Director, Data Products – Platform Strategy

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the data product and serve as the principal analyst for Ask Liv, Stream's AI assistant developed on Snowflake Cortex within OrangeOS.

• Manage semantic views, business definitions, Snowflake access controls, and conduct data model audits for Ask Liv.

• Ensure retrieval accuracy through chunk sizing, document parsing, embedding configuration, output reconciliation, and evaluation test sets.

• Oversee and maintain ingestion pipelines for inventory, dealer feeds, CRM, and marketing data.

• Convert business inquiries into OrangeOS data structures and establish acceptance criteria.

• Direct the data and delivery strategy for the integration of Liquid Shopper's dealership back-office systems.

• Examine DMS, IMS, and CRM systems and align their data with functionality and value in Liquid Shopper.

• Lead data integration architecture for the multi-tenant platform, encompassing inventory, incentive, pricing, and marketing content.

• Transform dealer and retail marketing needs into technical specifications and acceptance criteria.

• Advocate for AI-assisted, agentic development alongside the offshore team.

• Facilitate sprint planning, backlog prioritization, and quality reviews as the senior technical representative.

• Collaborate with the VP of Product on project scope, sequencing, and trade-offs as Liquid Shopper evolves into a market-ready product.

⛳️ Requirements

• Significant experience in architecting and integrating data solutions within large, multi-source environments, including CRM, transactional, inventory/product feeds, and marketing/campaign data.

• Ability to think broadly about data architecture and quickly become proficient with Snowflake.

• Practical experience in building applications or workflows utilizing AI coding agents and assistants such as Claude Code, GitHub Copilot, or Cursor.

• Familiarity with GenAI or LLM-powered products, covering concepts like RAG, chunking, retrieval, embeddings, and output quality evaluation.

• Proven track record of managing data integration across multiple sources for a customer-facing product.

• Experience in translating business or marketing requirements into technical specifications and acceptance criteria for distributed or offshore development teams.

• Background in retail marketing or merchandising, including promotions, incentives, offers, personalization, or customer-facing digital retail experiences.

• Strong skills in data manipulation, automation, and basic AI/workflow development.

• Excellent communication skills suitable for both executive and developer audiences.

• Capability to drive strategy, architecture, and quality of delivery independently, without relying on formal management authority.

• Automotive experience is highly desirable but not mandatory.

• Direct experience with Snowflake, multi-tenant SaaS environments, offshore engineering leadership, automotive retail/dealer marketing/martech backgrounds, and familiarity with PHP, Laravel, Vue.js, or similar frameworks are advantageous but not required.

🏝️ Benefits

• Comprehensive benefits package including health, dental, and vision insurance.

• Opportunities for professional development and continuing education.

• Flexible work arrangements promoting work-life balance.

• Engaging company culture with a focus on innovation and teamwork.