  • Define and promote data standards, policies, and best practices for semantic modeling and knowledge representation

Forward Deployed Data Analytics

  • Unique opportunity to forward deploy across DevRev’s enterprise customer base to support valuable AI Agent use cases
  • Help develop enterprise ontologies (‘Knowledge Graphs’) and semantic data models that unify disparate data sources
  • Leverage internal reporting dashboards to create similar operating success at our customers
  • Design semantic layers that enable natural language querying and AI-driven insights across enterprise data

What we are looking for: 

  • 10+ years of experience in data architecture roles with demonstrated expertise in large-scale system design
  • 3+ years direct management and leadership experience
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field
  • 5+ years of hands-on experience with ontologies, knowledge graphs, and semantic technologies
  • Expert-level proficiency with graph databases (Neo4j, Amazon Neptune, ArangoDB) and semantic standards (RDF, OWL, SKOS)
  • Strong programming skills in Python, Java, or Scala with experience in distributed systems
  • Proven track record of designing and implementing enterprise data architectures supporting AI/ML workloads

Culture

The foundation of DevRev is its culture -- our commitment to those who are hungry, humble, honest, and who act with heart. Our vision is to help build the earth’s most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers. 

That is DevRev! 

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