Director of Data, Analytics, AI

🔥 11 minutes ago

🌽 Illinois, Iowa, +5 more states – Remote

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

⏰ Full Time

🔴 Lead

📉 Data Analyst

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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MEM

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1995

🛡️ Insurance

Insurance

MEM is an insurance provider (insurer) that operates online portals for policyholders and agents and offers claims filing and management services. The company’s site references features such as “File a Claim,” agent and policyholder logins, programs and safety grants, and guidance for injured parties, indicating a focus on claims administration, risk mitigation programs, and agent/policyholder services.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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