Product Manager – Data

📋 Description

• Take ownership of the data platform roadmap.

• Prioritize and oversee initiatives related to the ingestion, transformation, categorization, storage, and delivery of data to downstream systems and products.

• Manage relationships with vendors.

• Assess, negotiate, and supervise external data partnerships, ensuring quality, cost-effectiveness, and compliance.

• Lead internal data initiatives and guide the Data team in developing categorization logic, enrichment pipelines, and insights layers to facilitate reporting, analytics, and product functionality.

• Define and document product requirements for data feeds, APIs, schemas, and reporting layers that will enhance customer-facing applications.

• Collaborate with Engineering and Data teams to ensure a robust architecture, scalability, and high-quality data availability across products.

• Drive insight generation and work alongside Data Science and Analytics teams to highlight KPIs, benchmarks, and predictive capabilities that enhance client outcomes.

• Advocate for data quality and governance by establishing standards for accuracy, consistency, and transparency across datasets.

• Convert business needs into data capabilities, ensuring customer requirements are satisfied with clear, actionable use cases.

• Support go-to-market readiness by equipping Marketing, Sales, and Client Success teams with appropriate narratives, use cases, and enablement tools surrounding data-driven features.

• Assess new data opportunities and pinpoint emerging data sources, licensing models, and enrichment services to broaden product capabilities.

⛳️ Requirements

• 3–7 years of experience in Product Management, focusing on data products, platforms, or analytics solutions.

• Demonstrated ability to collaborate with data teams on pipelines, ETL processes, APIs, and data architecture principles.

• Experience in managing external vendor relationships, licensing agreements, or third-party data integrations.

• Practical experience in delivering products that utilize complex datasets (e.g., categorization, forecasting, benchmarking, optimization).

• Strong analytical skills, including the capability to interpret data models, dashboards, and usage metrics to guide product strategy.

• Familiarity with SQL, data warehousing (e.g., Snowflake, Redshift, BigQuery), or BI tools (e.g., Tableau, Looker, Power BI) is preferred.

• A background in automotive fixed operations, transportation, logistics, or related industries is strongly preferred.

• Proven ability to partner with Engineering and Data Science teams to deliver scalable, high-impact products.

• Exceptional communication and stakeholder management skills, with the ability to articulate technical data concepts in business terms.

• Bachelor’s degree in Computer Science, Engineering, Data Analytics, or a related field is preferred.

• Pragmatic Institute Certification or similar product training is a plus.

🏝️ Benefits

• Comprehensive benefits package including health, dental, and vision insurance.

• Stock options.

• Work-from-home options and flexible scheduling based on job requirements.

• Opportunities for professional development.

• 9 paid holidays.

• 15 days of paid time off (PTO).

• Support for home office setup for remote employees.

• A welcome “swag bag” with branded apparel as a formal introduction to the team.