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Capgemini

Global consulting, technology services, outsourcing

Director Principal Data & Analytics

Engineering LeadershipPosted on Nov 9
Full-timeSão Paulo, State of São Paulo, Brazil

About the Job

Requirements

  • At least 15 years of experience in data architecture, data engineering, analytics engineering, business intelligence, data governance, or related disciplines.
  • Full fluency in English.
  • Significant professional experience within the insurance industry.
  • Strong knowledge of insurance data and business processes, including policy, premium, claims, losses, pricing, actuarial, distribution, and financial data.
  • At least 10 years of leadership experience managing data, architecture, engineering, analytics technology, or related teams.
  • Strong knowledge of modern data architecture, data engineering, integration, transformation, modeling, and analytical consumption patterns.
  • Strong understanding of insurance financial and operational data, including relationships across policies, premiums, exposures, claims, losses, expenses, profitability, and financial reporting.
  • Experience creating new data lake projects.
  • Extensive experience in data management, including extract, transform, and load processes and data pipelines.
  • Experience with Azure, Power BI, SQL, Python, Git, and pipeline orchestration tools; programming experience is required.
  • Strong understanding of data governance, quality, metadata, lineage, privacy, security, access management, and financial controls.

Responsibilities

  • Define and execute the target-state data architecture and technology roadmap for Finance D&A.
  • Lead the design and delivery of scalable data pipelines, curated data products, dimensional models, and semantic layers.
  • Establish consistent definitions, business rules, hierarchies, and data models for critical Finance and insurance metrics.
  • Establish Finance data governance standards covering data ownership, quality, lineage, metadata, access, controls, and appropriate use.
  • Implement development and engineering standards for documentation, testing, deployment, reconciliation, monitoring, and production support.
  • Improve integration of quotes, policy, premium, claims, and financial data to enable trusted Finance analytics.
  • Reduce reliance on manual data preparation, fragmented reporting solutions, and duplicated business logic.
  • Partner with Enterprise Data and Technology teams to improve Finance access to enterprise data sources, platforms, and capabilities.
  • Ensure solutions comply with enterprise architecture, security, privacy, governance, and financial control requirements.
  • Lead complex, cross-functional data initiatives from architecture and planning through implementation and adoption.
  • Build and lead a high-performing team across data architecture, engineering, modeling, governance, and technology enablement.
  • Communicate architecture strategy, priorities, delivery progress, risks, and trade-offs to senior and executive leadership.
  • Transform data and prepare it for effective use.

Desired Qualifications

  • Experience with Snowflake.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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