Chief Data Officer

Job not on LinkedIn

🔥 20 hours ago

🇫🇷 France – Remote

⏰ Full Time

🔴 Lead

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SPARTEO

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

🤖 Artificial Intelligence

Marketing • Advertising Technology • Artificial Intelligence

SPARTEO is a company specializing in advanced advertising technology solutions for publishers. They offer a comprehensive suite of data-driven advertising technologies powered by artificial intelligence, enabling publishers to enhance their business value. SPARTEO's offerings include solutions for display monetization, business intelligence, consent management platforms, and innovative audio and video technologies. By leveraging first-party data, they provide insights and tools that help publishers make informed decisions and optimize efficiency through supply path optimization. SPARTEO aims to maximize publisher revenue while aligning their success with that of their clients.

📋 Description

• Lead the entire Data & AI function and work closely with the CTO • Structure the Data department and define organizational building blocks and leadership for each pillar • Define and execute the AI roadmap, including LLMs, Agentic AI, yield optimization, internal data agents, and conversational analytics • Establish one shared set of KPI definitions, formulas, and naming across the group • Own data governance, GDPR compliance with the DPO, data retention, and data minimization • Move team knowledge from oral practices to documented, durable processes • Own and manage the annual Data & AI budget, deciding where to automate and where to hire • Represent Data and AI to the board, investors, and external partners • Lead Heads and Leads across Data Engineering, Data Science, and Data Analytics/BI • Validate high-performance infrastructure for massive ad-request volumes and low-latency real-time inference • Ensure critical bidding, monetization, and AI inference data pipelines are available • Own the data stack, including ClickHouse, SQLMesh, Lightdash, Kubernetes on bare-metal infrastructure, and CI/CD • Evolve the data warehouse, expose internal data APIs with access controls, and ensure the internal data agent queries the warehouse • Co-lead weekly infrastructure, pipeline, AI, and resource-consumption reviews with the CTO • Drive innovation in yield management, floor pricing, throttling, bidding optimization, audience scoring, predictive models, and reinforcement learning • Guide and audit mathematical models and maintain scientific standards • Validate MLOps strategies for auto-tuning, versioning, A/B testing, and advanced experimentation designs • Structure the Data Science roadmap, objectives, and follow-up • Transform data and AI-generated insights into growth and revenue strategies for Sales and CSM teams • Own data contracts, versioning, internal APIs, KPI access-rights policies, and dashboard accuracy • Scale analytics through automation and act as a point of contact for executive management and investors • Report directly to the CEO and influence global strategy and investment decisions

🎯 Requirements

• Experience in very high-volume environments such as High-Frequency Trading or Adtech • Personally scaled and optimized data and ML infrastructure under tight cost discipline, ideally on bare metal and Kubernetes • Ability to own data architecture decisions end to end • Strong Machine Learning expertise from model design through real-time inference • Hands-on experience building continuous learning pipelines that keep models accurate and reliable at scale • Advanced AI tooling is mandatory: ability to build skills, plugins, and artifacts with LLM assistants; Claude, OpenAI, or Gemini equivalents accepted • Proven 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 • Engineering, AI, and mathematics expertise much higher than the average manager in the sector • Confirmed experience as a CDO or VP Data managing multidisciplinary Engineering, Science, and Analytics teams • Ability to write POCs, pair-program, and work directly on technical problems • Direct, transparent communication and alignment with Sparteo's culture • Change management experience with senior experts • Ability to combine high-level strategy with deep technical knowledge • English work environment and English as the working language across teams and countries • Recruitment process includes an analytical test, CTO case study, interviews, and reference checks

🏖️ Benefits

• Remote-first work from anywhere in France • Occasional trips to Paris and Lille offices for onboarding and key strategic meetings • Claude made available to every team member • Regular social gatherings and company events • Career development support, including training programs, career check-ins with HR, internal mobility opportunities, and quarterly or semi-annual performance feedback sessions • Comprehensive health insurance plan • English work environment • Equal opportunities and inclusive work environment