SummaryMapfre is seeking a Responsible AI Governance Lead, who combines hands-on AI expertise with the judgment to enable responsible innovation in insurance, to help shape how ML, GenAI, and Agentic AI solutions are designed, evaluated, and deployed responsibly. Working alongside data scientists, AI engineers, and business teams throughout the AI lifecycle, you will apply hands-on technical expertise to challenge solution designs, test model and agent behavior, and embed practical controls.
This role will help lead the operation and continuous improvement of Mapfre's AIS Governance program, enabling responsible adoption of AI across the organization. You will maintain the enterprise AI inventory, lead risk assessments, coordinate approvals, and oversee ongoing risks across AI tools, platforms, and use cases. Partnering with Legal, Compliance, Information Security, and Risk, you will ensure governance decisions are supported by technical evidence and maintain regulatory readiness.
As a key leader in Mapfre's Data & AI Governance organization, you will help shape the organization's AI governance strategy while enabling innovation through practical, scalable governance practices that balance opportunity, risk, compliance, and business value.
Strong knowledge of insurance operations and regulatory expectations is required.What You'll Do- AI GovernanceProgram: Lead the operation and continuous improvement of Mapfre's AIS Governance Program, including its operating model, accountability structures, decision forums, standards, and alignment with enterprise strategy and risk appetite.
- AI Inventory & Lifecycle Governance: Maintain and improve an enterprise AI inventory covering tools, platforms, use cases, data products, models, systems, vendors and agents, during their lifecycle. Own requirements for supporting governance workflows and evidence repositories, ensuring appropriate documentation, ownership, approvals, traceability, and risk assessments.
- Responsible AI Policies & Controls: Develop and maintain Responsible AI policies, standards, procedures, assessment frameworks, and control requirements covering fairness, explainability, transparency, human oversight, privacy, security, robustness, and accountability, in partnership with the relevant control functions.
- AI Risk, Approvals and Regulatory readiness: Partner with Risk, Compliance, Legal, Privacy, Security, Audit, and Architecture teams to assess and coordinate governance reviews, risks and approval decisions for AI tools, platforms and use cases; define permitted uses and required controls; verify mitigation evidence; and track approval conditions. . Coordinate documentation and technical explanations for DOI inquiries and examinations with Legal and Compliance.
- AI Technical Assurance & Delivery Partnership: Collaborate with data, AI, architecture, security, and delivery teams to review AI solution design, development, implementation and operation to shape evaluation approached and embed Responsible AI controls. Challenge technical evidence, reproduce key metrics, and conduct targeted testing where needed, including assessment of agent permissions, autonomy, and human oversight. Define monitoring requirements with model and platform owners, review results and incidents, and track remediation, reassessment, and escalation of material risks.
- Education, Awareness & Enablement: Build Responsible AI knowledge through practical and targeted guidance, training, communications, reusable assessment templates/tools , and governance forums, while serving as a trusted advisor to business and technology stakeholders.
- Innovation & Continuous Improvement: Evaluate emerging AI governance frameworks, technologies, standards, and regulations; recommend improvements; and support Mapfre's long-term AI maturity and governance roadmap.
What You'll BringRequired- Bachelor's degree in Computer Science, Information Systems, Mathematics, Data Science, Engineering, Analytics, or a related field.
- 12+ years of experience, including substantial hands-on Data Science or AI experience and 4+ years of experience in Data & AI Governance, model validation, risk management or technical AI assurance.
- Strong understanding and hands-on experience in Machine Learning, Generative AI, AI Agents, LLMs, model lifecycle management, and AI delivery practices. Proficiency in Python and SQL, with the ability to reproduce and interpret model performance, fairness, and explainability assessments and conduct targeted technical testing.
- Ability to review and constructively challenge AI architecture, MLOps, cloud platforms, APIs, security, and data management, including agent tool use, retrieval, identity, permissions, autonomy, and human oversight.
- Experience developing governance frameworks, policies, standards, operating models, or enterprise programs, including AI inventories, risk assessments, approval workflows, control evidence, and remediation tracking.
- Experience working with cross-functional teams including Business, Technology, Security, Risk, Compliance, Legal, and Data Science/ AI organizations.
- Ability to translate regulatory and policy requirements into practical AI controls, assessment criteria, and defensible documentation, working with Legal and Compliance.
- Strong project management and prioritization skills, with demonstrated ability to coordinate cross-functional reviews and drive decisions, approval conditions, and remediation to completion.
- Strong communication, stakeholder management, facilitation, and influence skills.
- Experience translating technical concepts into practical business guidance and governance requirements.
- Strong understanding of data governance, privacy, security, and risk management principles.
- Ability to engage technical teams in discussions involving AI architecture, MLOps, cloud platforms, APIs, security, and data management.
- Experience with Microsoft Copilot, Copilot Studio, Azure AI Services, OpenAI, AWS AI, SageMaker, Databricks, Snowflake AI, or similar platforms.
- Property & Casualty insurance industry knowledge.
Preferred- Experience establishing or operating an AI Governance, Responsible AI, Model Risk Management, or AI Compliance program.
- Experience supporting AI inventories, AI use case assessments, model governance, or AI risk management processes.
- Familiarity with Responsible AI frameworks such as NIST AI RMF, ISO 42001, OECD AI Principles, or similar industry frameworks.
- Experience working with AI lifecycle platforms, model registries, governance tools, or AI observability solutions.
- Familiarity with privacy, security, and regulatory requirements impacting AI solutions.
- Experience supporting AI governance committees, review boards, or executive governance forums.
- Professional certifications in AI, Data Governance, Risk Management, Security, or Project Management.
Salary Range: $121,100- $182,000
Benefits Highlights:
At Mapfre, we invest in our employees' well-being by offering a comprehensive benefits package, including:
• Paid Time Off (PTO): A flexible PTO program that combines vacation, personal, volunteer and sick time into one convenient bank of paid time off.• 401(k) & Profit Sharing: Eligible employees may participate in Mapfre's 401(k) plan that includes company matching contributions up to certain amounts under the terms of the plan.
• Medical, Dental and Vision Coverage: Choice of comprehensive medical, dental and vision insurance coverage under group plans offered by the company.
• Other Benefits Include: STD, LTD, Life Insurance, FSA, HSA and various wellness programs
Benefits provided are subject to the terms and conditions of the applicable benefit plan or policy. The Company reserves the right to alter, amend, or terminate benefits in its sole discretion. To learn more about our benefit offerings please visit: https://mapfre.gobenefits.net/
