Technical Data Product Owner

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

📋 Description

• Take ownership of product priorities, manage and enhance the product backlog, and play a role in shaping the roadmap.

• Balance business value, user requirements, compliance obligations, and platform sustainability.

• Collaborate with Commercial, Marketing, Risk, and Compliance stakeholders to pinpoint issues and convert needs into product specifications.

• Create Business Requirements Documents (BRDs), user stories, technical specifications, and acceptance criteria that detail data flows, transformation rules, integrations, and expected behaviors.

• Utilize SQL across SQL Server and Snowflake to explore datasets, confirm business rules, reconcile outputs, and facilitate evidence-based decision-making.

• Work alongside engineers and architects on data models, ETL/ELT pipelines, APIs, and reporting specifications.

• Incorporate data quality, security, lineage, scalability, and auditability into requirements.

• Assist in validating AML and blacklist-related modifications with appropriate specialists.

• Support root-cause analysis and prioritize the remediation of data defects, legacy constraints, and technical debts.

• Lead backlog refinement sessions and clarify product decisions, collaborating with the Agile Delivery Manager on dependencies and planning.

• Validate modifications against acceptance criteria and document insights to guide future priorities.

• Provide a comprehensive knowledge base and handover package to ensure continuity at the conclusion of the six-month assignment.

⛳️ Requirements

• Practical experience with data products and confidence in handling data directly.

• Hands-on expertise with SQL, SQL Server, and Snowflake.

• Demonstrated experience as a Data Product Owner or Technical Product Manager, or as a Data/Systems Analyst with clear evidence of backlog management and product prioritization.

• Solid understanding of relational data models, data warehousing, ETL/ELT processes, data quality, data lineage, and how data supports reporting, analytics, and operational workflows.

• Ability to independently craft and interpret complex SQL queries, including joins, aggregations, CTEs, and window functions, across SQL Server and Snowflake.

• Capability to translate intricate business requirements into clear specifications, user stories, and measurable acceptance criteria.

• Experience collaborating with data engineers, architects, and analysts on pipelines, integrations, and data models.

• Proficiency in explaining technical concepts to non-technical business stakeholders, constructively challenging assumptions, and fostering consensus.

• Experience leading backlog refinement within an Agile team and working autonomously.

• Familiarity with CLCM/CRM, tagging and tracking, marketing data, AML and blacklist controls, or bonus offers and personalization is a plus.

• Experience in the betting and gaming sector or another highly regulated industry is advantageous.

• Knowledge of AWS, Jira, and Confluence is beneficial.

🏝️ Benefits

• Six-month cover assignment during an internal secondment.

• Remote work opportunity.

• Full-time employment.