Allwyn Lottery Solutions

Senior Data Product Manager

Allwyn Lottery Solutions

full-time

Posted on:

Location Type: Hybrid

Location: Marousi • Greece

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Job Level

Senior

Tech Stack

AWSCloud

About the role

  • 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).
  • 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.
  • 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.
  • 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
  • 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
  • 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.

Requirements

  • 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
Benefits
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data productsAI/ML use casesdata pipelinesdata modelsAI/ML pipelinesdata quality standardsdata privacy regulationspredictive analyticscloud platformsdata-driven decision making
Soft Skills
stakeholder managementcollaborationcommunicationproblem solvingdecision makingvision definitionprioritizationroadmap managementadaptabilityleadership