The CDO will be a key member of the executive leadership team, responsible for defining and implementing Xsolla’s enterprise-wide data strategy. Data plays a critical role in improving monetization outcomes for game developers, and this leader will own that strategy end-to-end — from vision and governance through hands-on execution — ensuring that the insights we generate translate directly into better monetization performance for our customers.
This is a hands-on, technically fluent leadership role. The ideal candidate brings a strong background in machine learning and AI, with the ability to personally guide the development of models, design rigorous A/B testing frameworks, and evaluate model performance to identify and scale the improvements that move the needle for game developers.
- Define, own, and evolve Xsolla’s company-wide data strategy, aligning data initiatives with the goal of improving monetization outcomes for game developers and publishers.
- Translate strategy into execution: build and lead the teams, roadmaps, and infrastructure needed to turn Xsolla’s data into a durable competitive advantage.
- Partner with product, engineering, marketing, and operations teams to identify where data and machine learning can directly increase developer revenue and player lifetime value.
- Build, guide, and evaluate machine learning and AI models — designing controlled A/B and multivariate tests to compare model approaches and rigorously validate which produce measurable monetization improvements.
- Establish a scalable experimentation culture, including test design standards, statistical rigor, and clear frameworks for deciding when a model or approach should be rolled out broadly.
- Own data governance, quality, security, and privacy practices, ensuring compliance with relevant regulations (e.g., GDPR) and internal policy across all markets Xsolla serves.
- Build and scale a high-performing data organization, including data science, analytics engineering, and ML engineering talent.
- Hire and grow a strong team of data scientists and analysts, setting the technical bar and career development path for the function.
- Break down data silos across the organization and champion a data-driven culture among executive peers and cross-functional teams.
- Report on data strategy progress, model performance, and monetization impact to the CTO and executive leadership team.
- Proven experience as a CDO, VP of Data/Analytics, or in a comparable senior data leadership role, ideally within gaming, monetization, payments, or a related technology sector.
- Strong hands-on background in machine learning and AI, with direct experience building, training, and evaluating models — not solely managing teams that do.
- Demonstrated experience designing and running A/B tests or other experimentation frameworks to compare model or product variants and drive decisions from the results.
- A track record of translating data strategy into measurable business outcomes, ideally tied to revenue or monetization growth.
- Deep knowledge of data governance, data architecture, and modern data infrastructure (cloud data platforms, pipelines, MLOps).
- Strong executive presence and communication skills, with the ability to influence peers, the board, and cross-functional stakeholders.
- Bachelor’s degree in a quantitative field (Computer Science, Statistics, Data Science, Engineering, or related); advanced degree preferred.
- 10+ years of progressive experience in data, analytics, or ML leadership roles, including experience building and scaling teams.
- Experience working within a high-performing organization that measures success by results and impact rather than activity — and holds their team to that same standard.
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