Data Product Owner

Description

We are seeking a Data Product Owner to lead the vision, strategy, and execution of our data and AI/ML products. This role bridges business stakeholders, data engineering, and data science, ensuring that our data assets, analytics platforms, and machine learning models deliver measurable value. The ideal candidate combines product management expertise with strong knowledge of data, analytics, and applied AI/ML.

Responsibilities

Define and own the roadmap for data and AI/ML products (data platforms, APIs, dashboards, predictive models, recommendation engines, NLP/vision solutions, etc.)

Translate business goals into AI/ML-enabled product strategies that drive automation, insights, and competitive advantage

Partner with business stakeholders to identify opportunities where AI/ML and advanced analytics can create value

Act as the key interface between data scientists, engineers, and business units, aligning priorities across teams

Maintain and refine product backlog; write detailed user stories with business and technical acceptance criteria

Work closely with data scientists to design, build, and deploy ML models into production

Ensure data quality, explainability, scalability, and performance are built into all products

Oversee the lifecycle of ML models (development, deployment, monitoring, retraining)

Ensure data and AI/ML products comply with internal policies and regulatory requirements (GDPR, responsible AI, gaming/financial regulations)

Have minimal knowledge in MLOps, metadata management, and data governance

Requirements

Proven experience as a Product Owner / Product Manager in data, AI/ML, or analytics-focused products

Strong understanding of data science workflows, machine learning lifecycle

Domain knowledge in iGaming, fintech, or other data-intensive industries

Understanding of responsible AI, model explainability, and bias mitigation

Ability to identify and prioritize high-value AI/ML use cases

Familiarity with data engineering and BI platforms

Hands-on exposure to AI/ML concepts (predictive modeling, NLP, computer vision, recommendation systems)

Excellent communication and stakeholder management skills, with the ability to align technical and business teams

Experience with Agile/Scrum and product backlog management