Client Command

Data Product Manager

Client Command

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

SQL

About the role

  • Own and execute product strategy and roadmap for the Active Shopper Network®, including taxonomy, data quality, and vertical expansion.
  • Manage and enhance automotive taxonomy powering shopper identification algorithms.
  • Lead cross-functional initiatives to improve identification accuracy, expand coverage, and accelerate time-to-identification.
  • Partner with Data Science and Engineering on machine learning enhancements and scalable data architectures.
  • Define and track key product metrics (accuracy, coverage, data freshness, reliability).
  • Analyze and execute go-to-market strategies for new data usage (e.g., real estate, home improvement, financial services).
  • Create expansion roadmaps, lead pilots, and integrate data sources for vertical growth.
  • Standardize data schemas, improve data quality, and enhance real-time data processing.
  • Support sales with product expertise and enterprise client solutions.
  • Ensure compliance with industry regulations, privacy, and governance standards.
  • Build dashboards, run deep-dive analyses, and lead A/B testing to optimize performance.
  • Read and maintain technical documentation, APIs, and integration requirements.
  • Develop internal knowledge bases and maintain compliance documentation (SOC2, NIST CSF, etc.)

Requirements

  • 5+ years in product management (3+ in data products ); background in automotive, MarTech /AdTech, or related industries preferred.
  • Proven success developing and launching data products, managing taxonomies, improving data quality, and leading vertical expansion initiatives.
  • Advanced SQL; familiarity with BI tools, data pipelines, APIs, real-time processing, and machine learning applications.
  • Strong ability to analyze complex datasets, conduct market research, and translate insights into product strategies.
  • Knowledge of data governance, privacy regulations (GDPR, CCPA), and compliance frameworks.
  • Skilled at cross-functional leadership, stakeholder management, and presenting technical concepts to diverse audiences.
  • Bachelor’s in Business , Engineering, Computer/Data Science, or related field (MBA preferred) OR equivalent experience.
  • Experience in agile environments; strong project management skills; self-motivated with a growth mindset.
  • Ability to work with multiple priorities and pivot easily.
  • Master's degree in Business Administration , Data Science, Computer Science, or related technical field
  • 7+ years of product management experience with specific focus on B2B data products or marketing technology platforms
  • Previous experience managing vertical expansion initiatives or multi-market product strategies
  • Background in automotive technology, dealership management systems, or automotive data analytics
  • Experience with real-time data processing, machine learning model deployment, or large-scale taxonomy management
  • Prior experience collaborating with data scientists or engineers on predictive or AI-driven projects
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