AVP, Product Owner, IT Data

Allied World Assurance Company•New York, NY

21d•$170,000 - $175,000•Hybrid

About The Position

Underwriting is the heartbeat of P&C insurance — and at Allied World, we're reimagining it from the ground up with Data + AI at the core. This role is the single-threaded leader accountable for translating bold AI ambition into shipped capabilities that transform our end-to-end underwriting lifecycle — from submission triage and risk selection to pricing, portfolio steering, and bind. You won't be managing a backlog; you'll be shaping the future of how Allied World underwrites risk.

Requirements

7+ years as a Product Owner / Product Manager, with 3+ years shipping Data, Analytics, or AI/ML products in a regulated enterprise.
Deep P&C Insurance domain expertise — fluent in underwriting, rate change, loss ratio, submissions, portfolio mix, and authority statements.
Proven AI delivery track record — GenAI, ML models, NLP, or agentic AI moved from POC to production at scale.
Executive-grade communication — able to brief a CIO in three slides and write a user story engineers love.
Agile mastery — backlog ruthlessness, sprint discipline, and outcome obsession.
Technical fluency: SQL, Python, modern data stacks (Databricks, Azure, AWS), BI tools (Power BI), and LLM/AI platforms.

Nice To Haves

Experience modernizing underwriting workbenches, policy admin systems, or submission platforms.
Certified SAFe / CSPO / Pragmatic PM.
Exposure to Guidewire, Duck Creek, or comparable insurance platforms.

Responsibilities

Define and drive the product vision, roadmap, and OKRs for our Data + AI underwriting capabilities — including GenAI copilots, agentic workflows, predictive models, and the AIDA insights ecosystem (Broker 360, Client 360, Underwriter Analytics, Claims Analytics).
Partner with Underwriting, Actuarial, Claims, and Distribution leaders to identify and ship the highest-value AI use cases — submission intake automation, intelligent risk scoring, rate adequacy intelligence, exposure analytics, and broker engagement.
Lead the full product lifecycle — discovery, prioritization, user stories, sprint execution, UAT, launch, and adoption — with engineering, data science, and design pods.
Be the voice of the underwriter to engineering and the voice of the platform to the C-suite. Run monthly Data + AI product reviews with senior stakeholders.
Champion model governance, explainability, data quality, and compliance — partnering with Information Security, Enterprise Architecture, and Legal.
Define adoption, business value, and ROI metrics — and relentlessly track them.