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Tier4 Group Logo Tier4 Group · IT - Software Development

Senior Data Product Lead

United States, Atlanta · Job Posted June 29, 2026
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Job Description

We are seeking a senior-level, hands-on Senior Data Product Lead to own the end-to-end lifecycle of high-value data products in a fast-moving, evolving environment. This role requires a highly autonomous operator who can function as a "principled entrepreneur"—someone who treats data products like business assets, proactively drives adoption, and ensures delivery from concept through production. This is a contract role (6–12 months) supporting a newly forming data organization, where the permanent senior leadership structure is not yet in place. The contractor will play a critical role in stabilizing and accelerating early-stage data product development.

Job Responsibility

  • Partner directly with business stakeholders (RevOps, Product, Customer Success) to understand and translate use cases into data products
  • Own the full data product lifecycle from system of record → Snowflake data mart → end-user consumption tools
  • Direct Data Engineering teams to deliver scalable, production-ready data solutions
  • Perform hands-on validation and unit testing to ensure data accuracy, logic integrity, and business alignment
  • Identify gaps, inconsistencies, and opportunities across data pipelines and proactively resolve them
  • Ensure data products are usable, trusted, and adopted by end users
  • Operate independently in a high-ambiguity environment with minimal oversight

Requirements

  • Strong hands-on experience with Snowflake
  • Proven experience with: Snowflake Marketplace (publishing, consuming, or operationalizing data products), Medallion architecture (bronze, silver, gold layer design and implementation), Snowflake Cortex (AI-enabled data use cases, LLM/data interaction), Snowflake Streamlit (data applications and dashboards)
  • Strong understanding of data product lifecycle and operational data delivery
  • Ability to work directly with Data Engineering teams and guide execution without formal management authority
  • Hands-on technical capability (SQL, data validation, modeling as needed)
  • Strong communication skills with both technical and business stakeholders

Nice to have

  • Experience with ML feature stores and downstream AI/ML consumption layers
  • Experience operating in RevOps, Product, Customer Success, or cross-functional data environments
  • Background in startup, high-growth, or transformation-stage organizations
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