Director of Data, Analytics, AI

🕒 Agosto 21

🌽 Illinois, Iowa, +5 estados a mais – Remoto

🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🌾 Nebraska – Remote 🏰 Missouri – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote

⏰ Tempo Integral

🔴 Especialista

📉 Analista de Dados

👻 Score fantasma 22%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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MEM

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1995

🛡️ Seguros

Insurance

A MEM é uma fornecedora de seguros (seguradora) que opera portais online para segurados e agentes, oferecendo serviços de registro e gestão de sinistros. O site da empresa destaca funcionalidades como "Registrar um Sinistro", login para agentes e segurados, programas e subsídios de segurança, além de orientações para os envolvidos, indicando um foco na administração de sinistros, programas de mitigação de riscos e serviços para agentes/segurados.

Descrição

• Own and continuously evolve MEM's enterprise data, analytics, and AI strategy • Partner with Product Management and business leaders to translate strategic objectives into data, analytics, and AI roadmaps • Establish the long-term vision for data platforms, analytics environments, and AI/ML infrastructure • Evaluate emerging AI capabilities and prioritize investments based on business value, readiness, and risk-adjusted returns • Communicate portfolio outcomes, delivery progress, and risk considerations to executives • Lead the AI/ML practice and establish standards for model development, validation, deployment, monitoring, and retirement • Guide evaluation, piloting, and deployment of generative AI and emerging AI technologies • Promote adoption of AI-enabled tools and opportunities • Oversee machine learning model management, monitoring, observability, and lifecycle governance • Direct enterprise data architecture and data platform strategies • Ensure data engineering delivers high-quality, trusted, documented, and scalable data assets • Maintain a unified data ecosystem with technology and operational leaders • Champion usability and accessibility of analytics and data products • Lead data governance, including data quality, lineage, stewardship, access controls, retention, and business glossaries • Oversee AI governance, including model inventories, risk classification, validation, monitoring, explainability, and fairness assessments • Ensure compliance with insurance regulations, AI requirements, and internal governance standards • Partner with Legal, Compliance, Risk, and other stakeholders on operational controls • Manage technical, operational, regulatory, and reputational risks • Partner with underwriting, claims, actuarial, safety and risk services, and other functions to deliver analytics and AI solutions • Drive measurable value through data-informed decision-making and enterprise analytics • Lead, mentor, and develop a multidisciplinary team of product owners, data engineers, data scientists, analytics engineers, and BI developers • Create career pathways, succession plans, and talent strategies • Build a culture of innovation, accountability, collaboration, and continuous learning • Develop future technical leaders through coaching, mentorship, and growth opportunities

🎯 Requisitos

• Bachelor's degree in Computer Science, Data Science, Information Management, or a closely related field required • Equivalent combinations of education and relevant professional experience will be considered • Valid driver's license • Proven track record of successful leadership in data, analytics, and artificial intelligence initiatives • 3+ years of leadership experience, either through formal management responsibilities or significant leadership influence within complex initiatives • Experience developing and executing enterprise data strategies and governance programs preferred • Experience leading cross-functional teams and driving business transformation through data and analytics strongly preferred • Experience operating within a regulated industry environment preferred

🏖️ Benefícios

• Medical, dental, and vision health plans • Fertility benefits • Fully paid preventative care • Adult orthodontia • Annual performance-based bonus • Employer-paid life insurance (3x base salary) • AD&D insurance • Short- and long-term disability • Wellness and recognition program with employer-paid incentives for employees and spouses • Flexible Spending Account and Dependent Care options • Health Savings Account with generous employer contribution • Generous PTO • 11 holidays and 4 early releases • 16 hours volunteer time off • 20 days paid parental leave • Marriage, bereavement, and jury duty leave • Employee Assistance Programs • 401(k) retirement plan with employer match and profit sharing • Adoption assistance • Tuition assistance