Chief Data Officer

This is a fully remote position, open to applicants in France.

📋 Description

• Oversee the entire Data & AI division and collaborate closely with the CTO.

• Organize the Data department and establish the organizational framework and leadership for each segment.

• Develop and implement the AI roadmap, covering LLMs, Agentic AI, yield optimization, internal data agents, and conversational analytics.

• Create a unified set of KPI definitions, formulas, and terminology throughout the organization.

• Manage data governance, ensure GDPR compliance with the DPO, and oversee data retention and minimization.

• Transition team knowledge from verbal practices to documented, sustainable processes.

• Oversee and administer the annual Data & AI budget, determining areas for automation and hiring needs.

• Represent the Data and AI functions to the board, investors, and external collaborators.

• Lead the Heads and Leads of Data Engineering, Data Science, and Data Analytics/BI.

• Validate infrastructure performance for handling extensive ad-request volumes and low-latency real-time inference.

• Ensure the availability of crucial data pipelines for bidding, monetization, and AI inference.

• Manage the data stack, which includes ClickHouse, SQLMesh, Lightdash, Kubernetes on bare-metal infrastructure, and CI/CD.

• Advance the data warehouse, provide internal data APIs with access controls, and ensure the internal data agent queries the warehouse effectively.

• Collaborate with the CTO to co-lead weekly reviews on infrastructure, pipeline, AI, and resource consumption.

• Foster innovation in yield management, floor pricing, throttling, bidding optimization, audience scoring, predictive models, and reinforcement learning.

• Guide and audit mathematical models, maintaining scientific rigor.

• Validate MLOps strategies for auto-tuning, versioning, A/B testing, and advanced experimental designs.

• Organize the Data Science roadmap, objectives, and follow-up processes.

• Convert data and AI-generated insights into strategies for growth and revenue for Sales and CSM teams.

• Manage data contracts, versioning, internal APIs, KPI access-rights policies, and the accuracy of dashboards.

• Scale analytics through automation and serve as a key contact for executive management and investors.

• Report directly to the CEO and influence global strategy and investment decisions.

⛳️ Requirements

• Experience in high-volume environments such as High-Frequency Trading or Adtech.

• Proven track record of scaling and optimizing data and ML infrastructure with strict cost discipline, preferably on bare metal and Kubernetes.

• Capability to own data architecture decisions from start to finish.

• Strong expertise in Machine Learning, from model design to real-time inference.

• Practical experience in building continuous learning pipelines that maintain model accuracy and reliability at scale.

• Advanced AI tools are essential: ability to develop skills, plugins, and artifacts using LLM assistants; Claude, OpenAI, or Gemini equivalents are acceptable.

• Demonstrated ability to audit code, validate data architectures on self-operated infrastructure, and master columnar databases and big data pipelines.

• Master's or Ph.D. in Mathematics, Statistics, or Computer Science.

• Superior expertise in Engineering, AI, and Mathematics compared to the average manager in the field.

• Confirmed experience as a CDO or VP of Data overseeing multidisciplinary Engineering, Science, and Analytics teams.

• Ability to write POCs, engage in pair programming, and directly tackle technical challenges.

• Direct and transparent communication that aligns with Sparteo's culture.

• Experience in change management with senior experts.

• Ability to integrate high-level strategy with extensive technical knowledge.

• English-speaking work environment and English as the primary language across teams and countries.

• Recruitment process entails an analytical test, CTO case study, interviews, and reference checks.

🏝️ Benefits

• Remote-first work model allowing flexibility from anywhere in France.

• Occasional travel to Paris and Lille offices for onboarding and key strategic meetings.

• Access to Claude for every team member.

• Regular social events and company gatherings.

• Support for career development, including training programs, career check-ins with HR, internal mobility opportunities, and quarterly or semi-annual performance feedback sessions.

• Comprehensive health insurance coverage.

• English-speaking work environment.

• Commitment to equal opportunities and an inclusive workplace.