Uses AI-native workflows (mentions Cursor and Claude Code) and explicitly calls out Vibe Coding/Agentic Engineering as a bonus; builds MCPs and LLM-context systems for agent access.
About the Role
Lead the build-out of data infrastructure and intelligent systems to enable AI-first analytics across a multi-brand consumer portfolio. Partner with business leaders to design and implement end-to-end data solutions, semantic layers, and AI-facing interfaces that provide a single source of truth for humans and AI agents.
Job Description
Role
Havenly Brands is hiring an AI Analytics Engineer to lead the build-out of data infrastructure and intelligent systems across its portfolio. This strategic role sits at the intersection of analytics engineering, data engineering, and AI development and focuses on evolving the data practice for AI consumption and business outcomes.
Key Responsibilities
- Consult and partner with business leaders to translate strategy and operations into measurable data outcomes.
- Design analytical approaches, measurement frameworks, and instrumentation strategies to collect and act on the right data.
- Extract data from disparate sources into a centralized cloud data warehouse and build reliable, correct, and fresh data pipelines.
- Build and maintain transformations and semantic layers that model business operations across brands.
- Implement data quality monitoring, testing, and observability for data assets.
- Architect data systems optimized for AI agent consumption, including building/configuring semantic layers and MCPs (Model Context Protocol servers).
- Create governed, well-documented metrics and dimensions as a single source of truth for humans and AI systems.
- Identify and implement automation and AI-driven solutions across consumer touchpoints and internal operations.
- Build internal tools and applications that leverage AI capabilities and help up-level organizational data fluency.
Requirements
- 3-5+ years of experience in analytics engineering, data engineering, or a related role working with business stakeholders.
- Expert SQL skills for complex transformations, data models, and analytical queries.
- Strong Python proficiency for data processing, automation, and tooling.
- Experience with the modern data stack, especially dbt (strongly preferred), cloud warehouses (Snowflake, BigQuery, or similar), and ETL/orchestration tools (Airbyte, Fivetran, Airflow, or similar).
- Practical experience or interest in AI-native workflows and tools (examples cited include Claude Code and Cursor).
- Strong business acumen with a track record of partnering with stakeholders to deliver measurable outcomes.
- Mindset attributes: business-obsessed, strategic thinker, proactive and curious, clear communicator, quality-obsessed, and ownership mentality.
Bonus Qualifications
- Experience building internal web apps, automations, or AI-powered features.
- Direct experience architecting data for AI consumption (semantic layers, MCPs, RAG-optimized systems, or AI agent frameworks).
- Background in machine learning model development or deployment.
- Experience with consumer/marketing data, customer data platforms, or marketing activation.
- Experience with Vibe Coding / Agentic Engineering or similar agentic AI development.
Location & Benefits
- Full-time exempt position based in Denver, CO (preferred) or New York City.
- Benefits include competitive compensation, generous PTO, volunteer days off, health benefits (medical, dental, vision, and disability), 401(k) with match, paid parental leave, design services and furniture discounts, and anniversary merchandise credits.