Data & Analytics
capgemini
Job Description
- Define, design, and own end-to-end scalable data architectures from concept through production deployment.
- Collaborate with compliance, privacy, risk, information security, operations, and platform teams to ensure all business and regulatory requirements are addressed.
- Develop and implement strategies for data governance, metadata management, master data management, data quality, and data security.
- Provide technical leadership and advocate best practices for data architecture, engineering, and analytics initiatives.
- Establish reusable standards, frameworks, and design patterns across the data ecosystem.
- Lead data analysis and profiling activities, including data quality assessment, transformation rules, and integration requirements.
- Design, document, and maintain conceptual, logical, and physical data models.
- Oversee the complete data lifecycle, ensuring effective design, development, validation, documentation, and continuous improvement.
- Conduct advanced analytics to identify trends, generate actionable insights, and measure business performance.
- Develop impactful dashboards and visualizations that enable informed decision-making.
- Apply statistical techniques and analytical models to solve complex business challenges.
- Collaborate with data engineers, data scientists, and business stakeholders to deploy scalable analytics solutions.
- Drive analytical excellence, ensure solution quality, and lead successful delivery across projects.
- Organize, transform, and analyze large-scale structured and unstructured datasets to unlock business value.
- Define and continuously improve standards for data analysis, reporting, and analytics delivery.=