Director, Data Products & Platform Strategy

Stream Companies is a full‑service, fully integrated advertising agency founded in 1997 and headquartered in Malvern, Pennsylvania. The agency partners with clients to launch, position, and manage brands through both full‑service relationships and project‑based work, combining strategic planning, creative development, media planning and buying, digital, interactive, television, production, and co‑op management with cutting‑edge technology.

About the Role

This senior role focuses on making messy, multi‑source data useful, trustworthy, and commercially sharp. You will serve as the data product owner and principal analyst for Ask Liv, the AI assistant built on Snowflake Cortex inside OrangeOS, and as the strategic and technical lead for an offshore team building Liquid Shopper, a new multi‑tenant dealer‑website platform. You will report directly to the VP of Product and collaborate with product, engineering, and data teams across both initiatives.

What You’ll Do

• Own the data and AI foundation behind Ask Liv (OrangeOS).
• Semantic layer & governance: Own the semantic views and business definitions that encode what counts as a sale, a lead, or a qualifying offer, and administer Snowflake access controls for the AI platform. Audit and refactor existing data models as needed.
• Retrieval & output quality: Control retrieval accuracy through chunk sizing, document parsing, and embedding configuration; reconcile Ask Liv’s outputs against reporting models; audit vehicle offer and payment calculations for compliance risk; expand evaluation test sets from real output failures.
• Pipeline ownership: Maintain and monitor ingestion pipelines feeding the platform—inventory, dealer feeds, CRM, and marketing data—and alert on freshness or reliability issues before they reach the chatbot.
• Cross‑functional translation: Act as the liaison between product, engineering, and data—converting business questions into OrangeOS data structures and defining acceptance criteria for data‑related work.
• Lead the data and delivery strategy for Liquid Shopper:
  • Back‑office systems integration: Dive into dealership back‑office systems (DMS, IMS, CRM) to understand data holdings and map them to functionality and value inside Liquid Shopper.
  • Data integration & architecture: Own the data integration strategy for a multi‑tenant platform, unifying dealer inventory, incentive and pricing data, and marketing content across many client sites while preserving tenant‑level nuance.
  • Retail marketing translation: Convert dealer and retail‑marketing requirements—offers, promotions, personalization, merchandising—into technical specifications and acceptance criteria for the offshore team.
  • AI‑first delivery: Champion an AI‑assisted, agentic development approach with the offshore team, using AI coding agents to increase velocity and quality while reducing required engineering headcount.
  • Offshore build coordination: Drive sprint planning, backlog priority, and quality review as the senior technical voice for the offshore development team.
  • Roadmap partnership: Serve as a strategic partner to the VP of Product on scope, sequencing, and trade‑offs as Liquid Shopper moves from build to a sellable, multi‑tenant product.

What You’ll Bring

• Extensive experience architecting and integrating data solutions across large, multi‑source environments (CRM, transactional, inventory/product feeds, marketing/campaign data).
• Ability to reason about data architecture broadly and quickly become a Snowflake power user, aided by AI copilots such as Snowflake’s Cortex/CoCo‑style assistants.
• Hands‑on experience building applications or workflows using AI coding agents and assistants (e.g., Claude Code, GitHub Copilot, Cursor); comfortable directing and reviewing AI‑generated work.
• Working familiarity with GenAI or LLM‑powered products—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 development teams, including distributed or offshore teams, without formal management authority.
• Retail marketing or merchandising background: familiarity with promotions, incentive or offer structures, personalization, or customer‑facing digital retail experiences.
• Automotive experience is a strong plus, not a requirement.
• Strong data manipulation, automation, and light AI/workflow development skills.
• Excellent communication across audiences—equally comfortable briefing an executive on a product trade‑off and a developer on a data model.
• Comfort driving strategy, architecture, and delivery quality directly; the role is measured on impact, not on team size.

Nice to Have

• Direct Snowflake experience—semantic/metric layer design, RBAC and access governance, or Snowflake Cortex (Analyst, Search, or Agents).
• Experience standing up or scaling a multi‑tenant SaaS platform.
• Prior experience directing offshore or outsourced engineering teams.
• Automotive retail, dealer marketing, or martech background.
• Familiarity with PHP, Laravel, or Vue.js (Stream’s core stack) or comparable frameworks.

Why This Role

This isn’t a caretaker seat. You’ll own the data and AI strategy behind Ask Liv as it prepares to launch, while also serving as the senior strategic voice building Liquid Shopper from the ground up. Working directly with the VP of Product, you’ll have real influence over two of Stream’s most strategic technology bets and a clear path to leading the Liquid Shopper team as the platform grows.