AI Product Owner

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    "description": "<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Description</span></span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">We are looking for an experienced and forward-thinking AI Product Owner to join Digitain's AI Lab and drive the development of next-generation Artificial Intelligence solutions across our iGaming ecosystem. The AI Product Owner will act as the bridge between business stakeholders, data scientists, machine learning engineers, software development teams, and product leaders to transform AI opportunities into scalable products that generate measurable business value. </span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">This role requires a combination of product management expertise, data-driven decision making, AI/ML understanding, and strong stakeholder management skills. The successful candidate will own the AI product roadmap, prioritize initiatives, define requirements, and ensure successful delivery of AI-powered products that enhance customer experience, operational efficiency, responsible gaming, fraud prevention, CRM effectiveness, and business intelligence. </span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Responsibilities</span> </span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">AI Product Strategy &amp; Roadmap</span> </span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Define and maintain the AI Lab product roadmap aligned with company objectives and strategic priorities.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Identify and evaluate AI opportunities across sportsbook, casino, CRM, payments, fraud detection, risk management, customer support, and responsible gaming.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Translate business challenges into AI product initiatives with measurable KPIs and ROI expectations.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Conduct market research and competitive analysis on AI adoption within the iGaming industry.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Build business cases for new AI solutions and prioritize initiatives based on impact, feasibility, and strategic value.  </span></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Product Ownership</span> </span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Own the end-to-end lifecycle of AI products from ideation through deployment and continuous improvement.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Create and manage product backlogs, user stories, acceptance criteria, and release plans.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Work closely with Data Science, MLOps, Engineering, UX, and Business teams to ensure successful delivery.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Prioritize features and experiments based on business objectives and data-driven insights.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Define MVPs and phased delivery strategies for AI products.  </span></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">AI &amp; Data Collaboration</span> </span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Collaborate with data scientists and ML engineers to understand model capabilities, limitations, and performance metrics.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Define requirements for machine learning models, data pipelines, and AI-driven workflows.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Ensure AI solutions are aligned with operational, compliance, and business requirements.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Participate in model evaluation, validation, and production readiness reviews.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Support MLOps and model governance processes.  </span></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Stakeholder Management</span> </span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Act as the primary liaison between business stakeholders and technical AI teams.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Gather requirements from executive leadership, product teams, operations, marketing, CRM, trading, and compliance departments.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Present product vision, roadmap updates, and performance metrics to senior management.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Facilitate workshops and discovery sessions to identify new AI use cases.  </span></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Performance &amp; Analytics</span> </span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Define product success metrics and monitor AI product performance.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Measure model impact through business KPIs, including:  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Revenue uplift  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Customer retention  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Churn reduction  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Fraud prevention effectiveness  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Responsible gaming outcomes  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Operational efficiency improvements  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Drive continuous optimization through experimentation and A/B testing.  </span></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"> <span style=\"font-weight: bold\">Example AI Products within the AI Lab</span> </span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">The AI Product Owner may oversee initiatives such as: </span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Personalized casino and sportsbook recommendation engines  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Customer Lifetime Value (CLV) prediction models  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Churn prediction and retention optimization systems  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Fraud and anomaly detection platforms  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Responsible gaming monitoring solutions  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">CRM segmentation and next-best-action models  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">AI-powered customer support assistants  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Sports analytics and AI scouting platforms  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Large Language Model (LLM) applications and internal AI copilots  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Automated reporting and business intelligence solutions  </span></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Requirements</span></span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, Mathematics, Economics, or a related field.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Master's degree is considered an advantage.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">4+ years of Product Management or Product Ownership experience.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">2+ years working directly with AI, Machine Learning, Data Science, or Analytics teams.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience managing technical products with complex data and software components.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience working in Agile/Scrum environments.  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience in iGaming, Sports Betting, FinTech, AdTech, or highly data-driven industries is preferred.  </span></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong understanding of: </span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Machine Learning concepts  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Predictive analytics  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Recommendation systems  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Classification and regression models  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Generative AI and LLMs  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">MLOps concepts  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Data warehousing and analytics platforms  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">API-based product architectures  </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experimentation and A/B testing methodologies  </span></li>\n</ul>",
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