Capgemini
Enterprise • Artificial Intelligence • Cybersecurity
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
FBS Data and Analytics Leader
Job not on LinkedIn
June 6
Capgemini
Enterprise • Artificial Intelligence • Cybersecurity
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
📋 Description
• Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C). • They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. • Finally, our Client is part of one the largest Insurance Groups in the world. • We are seeking a Data & Analytics Leader to play a key role in developing and guiding our data engineering and analytics enablement initiatives. • This is a hybrid technical leadership role where you will serve as both a hands-on contributor and team mentor, leading a small group of data engineers and working closely with stakeholders across business, R&D, and data science. • You will be responsible for building and delivering data pipelines, business data products, and helping shape our analytics engineering framework. • The ideal candidate is someone who enjoys solving complex data challenges, guiding teams, and enabling smarter business decisions through scalable data solutions. • Lead and mentor a small team of data engineers working on pipeline development and data product delivery. • Serve as a technical expert in building scalable data pipelines and business-facing data solutions. • Act as a bridge between business and technical teams, gathering requirements and translating them into technical deliverables. • Collaborate with data science and R&D teams to support model deployment and future MLOps tooling. • Help develop and standardize our analytics engineering practices and frameworks. • Contribute to the evaluation and selection of new tools and technologies to support data platform evolution. • Ensure consistent, clean, and reliable data is delivered to stakeholders and downstream systems.
🎯 Requirements
• 5–7+ years of experience in data engineering, analytics, or a related field. • Experience leading or mentoring technical teams in a data-focused environment. • Strong SQL and data modeling skills; experience with modern data stack tools (e.g., DBT, Snowflake, Airflow). • Hands-on experience building pipelines and managing data products at scale. • Proven ability to translate business problems into technical solutions. • Excellent interpersonal and communication skills; comfortable working with technical and non-technical teams. • Familiarity with MLOps or working alongside data science teams is a plus. • Data Governance • ML Ops & Model Deployments • Data Engineering • Reporting & Visualization • Business Requirement Development • Snowflake • DBT • AWS • GIT
🏖️ Benefits
• Competitive salary and performance-based bonuses • Comprehensive benefits package • Home Office model • Career development and training opportunities • Flexible work arrangements (remote and/or office-based) • Dynamic and inclusive work culture within a globally known group • Private Health Insurance • Pension Plan • Paid Time Off • Training & Development • *Note: Benefits differ based on employee level
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