AI Finance Product Manager - Data-Driven Growth

Allstate

United States

Hybrid

USD 140,000 - 170,000

Full time

4 days ago
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Benefits offered by this job

Laptop provided
Connectivity reimbursement for remote"

Job summary

Allstate is seeking a forward-thinking Digital Product Manager to lead AI-powered finance technology products and translate complex data into actionable insights. You will define and deliver next-generation capabilities across predictive modelling, trend analysis, and anomaly detection within finance, partnering with Finance, Accounting, Product and Technology to drive measurable business value.

The role requires strong domain knowledge in finance and data, with a track record of transforming

Qualifications

  • Minimum 5 years in digital product management, leading platform or data products.
  • Experience delivering data/cloud/AI-enabled transformations that improve outcomes.
  • Ability to work with senior stakeholders to prioritize backlogs and deliver outcomes.
  • Define success metrics and use data and feedback to drive adoption.

Responsibilities

  • Define and own product vision, roadmap, and success metrics for AI-enabled finance products.
  • Partner with Finance, Accounting, Product and Technology to translate problems into prioritised outcomes and delivery plans.
  • Lead cross-functional delivery using modern data, cloud, analytics, and AI to create measurable business value.
  • Monitor performance with metrics and feedback to improve adoption and time-to-insight.

Skills

AI product management
Data analytics
Finance domain knowledge
Cross-functional collaboration
Roadmapping

Job description

Allstate is seeking a forward-thinking Digital Product Manager to lead AI-powered finance technology products and translate complex data into actionable insights. You will define and deliver next-generation capabilities across predictive modelling, trend analysis, and anomaly detection within finance, partnering with Finance, Accounting, Product and Technology to drive measurable business value.

The role requires strong domain knowledge in finance and data, with a track record of transforming

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