Technical Project Manager - Data Cloud

At Group IT, we believe that difference drives change. Our vision is bold, and our mission is clear: to empower the business through technology that enables efficiency, profitability, and sustainable growth. We deliver enterprise wide solutions by harmonizing global standards and integrating all business units into a unified IT services model.

As a strategic partner to the business, Group IT translates complex needs into actionable initiatives, advocating for our stakeholders across the global technological landscape. We are currently driving a series of transformative rollouts and initiatives that enhance security, streamline operations, and elevate digital experiences for every Capgemini employee around the globe.

Our ambition is to build a connected, intelligent, and inclusive IT enterprise—accessible to anyone, anytime, anywhere. This is your opportunity to lead change, shape the future, and build technology that matters.

• Experience delivering cloud based data platforms such as data lakes, data warehouses, and lakehouse or medallion architectures
• Strong hands on understanding of data engineering concepts, including ingestion patterns, transformations, orchestration, metadata, and observability
• Familiarity with major cloud platforms (AWS, Azure, or GCP), including environment setup, IAM, networking, and cost considerations
• Experience working with modern development practices such as CI/CD, Infrastructure as Code, and DevOps
• Proven track record leading complex technical projects with multiple teams and dependencies

As Technical Project Manager for Data Cloud, you are accountable for the end to end planning, coordination, and execution of Data Cloud initiatives. You will ensure technical delivery aligns with architectural intent, engineering best practices, and enterprise standards.

• Drive the end to end delivery of Data Cloud initiatives, including ingestion pipelines, transformation layers, and platform services
• Translate architectural designs and technical roadmaps into executable delivery plans, milestones, and prioritized engineering backlogs
• Coordinate development activities across data engineers, platform engineers, DevOps, and analytics teams
• Partner closely with Data Architects and Lead Engineers to ensure solutions are scalable, secure, and aligned with target architectures
• Govern the full development lifecycle, from design readiness through deployment and production stabilization
• Manage release planning across teams, ensuring quality gates, production readiness, and operational handover are met
• Identify, manage, and mitigate technical risks related to performance, scalability, data quality, security, and cloud cost
• Track and report technical delivery metrics such as velocity, burn down, blockers, and defect trends to provide clear delivery forecasts
• Facilitate alignment and decision making across engineering, architecture, security, governance, and business stakeholders