🚀 Product Data Manager

Our client, a leading company in the online gambling industry, are seeking a Data Product Manager, who will ensure their data team delivers high-quality, reliable, and business-relevant data products that empower decision-making across the company.

What You’ll do:

Stakeholder Collaboration:

• Partner with business stakeholders across finance, compliance, CRM, product and operations to gather requirements, prioritize needs, and ensure our data products solve the most important problems.
• Drive increased adoption of our data products and assets by training the business users.

Backlog Ownership:

• Prioritize the data product backlog, ensuring alignment with business priorities and strategic goals.
• Ensure that the backlog acts as a means of communication for anyone to understand what the team is working on.

Data Product Management:

• Define and document the standards for each data product we offer internally or to third-parties. This can include
• level of data documentation required
• latency required
• ownership and access management
• suitable development workflows (CI/CD)
• data quality processes (monitoring, alerting & incident management)
• usage targets
• Increase the use of data governance tools such as data catalogs and lineage tracking to increase trust, discoverability, and compliance across the organization.

Hands-on Contribution:

• Contribute directly to core data products when needed

What You’ll bring:

• 5+ years of experience in data product management, data engineering, or analytics engineering.
• Experience in the iGaming industry
• Good understanding of modern data architectures — including data warehousing, ETL/ELT pipelines, and cloud-native platforms (AWS preferred).
• Hands-on experience with real-time analytics tooling such as Kafka, Spark Streaming, Flink, or Druid preferred.
• Proven track record of delivering and scaling complex data products that drive measurable business value..
• Knowledge of data governance practices and how to embed them into product delivery.
• Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions.
• Professional-level English proficiency in both written and verbal communication