Descripción de la oferta
Appodeal is a dynamic US-based product company with a truly global presence.We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world.Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.Why Appodeal?At Appodeal, we're more than just a company—we're a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.Here's what we value, and what we hope you do too:Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.Enjoying the Journey: We believe in having fun while working toward our goals.Appodeal is looking for a Head of Data & Automation to build and lead the data, analytics, and automation capabilities powering our mobile gaming business.This role sits at the intersection of product, monetization, growth (UA), and engineering, ensuring that the company operates on accurate, unified data and that teams can make fast, informed decisions.You will own the evolution of our data ecosystem, predictive modeling (including LTV), and automation systems, while integrating AI to accelerate internal processes and decision-making. Your work will directly impact how effectively we scale our portfolio of ad-monetized mobile games.Key ResponsibilitiesData Ecosystem OwnershipOwn and evolve the company's data infrastructure and analytics ecosystem across BI tools, attribution platforms, monetization analytics, and internal dashboards.Ensure accuracy, consistency, and alignment of data across all systems.Establish and maintain a single source of truth for key business metrics.Audit and improve data pipelines, tracking, and integrations across all services and tools.Predictive Modeling & ForecastingOwn and develop the company's predictive LTV models used across UA, product, and monetization teams.Continuously improve forecasting models for revenue, retention, and monetization performance.Ensure models are robust, interpretable, and embedded into decision-making workflows.Automation & Operational EfficiencyIdentify manual or inefficient processes and drive automation across teams (analytics, reporting, campaign monitoring, diagnostics).Build scalable systems that reduce operational overhead and improve speed of execution.Partner with engineering to implement reliable and scalable automation frameworks.Insights & Business ImpactAnalyze product and business performance to generate actionable insights for product, monetization, and UA teams.Work closely with stakeholders to diagnose performance issues, validate hypotheses, and identify growth opportunities.Translate complex data into clear recommendations for leadership and teams.AI-Driven WorkflowsIdentify opportunities to apply AI to internal processes and analytics workflows.Implement AI tools and agents for automated analysis, reporting, and experimentation diagnostics.Continuously explore and integrate emerging AI capabilities into the data infrastructure.Enabling Fast Decision-MakingDesign systems that allow teams to quickly test hypotheses and evaluate results.Ensure real-time visibility into key metrics and performance drivers.Support leadership with high-quality data insights for strategic decisions.RequirementsExperienceStrong experience in data analytics, data science, or data engineering in a tech, gaming, or digital product company.Proven track record of building and maintaining complex data ecosystems integrating multiple platforms.Experience developing predictive models, особенно LTV и revenue forecasting.Strong understanding of product, monetization, and growth (UA) analytics.Experience building automation systems and improving operational efficiency.Familiarity with AI tools and frameworks and interest in applying AI to business processes.Technical SkillsSolid understanding of data pipelines, ETL/ELT processes, and real-time analytics systems.Experience working with BI tools, attribution systems, and large-scale datasets.Understanding of ML applications in prediction, segmentation, and optimization.(Nice-to-have) Coding experience in Python, SQL, or backend languages.Soft SkillsStrong analytical thinking and problem-solving mindset.Ability to work cross-functionally with product, engineering, UA, and leadership teams.Clear communication: ability to translate data into business impact.Ownership mindset with a focus on impact and scalability.Why Join Us?Work on a large-scale mobile gaming portfolio with real impact on revenue and growth.Be at the center of data-driven decision-making across the company.Build systems that directly influence how we scale our games globally.Join a highly skilled, international team focused on innovation and results.With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.Join us and help shape the future of mobile app success!
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