Data Product Owner

This is a fully remote position, open to applicants in Florida.

📋 Description

• Take full ownership of the end-to-end delivery of data as a product by collaborating with customers and internal teams to establish a market-leading data offering.

• Track internal processes and product performance through Power BI dashboards, KPIs, and data quality indicators; identify challenges and implement corrective measures.

• Manage the data product roadmap and backlog: outline epics, create user stories with acceptance criteria, and prioritize deliveries based on customer value, risk, and feasibility.

• Formulate a strategic plan to advance current data capabilities into a top-tier data product (including data access, packaging, governance, pricing/entitlements, and customer experience).

• Drive requirements alongside the established enterprise IT data management team to access, model, and transform data into customer-ready insights and products.

• Collaborate across various functions including IT engineering, analytics, security, legal/compliance, and customer teams to deliver secure, reliable, and scalable data products.

⛳️ Requirements

• A Bachelor’s Degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (or equivalent experience).

• A minimum of 3 years in product ownership/management, technical program management, or analytics roles focused on delivering data platforms, data products, or API-enabled capabilities.

• Practical experience with Power BI (or similar tools) for KPI definition, dashboard creation, and performance monitoring.

• Strong understanding of cloud data warehousing and analytics patterns; experience with Snowflake is preferred.

• Familiarity with APIs (including REST concepts, authentication/authorization, versioning) and understanding how customers programmatically consume data products.

• Knowledge of machine learning concepts and lifecycle (feature definition, evaluation metrics, monitoring/drift) and collaboration with data science teams to deliver ML-enabled products.

• Awareness of ML Ops practices (model deployment, monitoring, drift detection) and experimentation/A-B testing methodologies.

• Proficient understanding of agile practices and tools (e.g., Scrum/Kanban; Jira/Azure DevOps).

🏝️ Benefits

• Comprehensive health and welfare benefits.

• Options for medical, prescription, dental, vision, life insurance, and disability insurance.

• Paid time off for vacation, illness, bereavement, as well as family and parental leave.

• Tax-advantaged 401(k) retirement savings plan.