Director, Data Products – Platform Strategy

Stream Companies

. Own the data product and principal analyst responsibilities for Ask Liv, Stream's AI assistant built on Snowflake Cortex inside OrangeOS .

Posted 9/23/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data integration architecture and the ability to translate complex business requirements into technical specifications. Proficient in leveraging Snowflake and AI-assisted development tools to enhance data product delivery and quality.

Highest-signal resume keywords

Data Integration ArchitectureSnowflake ProficiencyAI Coding Agents ExperienceData Manipulation SkillsRetail Marketing Background

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData IntegrationData Model AuditsDocument ParsingOutput ReconciliationAcceptance Criteria DefinitionData ManipulationAutomationLight AI DevelopmentMulti-Source Data Solutions

Soft Skills

Excellent CommunicationStrategic ThinkingLeadership Without Authority

Tools & Technologies

SnowflakeAI Coding AgentsGitHub CopilotClaude CodeCursorOrangeOSCRM SystemsDMS SystemsIMS SystemsMulti-Tenant SaaS

Industry Keywords

Automotive RetailDigital Retail ExperiencesMarketing DataCustomer-Facing ProductsPromotionsIncentivesPersonalizationMartech

Tech Stack

Tools & technologies

JavaScriptLaravelPHPVue.js

About the role

Key responsibilities & impact

Own the data product and principal analyst responsibilities for Ask Liv, Stream's AI assistant built on Snowflake Cortex inside OrangeOS
Own semantic views, business definitions, Snowflake access controls, and data model audits for Ask Liv
Control retrieval accuracy through chunk sizing, document parsing, embedding configuration, output reconciliation, and evaluation test sets
Maintain and monitor ingestion pipelines for inventory, dealer feeds, CRM, and marketing data
Translate business questions into OrangeOS data structures and define acceptance criteria
Lead the data and delivery strategy for Liquid Shopper's dealership back-office systems integration
Analyze DMS, IMS, and CRM systems and map their data to functionality and value in Liquid Shopper
Own data integration architecture for the multi-tenant platform, including inventory, incentive, pricing, and marketing content
Translate dealer and retail-marketing requirements into technical specifications and acceptance criteria
Champion AI-assisted, agentic development with the offshore team
Drive sprint planning, backlog prioritization, and quality review as the senior technical voice
Partner with the VP of Product on scope, sequencing, and trade-offs as Liquid Shopper becomes a sellable product

Requirements

What you’ll need

Extensive experience architecting and integrating data solutions across large, multi-source environments, including CRM, transactional, inventory/product feeds, and marketing/campaign data
Ability to reason broadly about data architecture and quickly become a Snowflake power user
Hands-on experience building applications or workflows using AI coding agents and assistants such as Claude Code, GitHub Copilot, or Cursor
Working familiarity with GenAI or LLM-powered products, including RAG concepts, chunking, retrieval, embeddings, and output-quality evaluation
Track record of owning data integration across multiple sources for a customer-facing product
Experience translating business or marketing requirements into technical specifications and acceptance criteria for distributed or offshore development teams
Retail marketing or merchandising background, including promotions, incentives, offers, personalization, or customer-facing digital retail experiences
Strong data manipulation, automation, and light AI/workflow development skills
Excellent communication across executive and developer audiences
Ability to drive strategy, architecture, and delivery quality directly without relying on formal management authority
Automotive experience is a strong plus, not a requirement
Direct Snowflake experience, multi-tenant SaaS experience, offshore engineering leadership, automotive retail/dealer marketing/martech background, and familiarity with PHP, Laravel, Vue.js, or comparable frameworks are nice to have, not required