AI Analytics Engineer

Role

Havenly Brands seeks an AI Analytics Engineer to lead the build-out of data infrastructure and intelligent systems across its multi-brand portfolio. This strategic role sits at the intersection of analytics engineering, data engineering, and AI development, translating business strategy into measurable data outcomes and enabling AI-native access to business information.

Key Responsibilities

Consult and Partner with the Business

• Collaborate directly with business leaders to understand strategy, operations, and desired outcomes.
• Design measurement frameworks and analytical approaches that target business goals.
• Lead measurement implementation and instrumentation of new touchpoints.
• Translate business problems into data solutions and convert insights into actionable recommendations.

Build and Maintain Data Infrastructure

• Extract data from disparate sources into a centralized cloud data warehouse.
• Design and implement reliable, correct, and fresh data pipelines and transformations.
• Build and maintain semantic layers and data models that accurately represent business operations.
• Implement data quality monitoring, testing, and observability across data assets.

Enable AI-First Data Access

• Architect data systems optimized for AI agent consumption rather than only traditional BI.
• Build and configure semantic layers, MCPs (Model Context Protocol servers), and interfaces for reliable AI queries.
• Create governed, documented metrics and dimensions as a single source of truth for humans and AI.
• Support LLM context windows and RAG-style systems to power conversational access to data.

Drive Intelligence & Automation

• Implement consumer touchpoint data collection strategies to power internal intelligence and marketing activation.
• Identify and build automation opportunities using AI and data processing.
• Develop internal tools and AI-enabled applications to serve the organization.
• Uplevel organizational data capabilities and AI fluency through partnership and enablement.

Requirements

• 3–5+ years of experience in analytics engineering, data engineering, or a related field working with business stakeholders.
• Expert SQL skills for complex transformations, data models, and analytical queries.
• Strong Python proficiency for data processing, automation, and tooling.
• Modern data stack experience (dbt preferred), cloud warehouses (Snowflake, BigQuery, or similar), and ETL/orchestration tools (Airbyte, Fivetran, Airflow, or similar).
• Experience building semantic layers and systems optimized for AI/agent consumption (MCPs, LLM context windows, RAG-optimized systems).
• Business acumen and strong communication skills to translate between technical and business contexts.

Desired Mindset & Approach

• Business-obsessed, outcome-focused, strategic, proactive, curious, quality-oriented, and ownership-driven.

Bonus / Nice-to-Have

• Experience building internal web apps, automations, or AI-powered features.
• Direct experience architecting data for AI consumption or with AI agent frameworks.
• Background in machine learning model development or deployment.
• Experience with consumer/marketing data, CDPs, or marketing activation.
• Experience with Vibe Coding / Agentic Engineering.

Location & Employment

• Full-time exempt position based in Denver, CO (preferred) or New York City.
• Reports to the SVP of Product and Technology.

Benefits (selected)

• Competitive compensation
• Generous PTO and volunteer days off
• Health benefits: medical, dental, vision, and disability
• 401(k) with employer match
• Paid parental leave
• Design services, furniture discounts, and anniversary merchandise credits