Senior Data Product Manager

Who We Are

Allwyn Lottery Solutions is a global leader in digital lottery and gaming solutions and a proud subsidiary of Allwyn Entertainment Group, a multinational lottery operator with a strong presence in Austria, the Czech Republic, Greece, Cyprus, and Italy.

Our mission is to make play better for all by developing cutting-edge technology that enhances player experiences, drives engagement, and maximizes returns for good causes.

What We Do

We design and deliver innovative, scalable, and secure lottery solutions that evolve with the needs of players and operators. Our flagship platform, Genesis, provides a powerful foundation for lotteries worldwide, featuring:

•  Player Account Management (PAM) for secure and seamless player experiences
•  Draw-Based Games (DBG) for classic lottery draws
•  Nexus Aggregator & Apollo RGS for e-Instants and Fast Play™ games
•  Web & mobile applications for an enhanced and modern user experience
•  Command Admin Portal for streamlined operations
•  Optex Promotions to reward and engage players

With a focus on cloud-based technologies, AI-driven analytics, and responsible gaming, we empower lotteries to reach new players, expand engagement, and achieve sustainable growth in an evolving digital landscape.At Allwyn Lottery Solutions, you’ll be part of a forward-thinking, collaborative, and innovative team that is shaping the future of iLottery. 

Key Responsibilities

• Define the vision for how data and AI capabilities are standardised and scaled across operating companies.
• Identify and prioritise high-impact opportunities for:
• Data products (reports, analytics, dashboards, APIs, data services)
• AI/ML use cases (e.g. personalisation, forecasting, player insights, fraud detection)
• Align platform evolution with business priorities across multiple jurisdictions.
• Build business cases and define measurable value (e.g. revenue uplift, operational efficiency, customer engagement).

Data Product Discovery

• Partner with stakeholders across operating companies to identify key business problems and translate them into Data and AI solutions.
• Define and validate use cases using data, experimentation, and hypothesis-driven approaches.
• Establish clear KPIs for our data platform (adoption, usage, model performance, business impact).
• Drive a data-driven decision-making culture across the organisation.

Data Product Development

• Own and manage the roadmap, balancing:
• Group standardisation vs local market needs
• Platform scalability vs speed of delivery
• Coordinate data engineers, data scientists, and architects for them to define:
• Data pipelines and ingestion frameworks
• Data models and semantic layers
• AI/ML pipelines and model lifecycle
• Ensure the platform is built using modern, scalable architectures on AWS.
• Oversee the full lifecycle of data products—from ingestion to consumption and continuous improvement.

Data Governance & Compliance

• Coordinate to define and enforce standards for data quality, consistency, and reliability
• Collaborate with security and RG to define data privacy regulations, security, and responsible gaming principles

Data Innovation

• Drive the adoption of AI capabilities across the product, including machine learning models, predictive analytics and AI use cases where applicable
• Identify opportunities to leverage AI to enhance:
• Player experience
• Marketing effectiveness
• Operational efficiency

Cross-functional Leadership 

• Act as the bridge between:
• Business stakeholders (group and local markets)
• Data engineering and data science teams
• Technology leadership
• Align multiple operating companies on shared priorities and platform adoption.
• Drive clarity and decision-making in a complex, multi-market environment.

• Capable of presenting the product vision to senior stakeholders and the wider team in a succinct and cohesive way, ensuring that buy-in and common understanding is achieved at all levels. 
• Understanding and Past Experience with data platforms, including:
• Data lakes / lakehouse architectures
• ETL / ELT pipelines
• Data modelling and warehousing
• Experience with cloud-based data platforms

• Solid understanding of AI/ML concepts and lifecycle
• Experience working with data science teams 
• Familiarity with modern AI trends 

• Comfortable working closely with data engineers, scientists, architects

• 3+ years of experience in Product Management, including solid experience with data platforms or data products
• Past experience on Data Engineering and/or Software Engineering is considered a plus
• Proven experience delivering data-driven or AI-enabled products
• Experience with cloud platforms (AWS preferred)
• Experience in B2B platforms, gaming, or regulated environments is a strong advantage

At Allwyn LS, we know that great delivery starts with great people. Here’s what we offer to support you and help you thrive:

• A dynamic team of experts who’ll support your growth and share your ambition
• A diverse, international environment full of opportunity and challenge
• A comprehensive onboarding experience to set you up for success
• Competitive salary with a performance-based bonus
• Health and life insurance for you and your family
• Well-being allowance and monthly lunch allowance
• Extensive leave policy to support work-life balance
• Unlimited training resources and tools to support your development
• 360° feedback framework to help you grow your impact
• Employee Assistance Programme with professional counselling support
• Flexible working options (fully remote or hybrid)
• A modern tech setup including Apple equipment and best-in-class tools
• A stable, enjoyable working environment where delivery is valued

We’re proud to be an Equal Opportunity Employer. Allwyn values diversity and inclusion and welcomes applications from all backgrounds. We make employment decisions based on business needs, role requirements, and individual qualifications - never on age, disability, gender identity, sexual orientation, pregnancy, race, religion, or background. 

In 2025, Allwyn Lottery Solutions in Greece was recognised as one of the Great Place to Work® Hellas Best Workplaces™ for Women, highlighting our commitment to building inclusive, supportive environments where all employees can thrive.

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