Senior Director, Finance Data & Analytics

Capgemini

Senior Director in finance data and analytics role supporting strategic Planning and enterprise decision-making. Joining a diverse team to enhance operational insights via advanced modeling and analytics.

Posted 6/22/2026full-timeRemote • 🇲🇽 MexicoSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Directs the development and implementation of advanced modeling techniques to optimize finance strategies. Ensures modeling efforts contribute to profitable revenue growth.
Leads technical analysis of market intelligence, predictive modelling, and pricing assumptions. Establishes analytics philosophies that align with financial objectives and measure progress toward targets.
Adjusts finance strategies based on performance metrics and market demands.
Applies knowledge of key business drivers and the factors that maximize performance to provide insights for annual financial plans including rate activity, policies in force, revenue growth, loss trends, and other key components.
Oversees financial projections and scenario analyses to support strategic planning and risk assessment. Uses predictive analytics to generate accurate forecasts that align with business objectives.
Develops and implements customer behavior segmentation and targeting strategies using predictive modeling. Drives marketing decisions that optimize customer selection and revenue.
Guides product development by leveraging advanced modeling and actuarial analysis to inform product innovation, market alignment, and revenue growth potential.
Establishes data-driven strategies to enhance customer retention and loyalty.
Collaborates with cross-functional teams to improve customer experience and promote long-term engagement.
Analyzes performance metrics for direct marketing and media investments while providing insights to balance profitability, customer engagement, and competitive positioning.
Builds team capabilities in data analytics, predictive modeling, and actuarial analysis to drive continuous improvement.

Requirements

What you’ll need

9+ years of experience required in a similar role
Full English Fluency
BS: Actuarial science, data science, mathematics, statistics or related field. Masters: Desirable
Insurance & Pricing Experience (MUST)
**Technical & Business Skills**
Programming Language: Python, SQL, R, Data Visualization Tools
Predictive Analysis, Modeling, Analytical Skills
Hands On – Leverage Actions, Proactive, innovation-driven mindset
Lead in ambiguity
Strong verbal and written communication and listening skills
Translate technical to nontechnical audience
Possesses strong technical aptitude
AI knowledge, Automation, LLMs, Copilot and Claude (PLUS)
**Fellowship designation from a recognized actuarial organization is required, such as FCAS or an equivalent local credential.**

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

PythonSQLRPredictive AnalysisModelingData Visualization ToolsAnalytical SkillsActuarial AnalysisFinancial ProjectionsScenario Analyses

Soft Skills

Strong verbal communicationStrong written communicationListening skillsProactive mindsetInnovation-driven mindsetAbility to lead in ambiguityAbility to translate technical to nontechnical audienceCollaborationCustomer engagementContinuous improvement

Certifications

Fellowship designation (FCAS or equivalent)