Senior Data Product Lead

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Job description

Job Title: Senior Data Product Lead
Location: Hybrid – Atlanta
Contract: 6–12 Months+

Overview

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.

Key Responsibilities

  • 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

Required Experience & Skills

  • 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

Ideal Candidate Profile

The ideal candidate is a hybrid of:

  • Data product leader
  • Hands-on technical operator
  • Business-minded problem solver

They are comfortable working without structure, thrive in ambiguity, and naturally think in terms of:

  • Adoption
  • Business impact
  • Data usability
  • End-to-end ownership

This is not a supervisory role—it is a hands-on execution + ownership role requiring senior judgment and technical depth.

Job details

Job type Contract

Location Atlanta, Georgia

Reference JOB-5284

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