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AVP, Business Analytics & AI; REMOTE

Remote / Online - Candidates ideally in
Farmington Hills, Oakland County, Michigan, USA
Listing for: Amerisure
Remote/Work from Home position
Listed on 2026-10-02
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, AI Engineer (Applied/Software), Business Intelligence
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Position: AVP, Business Analytics & AI (REMOTE)

Amerisure creates exceptional value for its partners, policyholders, and employees. As a property and casualty insurance company, Amerisure’s promise to our partner agencies and policyholders begins with a comprehensive line of insurance products designed to protect businesses, as well as the health and safety of every employee. With an A.M. Best “A” (Excellent) rating, Amerisure serves mid-sized commercial enterprises focused in construction, manufacturing and healthcare.

Ranked as one of the top 100 Property & Casualty companies in the United States, we proudly manage nearly $1 Billion of Direct Written Premium and maintain $1.21 billion in surplus.

Amerisure is currently recruiting for an AVP, Business Analytics & AI that can sit remotely. We're looking for a visionary analytics leader to drive strategic insights and business performance.

The ideal candidate brings expertise in data analytics, stakeholder leadership, and business strategy, with a proven ability to translate data into impactful decisions that fuel organizational success.

The ideal candidate will also possess the following skill set. Summary Statement Enterprise business leader responsible for execution and delivery of the enterprise data, analytics, and AI strategy in partnership with the CIDO and business leaders. Drives measurable business outcomes, builds data- and AI- culture, and governs data and AI for trusted reusable products. This role leads analytics products, data engineering, data governance, and enterprise AI execution including AI portfolio management and AI Operations to support profitable growth and operational efficiency.

The AVP partners closely with business and technology leaders to embed trusted, value‑driven data, analytics and AI across the organization.

Essential Tasks/Major Duties
  • Lead, direct, and develop staff in area of responsibility with an emphasis on talent management and succession planning in accordance with the company’s strategic direction.
  • Execute the enterprise data, analytics, and AI strategy through roadmap delivery and portfolio management, including intake, prioritization, planning, value tracking, and benefits realization.
  • Partner with business leaders to design, deliver, and embed analytics and AI solutions—including dashboards, models, and AI‑enabled decision support—driving adoption and measurable business outcomes.
  • Lead analytics product management and AI factory, including lifecycle management, monitoring, drift detection, value tracking, and assessment of AI‑related operational, regulatory, and business risks in compliance with enterprise governance standards.
  • Define and monitor KPIs for adoption, quality, timeliness, and business impact; present insights to senior leadership.
  • Serve as the bridge between business and technology, ensuring successful delivery of data‑driven initiatives.
  • Operationalize data governance, privacy, stewardship, and AI risk controls by partnering with Legal, Compliance, and Risk to ensure execution readiness, required reviews, and compliant documentation.
  • Partner with Architecture and technology teams to ensure scalable data architecture, reliable integration and interoperability, security, and effective data lifecycle, retention, and recovery practices supporting continuity and regulatory needs.
  • Guide investments in analytics talent, platforms, and technologies, and oversee vendor and system integrator performance, delivery outcomes, and value realization.
  • Champion enterprise data and AI fluency, driving a data‑driven culture through training, communication, and engagement.
Knowledge, Skills & Abilities
  • Bachelor’s degree in Data Science, Computer Science, Business, Statistics, or related field required;
    Master’s degree preferred.
  • 15 years of progressive…
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