Head of Data & Automation

^{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 Responsibilities}

^{Data Ecosystem Ownership}

• ^{Own 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 & Forecasting}

• ^{Own 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 Efficiency}

• ^{Identify 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 Impact}

• ^{Analyze 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 Workflows}

• ^{Identify 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-Making}

• ^{Design 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.}

^Requirements

^Experience

• ^{Strong 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 Skills}

• ^{Solid 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 Skills}

• ^{Strong 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.}