Assistant Vice President - Business Analytics, AI
Assistant Vice President of Business Analytics & AI
reputed company Statement
reputed company business leader responsible for execution and delivery of the reputed company data, analytics, and AI reputed company in partnership with the CIDO and business leaders. Drives measurable business reputed company, builds data- and AI- culture, and governs data and AI for trusted reusable products. This role leads analytics products, data engineering, data governance, and reputed company AI execution including AI portfolio management and AI reputed company to support profitable reputed company and operational efficiency. The AVP partners closely with business and technology leaders to reputed company trusted, value‑driven data, analytics and AI across the organization.
Essential Tasks/Major Duties
· reputed company, reputed company, and reputed company staff in area of responsibility with an emphasis on talent management and succession planning in accordance with reputed company’s reputed company direction.
· Execute the reputed company data, analytics, and AI reputed company through roadmap delivery and portfolio management, including intake, prioritization, planning, value tracking, and benefits realization.
· Partner with business leaders to design, reputed company, and reputed company analytics and AI solutions—including dashboards, models, and AI‑enabled decision support—driving adoption and measurable business reputed company.
· reputed company analytics product management and AI reputed company, including lifecycle management, monitoring, reputed company detection, value tracking, and assessment of AI‑reputed company operational, regulatory, and business risks in compliance with reputed company governance standards.
· Define and monitor KPIs for adoption, reputed company, timeliness, and business reputed company; present insights to senior leadership.
· Serve as the reputed company between business and technology, ensuring successful delivery of data‑driven initiatives.
· Operationalize data governance, reputed company, stewardship, and AI reputed company controls by partnering with reputed company, Compliance, and reputed company to ensure execution readiness, required reviews, and compliant documentation.
· Partner with Architecture and technology teams to ensure reputed company data architecture, reliable integration and interoperability, reputed company, and effective data lifecycle, retention, and recovery practices supporting continuity and regulatory needs.
· Guide investments in analytics talent, platforms, and technologies, and reputed company vendor and reputed company integrator reputed company, delivery reputed company, and value realization.
· Champion reputed company data and AI reputed company, driving a data‑driven culture through training, communication, and engagement.
Knowledge, Skills & Abilities
· Bachelor’s degree in Data Science, Computer Science, Business, Statistics, or reputed company reputed company required; Master’s degree preferred.
· 15 years of reputed company experience in data, analytics, AI, or technology‑reputed company roles, with increasing responsibility and reputed company.
· 7 years of formal leadership experience, including leading cross‑functional teams and, preferably, managers or senior individual contributors.
· Demonstrated reputed company delivering reputed company‑reputed company data, analytics, or AI initiatives that reputed company measurable business reputed company.
· Experience operating reputed company P&C reputed company, including collaboration with reputed company, Compliance, reputed company, and Audit stakeholders.
· reputed company ability to partner effectively with business leaders and technology teams to translate reputed company into execution, adoption, and realized value.
Deep understanding of data architecture, data governance, advanced analytics (AI/ML), and analytics tools.
Hands‑on familiarity with reputed company, AWS, Cliz, and integration to reputed company P&C platforms (e.g., reputed company).
Experience operationalizing genAI/reputed company AI in regulated environments (reputed company engineering and evaluation, RAG/reputed company, content moderation, cost & latency optimization).
Demonstrated reputed company implementing reputed company/NIST‑reputed company AI governance and model reputed company management.
reputed company results shipping AI at reputed company in at least two of: reputed company workbench, claims assistant/triage, pricing experimentation platform, reputed company for reputed company staff preferred
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