Allstate
Property Digital Product Manager, Data & Analytics - Remote
USA - OR (Remote)
No sponsorship$91k-$158kDetected 20 hours ago
PythonSQLSnowflakeDatabricksAzureData AnalysisData EngineeringData VisualizationProduct ManagementProduct StrategyAgileStakeholder ManagementForecastingLeadershipCommunicationCollaborationProblem Solving
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odds of building a lasting career here
50Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role65
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties.
- Joining our team isn't just a job - it's an opportunity.
Responsibilities
- Partner with business stakeholders to identify opportunities and prioritize investments.
- Gather, document, and translate business requirements into actionable product features.
- 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.
- Support development of KPIs, scorecards, forecasting models, and operational metrics.
- Lead cross-functional working sessions across business and technology teams.
- Drive adoption and continuous improvement of delivered solutions.
- Work closely with engineers and architects on solution design.
- Support API, cloud, automation, and integration initiatives.
Requirements
- The candidate(s) offered this position will be required to submit to a background investigation.
- When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating.
- Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
Nice to have
- Product Management
- 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.
- Technical & Analytics
- Experience with Power BI, Microsoft Fabric, Azure, Databricks, Snowflake, or similar platforms.
- Strong SQL skills.
Skills
- Analytics, Data Analysis, Data Analytics, Product Management, Product Strategies
- Compensation
- One that takes your skills and pushes them to the next level.
- Allstate generally does not sponsor individuals for employment-based visas for this position.
- For jobs in San Francisco, please click " here " for information regarding the San Francisco Fair Chance Ordinance.
- For jobs in Los Angeles, please click " here " for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
- To view the "EEO Know Your Rights" poster click " here ".
Compensation
- Compensation offered for this role is $90,700 - $158,200 and is based on experience and qualifications.
- This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
Benefits
- Own the vision, strategy, and roadmap for analytics and operational solutions.
Company info
- Job Description We are seeking a fully remote, highly motivated Digital Product Manager who combines strong product management capabilities with deep data and analytics expertise.
- Joining our team means being part of something bigger - a winning team making a meaningful impact.
- And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs.
Visa & Work Authorization
- Allstate generally does not sponsor individuals for employment-based visas for this position
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This listing is sourced directly from Allstate's careers page and normalized into a canonical job model.