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AVP Data Insights & Analytics

Job in New York, New York County, New York, 10261, USA
Listing for: CNA Insurance
Full Time position
Listed on 2026-07-01
Job specializations:
  • Business
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 152000 - 242000 USD Yearly USD 152000.00 242000.00 YEAR
Job Description & How to Apply Below
Location: New York

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You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

The AVP Data Insights & Analytics role is an officer position that plays a leading role in driving accountability for the execution of CNA’s most critical underwriting strategies. This role will lead a team that drives organizational change through the consistent adoption of portfolio management processes and tools across each of CNA’s relevant business area globally. The position will be accountable for the ultimate outcomes produced by those processes – leading the team that creates the data‑driven tools and executes the pre and post deployment change management to embed these core processes into how the organization operates day‑to‑day in a way that is consistent with CNA’s global underwriting committee framework.

They will work to iteratively enhance these processes with a variety of business and technical leaders to ensure each component of all processes is optimally achieving the desired outcomes. Additionally, they will transition these processes to be forward‑looking and real‑time, leveraging CNA’s cloud data investments and cutting‑edge generative AI capabilities to accomplish these objectives in a way never before possible.

Job Description

Essential Duties & Responsibilities

  • Evolve CNA’s core portfolio management processes to leverage real‑time and granular information through a combination of generative AI capabilities and traditional cloud‑based data analytics.
  • Collaborate with underwriting leadership to ensure alignment between accountability and targets at various levels in the organization. Serve as a trusted advisor in determining the best way to measure and understand outcomes through the combination of traditional data‑driven KPIs and granular generative AI produced insights.
  • Serve as a business owner to drive consistent definition of relevant key KPIs.
  • Ensure strong cohesion between portfolio targets, core systems, supporting tools, and underwriting frameworks such as guidebooks to drive cohesive execution.
  • Produce data‑driven scenario and forward‑looking projection tools that can be leveraged to optimize portfolio composition at all levels in the organization.
  • Drive accelerated generative AI usage within the team to substantially enhance efficiency and effectiveness.
  • Serve as a trusted advisor on how to best enforce and monitor accountability for key portfolio outcomes.
  • Drive prioritization of core cloud‑based data, analytics, and AI features to further CNA’s capabilities in this area using modern value‑stream based agile product frameworks.
  • Lead staff with accountability and an emphasis on excellence in execution, talent management, and succession planning in accordance with corporate strategic direction.
  • May perform additional duties as assigned.

Reporting Relationship

Reports to SVP & Actuary, Global Portfolio Management and UW Analytics

Skills, Knowledge & Abilities
  • Proven influential leadership, communication, interpersonal, and presentation skills to effectively influence and partner with senior executive customers and stakeholders.
  • Ability to effectively collaborate with all levels of external and/or internal business partners within scope of responsibility, team and/or matrix environment.
  • Core understanding of business process engineering principles including the behavioral and organizational psychology principles that produce optimal business outcomes.
  • Demonstrated propensity for continuous learning and entrepreneurial success through the use of generative AI and other advanced technology to drive toward business outcomes.
  • Excellent technical and data analysis skills.
  • Strong understanding of core commercial insurance concepts and key steps in the underwriting process across various commercial property & casualty lines of business.
  • Core understanding of what is required to drive large‑scale organizational change management initiatives on a…
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