Remote Digital Product Manager - Analytics & Data

allstate; Oregon (WI); Remote; USD 91,000 - 158,000; Full time

Job summary

Allstate is seeking a fully remote Digital Product Manager who blends product management with deep data and analytics to deliver scalable analytics and workflow solutions. You will partner with business leaders, operations teams, data engineers, analysts, and technology partners to improve operational performance and customer outcomes.

The ideal candidate leads stakeholder discussions, translates business needs into product requirements, defines roadmaps, analyzes data, and works with

Qualifications

• 5+ years of product management, business analysis, consulting, or related experience.
• Experience managing a product backlog and roadmap.
• Strong stakeholder management and executive communication skills.
• Experience with Agile methodologies.

Responsibilities

• Own the vision, strategy, and roadmap for analytics and operational solutions.
• Partner with business stakeholders to identify opportunities and prioritize investments.
• Gather, document, and translate business requirements into actionable product features.
• Define success metrics and measure product outcomes.
• Lead agile planning, backlog management, and prioritization activities.
• Drive development of reporting, dashboards, and self-service analytics capabilities.
• Partner with data engineering teams on data modeling, architecture, and integration efforts.
• Present recommendations and product updates to leadership.
• Drive adoption and continuous improvement of delivered solutions.

Skills

Product management

Data analytics

Stakeholder management

Agile methodologies

Cross-functional collaboration

Tools

Power BI

Microsoft Fabric

Azure

Databricks

Snowflake

APIs

Python

Job description

Allstate is seeking a fully remote Digital Product Manager who blends product management with deep data and analytics to deliver scalable analytics and workflow solutions. You will partner with business leaders, operations teams, data engineers, analysts, and technology partners to improve operational performance and customer outcomes.

The ideal candidate leads stakeholder discussions, translates business needs into product requirements, defines roadmaps, analyzes data, and works with