# FBS Director Principal Data & Analytics

**Company**: Capgemini
**Location**: São Paulo, São Paulo
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Insurance
**Wikidata**: https://www.wikidata.org/wiki/Q1034621

**Apply**: https://jobs.workable.com/view/eJheQqSxbxXjkZzAYWuAY7/hybrid-fbs-director-principal-data-%26-analytics-in-s%C3%A3o-paulo-at-capgemini?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/fbs-director-principal-data-and-analytics-af85e11c-4fc/

## Description

FBS – Farmer Business Services is part of Farmers Insurance operations, partnering with Capgemini as the Employer of Record. The Director of Finance Data & Analytics, Data Architecture & Technology Enablement, will lead the development and evolution of the Finance D&A data foundation.

Key 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.

Requirements:

- 15+ years of experience in data architecture, data engineering, analytics engineering, business intelligence, data governance, or related disciplines.

- Full English Fluency.

- Significant professional experience within the insurance industry required.

- Strong knowledge of insurance data and business processes, including policy, premium, claims, losses, pricing, actuarial, distribution, and financial data.

- 10+ years of leadership experience managing data, architecture, engineering, analytics technology, or related teams.

Technical & Business Skills:

- 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.

- Datalake experience (creating new data lake projects).

- Extensive experience in data management (ETLs, Data Pipelines).

- Experience with modern cloud data and analytics technologies such as Snowflake, Azure, Power BI, SQL, Python, R, Git, and pipeline orchestration tools.

- Strong understanding of data governance, quality, metadata, lineage, privacy, security, access management, and financial controls.

Benefits:

- Competitive salary and performance-based bonuses.

- Comprehensive benefits package.

- Career development and training opportunities.

- Flexible work arrangements (remote and/or office-based).

- Dynamic and inclusive work culture within a globally renowned group.

- Private Health Insurance.

- Pension Plan.

- Paid Time Off.

- Training & Development.

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## Skills

### Required
- data architecture
- data engineering
- analytics engineering
- business intelligence
- data governance
- English
- insurance data
- Snowflake
- Azure
- Power BI
- SQL
- Python
- R
- Git

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