Principal Data & AI Engineer, Reporting and Insights
$249,000–$348,500 year
On-siteSan Jose, California, United States
Job Summary
Own the AI-powered reporting and insights strategy from data ingestion through executive delivery, creating a unified approach to dashboards, metrics, narratives, and self-service insight products. Lead the Data Integrations and Enablement Platform, including the reporting data architecture, pipelines, and infrastructure needed to support trusted, scalable reporting. Integrate business intelligence, metrics, and AI-assisted reporting into a connected capability that improves quality, speed, and usability for leaders and teams. Design and implement LLM-powered reporting workflows, including prompt engineering, retrieval-augmented generation (RAG), and agentic pipelines, to automate narrative generation, surface anomalies, and deliver self-service insight products. Establish governance standards for executive-facing AI outputs, including hallucination mitigation, validation, accuracy monitoring, and responsible AI practices. Partner with senior leadership on the insights roadmap, investment priorities, and capability-building decisions that shape the future-state reporting model. Provide technical leadership and coaching across the reporting ecosystem, helping teams adopt clear standards, stronger practices, and modern ways of working.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Science, Business Intelligence, or a related technical field
- 10 years of experience in data, analytics, business intelligence, reporting, or related technical roles with a Masters
- 12 years with a Bachelors
- equivalent professional experience
- Strong proficiency in Python and SQL for data engineering, pipeline development, analytics, and AI/ML integration
- 3+ years of hands-on experience building or deploying AI/ML or LLM-based applications, including prompt engineering, RAG architectures, or agentic workflows using frameworks such as LangChain, LlamaIndex, or equivalent tools
- 2+ years of experience with at least one enterprise AI platform, such as Azure OpenAI, AWS Bedrock, Google Vertex AI, or an equivalent platform
Desired Qualifications
- 5+ years of experience leading cross-functional data or analytics programs at a Principal level or equivalent scope
- Experience designing and operating agentic AI systems that generate reports, answer data questions, or monitor metrics with minimal human intervention
- Familiarity with natural language interfaces for analytics, including NL-to-SQL and conversational BI patterns for enterprise environments
- Understanding AI output governance, including evaluation frameworks, confidence scoring, escalation patterns, and risk management for executive reporting use cases
- Experience with modern data platforms such as EG specific implementations of Spark and Flink on top of Iceberg
- Snowflake, Databricks, or Delta Lake
- Familiarity with real-time or event-driven data patterns for low-latency insight delivery
- Strong executive communication skills, with the ability to translate complex technical concepts into clear business outcomes
- Working knowledge of responsible AI principles, including explainability, auditability, and trust in AI-generated summaries and recommendations
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