Data Product Owner

Ryder; Town of Florida (NY); On-site; USD 100,000 - 115,000; Full time

Job summary

Ryder is seeking a Data Product Owner to lead end-to-end data products, partnering with customers and internal teams to deliver secure, scalable data offerings.

You will translate needs into clear requirements, own the product roadmap, ensure high-quality data assets and APIs, and develop ML-enabled features with IT data teams. This role requires collaboration across IT, analytics, security, and compliance to balance value with risk.

Qualifications

• Demonstrated ability to run customer discovery and translate needs into technical requirements, user stories, and measurable outcomes.
• Hands-on experience with Power BI for KPI definition, dashboarding, and performance monitoring.
• Experience visualizing data and communicating insights to both technical and non-technical stakeholders.
• 3+ years in product ownership/management, technical program management, or analytics roles delivering data platforms, data products, or API-enabled capabilities.
• Strong working knowledge of cloud data warehousing and analytics patterns; Snowflake preferred.

Responsibilities

• Monitor internal processes and product performance using Power BI dashboards, KPIs, and data quality signals; identify issues and drive corrective actions.
• Own the data product roadmap and backlog: define epics, write user stories with acceptance criteria, and prioritize delivery based on customer value, risk, and feasibility.
• Develop a strategic plan to evolve current data capabilities into a market-leading data product (e.g., data access, packaging, governance, pricing/entitlements, and customer experience).
• Drive requirements with the established enterprise IT data management team to access, model, and transform data into customer-ready insights and products.
• Partner with IT Data and AI teams to expose data to customers safely and effectively, including enabling data for GenAI and ML use cases.
• Assess customer needs for data and access to data through discovery, interviews, and feedback loops; translate needs into API, dataset, and analytics requirements.
• Develop and operationalize machine learning models that support fleet managers in daily operations, collaborating with IT data science and engineering.
• Define and maintain product metrics (adoption, latency, freshness, accuracy, SLAs) and establish ongoing observability for data pipelines and APIs.
• Collaborate cross-functionally with IT engineering, analytics, security, legal/compliance, and customer teams to deliver secure, reliable, and scalable data products.

Skills

Power BI

Stakeholder management

Requirements gathering

APIs & data products

Cloud data warehousing

Product ownership

Education

Bachelor's degree in Computer Science / Information Systems / Data Science / Engineering

Tools

Snowflake

Jira

Azure DevOps

Job description

Summary

The Data Product Owner role owns the end‑to‑end delivery of data as a product—partnering with customers and internal teams to define a market‑leading data offering, translate needs into clear requirements, and ensure high‑quality, secure, and scalable data products.

Key Responsibilities

• Monitor internal processes and product performance using Power BI dashboards, KPIs, and data quality signals; identify issues and drive corrective actions.
• Own the data product roadmap and backlog: define epics, write user stories with acceptance criteria, and prioritize delivery based on customer value, risk, and feasibility.
• Develop a strategic plan to evolve current data capabilities into a market‑leading data product (e.g., data access, packaging, governance, pricing/entitlements, and customer experience).
• Drive requirements with the established enterprise IT data management team to access, model, and transform data (e.g., in Snowflake) into customer‑ready insights and products.
• Partner with IT Data and AI teams to expose data to customers safely and effectively, including enabling data for GenAI and ML use cases.
• Assess customer needs for data and access to data through discovery, interviews, and feedback loops; translate needs into API, dataset, and analytics requirements.
• Develop and operationalize machine learning models that support fleet managers in daily operations (e.g., predictions, anomaly detection, recommendations), collaborating with IT data science and engineering.
• Define and maintain product metrics (adoption, latency, freshness, accuracy, SLAs) and establish ongoing observability for data pipelines and APIs.
• Collaborate cross‑functionally with IT engineering, analytics, security, legal/compliance, and customer teams to deliver secure, reliable, and scalable data products.

Additional Responsibilities

• Perform other duties as assigned.

Required Skills and Abilities

• Demonstrated ability to run customer discovery and translate needs into technical requirements, user stories, and measurable outcomes.
• Hands‑on experience with Power BI (or similar) for KPI definition, dashboarding, and performance monitoring.
• Experience visualizing data and communicating insights to both technical and non‑technical stakeholders.
• Excellent communication, stakeholder management, and ability to drive decisions in ambiguous, cross‑functional environments.
• Experience with data product governance (data contracts, catalog/lineage, quality rules, entitlement models, privacy‑by‑design).
• 3+ years in product ownership/management, technical program management, or analytics roles delivering data platforms, data products, or API‑enabled capabilities.
• Strong working knowledge of cloud data warehousing and analytics patterns; experience with Snowflake preferred.
• Understanding of APIs (REST concepts, authentication/authorization, versioning) and how customers consume data products programmatically.
• Familiarity with machine learning concepts and lifecycle (feature definition, evaluation metrics, monitoring/drift) and partnering with data science teams to deliver ML‑enabled products.
• Familiarity with ML Ops practices (model deployment, monitoring, drift detection) and experimentation/A‑B testing.

Preferred Skills

• Experience in logistics, fleet management, telematics, or operational analytics.
• Bachelor’s Degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (or equivalent experience).
• Working knowledge of agile practices and tools (e.g., Scrum/Kanban; Jira/Azure DevOps).
• Certified Scrum Product Owner (CSPO).
• Microsoft Certified: Power BI Data Analyst Associate (PL‑300).
• Snowflake SnowPro Core Certification.

Travel Requirements

Travel Yes, 1–10%

Job Category

Product Development

Compensation

Minimum Pay Range: $100,000.00 | Maximum Pay Range: $115,000.00

Benefits

Ryder offers comprehensive health and welfare benefits for full‑time positions, including medical, prescription, dental, vision, life insurance and disability insurance options, paid time off for vacation, illness, bereavement, family and parental leave, and a tax‑advantaged 401(k) retirement savings plan.

Equal Opportunity Employer

Ryder is proud to be an Equal Opportunity Employer and Drug‑free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.