AI Product Owner
Skills
About This Role
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Capgemini’s Global Insights & Data business line is at the forefront of data, platforms, and analytics, serving a diverse range of industries including financial services, consumer products, manufacturing, and life sciences.
As an AI Lead, you will play a pivotal role in shaping and executing our AI strategy in the Middle East, driving innovation and delivering business value through advanced analytics and AI solutions.
This is a dynamic, hybrid position—you’ll split your time between Capgemini offices, client sites, and remote work (note: fully remote is not possible).
You’ll collaborate with cross-functional teams to design, implement, and scale AI-driven solutions that transform our clients’ businesses.
AI Strategy & Leadership
- Define and execute the AI roadmap in alignment with business objectives.
- Identify high-impact opportunities for AI adoption across multiple business functions.
- Lead and mentor a multidisciplinary team of data scientists, ML engineers, and analysts.
- Drive innovation through research, prototyping, and the adoption of emerging technologies.
Technical Ownership
- Architect and deploy scalable AI/ML models and systems in production environments.
- Oversee the end-to-end model lifecycle: from data collection and exploration to development, deployment, monitoring, and optimization.
- Implement best practices for MLOps, model governance, versioning, and CI/CD.
- Ensure data quality, reliability, and availability for all AI initiatives.
Cross-Functional Collaboration
- Partner with business leaders to translate requirements into impactful AI solutions.
- Work closely with engineering, cloud, and product teams to integrate AI capabilities into products and platforms.
- Communicate complex technical concepts clearly to non-technical stakeholders.
• Risk, Compliance & Responsible AI
- Ensure AI models adhere to standards of fairness, transparency, security, and regulatory compliance.
- Establish guidelines for ethical and responsible AI usage.
Technical Skills
- Proficiency in Python, R, or similar languages
- Expertise in machine learning, deep learning, NLP, LLMs, and generative AI
- Hands-on experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, and LangChain
- Cloud platform experience (Azure, AWS, GCP)
- Familiarity with data engineering pipelines and SQL/NoSQL databases
- Solid understanding of MLOps tools (e.g., Kubeflow, MLflow, Azure ML)
Professional Experience
- Proven track record of building and deploying production-grade AI systems
- Experience leading and mentoring technical teams
Soft Skills
- Strong analytical and problem-solving abilities
- Excellent communication and stakeholder management
- Ability to lead in fast-paced, agile environments
- Strategic thinker with a product-oriented mindset
Preferred Qualifications
- Master’s or PhD in Computer Science, AI, Data Science, or related fields
- Experience with LLM fine-tuning, RAG pipelines, and prompt engineering
- Publications, patents, or conference contributions in AI/ML
- Industry-specific AI experience (e.g., BFSI, healthcare, manufacturing)
- Why Capgemini?
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At Capgemini, you’ll join a diverse collective of innovators, entrepreneurs, and industry experts.
We are committed to building a more sustainable and inclusive future while helping clients leverage technology to transform their businesses.
Here, you’ll gain invaluable experience, expand your skills, and make a real impact—both for our clients and the world.
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Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
We imagine the future of organisations and make it real with AI, technology and people.
With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries.
We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
The Group reported 2025 global revenues of €22.5 billion.
Make it real \| www.capgemini.com
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