Norm Ai
Norm Ai
Norm Ai बड़े संस्थानों की कानूनी और अनुपालन टीमों के लिए नियामकीय AI विकसित करता है। इसका प्लेटफ़ॉर्म कानूनों, विनियमों, नीतियों और ग्राहक-विशिष्ट मार्गदर्शन को पर्यवेक्षित AI एजेंटों में बदलता है, जो अनुबंध समीक्षा, DDQ और RFP स्वचालन, विनियमित सामग्री की समीक्षा, वर्कफ़्लो रूटिंग, प्रकटीकरण और अनुपालन नियंत्रणों में सहायता करते हैं। लीगल इंजीनियर—कानून और AI विशेषज्ञता वाले वकील—जटिल नियामकीय सामग्री को संरचित करने में मदद करते हैं। यह प्लेटफ़ॉर्म संगठनात्मक संदर्भ को ऑडिट-तैयार आउटपुट के साथ जोड़कर वित्तीय संस्थानों को जोखिम प्रबंधित करने और अपनी कानूनी तथा अनुपालन टीमों की क्षमता बढ़ाने में सहायता करता है।

Senior Analytics Engineer — New York City Hybrid

Senior Analytics Engineer at Norm Ai, building production analytics products for an agentic law company. Own dbt models, metrics, access controls, and Lightdash guidance for AI-enabled analytics.

विवरण

  • Own analytics data products supporting internal business functions
  • Build and maintain reusable intermediate models, business-facing gold models, metrics, access controls, tests, documentation, and Lightdash guidance for agents
  • Convert stakeholder ideas into production data products by defining requirements, validating outcomes, and publishing deliverables
  • Align differing concepts across source systems by documenting mappings, unmatched records, assumptions, and quality checks
  • Manage end-to-end production changes across SQL, dbt tests, Lightdash metadata, access rules, content validation, and AI agent instructions
  • Investigate inaccurate or outdated results across data layers and collaborate with data engineering on issues below the serving layer
  • Review modeling updates, pair with teammates, and reinforce shared data standards
  • Partner with the Director of Data, data team, GTM, and Finance

आवश्यकताएँ

  • At least five years of analytics engineering experience or equivalent
  • Experience contributing to a production dbt project with tests, CI, incremental models, and documentation
  • Strong dimensional modeling skills, including conformed entities and facts defined at the appropriate grain
  • Experience delivering a metrics or semantic layer for people and tools
  • Ability to implement secure access controls for sensitive data
  • Regular experience with AI coding agents, including verifying their output and recognizing when they should not be used
  • Advanced SQL proficiency
  • Sufficient Python experience to understand existing pipelines and create transformation tasks
  • Clear technical writing skills for documenting models and metric definitions
  • Hands-on AI experience and the ability to explain tools, workflows, and results
  • Legally authorized to work full time in the United States
  • Based in New York City

लाभ

  • Equity compensation
  • 401(k) plan with employer matching
  • Health, dental, and vision insurance
  • Unlimited paid time off
  • Daily complimentary lunch at the office
  • Employee referral bonus program
  • Relocation assistance for moving to New York City

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