Own the data platform roadmap.
Prioritize and manage initiatives for ingestion, transformation, categorization, storage, and delivery of data to downstream systems and products.
Manage vendor relationships.
Evaluate, negotiate, and oversee external data partnerships, ensuring quality, cost-effectiveness, and compliance
Lead internal data initiatives and guide the Data team in building categorization logic, enrichment pipelines, and insights layers to support reporting, analytics, and product functionality.
Define and document product requirements for data feeds, APIs, schemas, and reporting layers that will power customer facing applications
Partner with Engineering and Data teams to ensure robust architecture, scalability, and high quality data availability across products
Drive insight generation and collaborate with Data Science and Analytics teams to surface KPIs, benchmarks, and predictive capabilities that improve client outcomes.
Champion data quality and governance by setting standards for accuracy, consistency, and transparency across datasets.
Translate business needs into data capabilities, ensuring customer requirements are met with clear, actionable use cases.
Support go-to-market readiness by enabling Marketing, Sales, and Client Success with the right narratives, use cases, and enablement tools around data driven features.
Evaluate new data opportunities and identify emerging data sources, licensing models, and enrichment services that can expand product capabilities.

3–7 years of Product Management experience, with a focus on data products, platforms, or analytics solutions
Proven ability to work with data teams on pipelines, ETL processes, APIs, and data architecture concepts
Experience managing external vendor relationships, licensing agreements, or third-party data integrations
Hands-on experience delivering products leveraging complex datasets (e.g., categorization, forecasting, benchmarking, optimization)
Strong analytical skills, including the ability to interpret data models, dashboards, and usage metrics to inform product strategy
Familiarity with SQL, data warehousing (e.g., Snowflake, Redshift, BigQuery), or BI tools (e.g., Tableau, Looker, Power BI) preferred
Background in automotive fixed ops, transportation, logistics, or similar industries strongly preferred
Demonstrated ability to partner with Engineering and Data Science teams to deliver scalable, high-impact products
Excellent communication and stakeholder management skills, with the ability to explain technical data concepts in business terms
Bachelor’s degree in Computer Science, Engineering, Data Analytics, or related field preferred
Pragmatic Institute Certification or similar product training a plus.

Product Manager – Data

Key skills