Remote Data & Analytics Leader

Allstate; United States; Remote; USD 91,000 - 154,000; Full time

Benefits offered by this job

Tech equipment & setup

Connectivity reimbursement

Home office stipend

High-speed internet

Job summary

Allstate is seeking a Lead Consultant to steer complex data and analytics initiatives that advance data strategy, governance, quality, modernization, and analytics across the enterprise. You will partner with business, technology, analytics, and governance teams to deliver scalable, trusted data capabilities and drive data-driven decision making.

The role requires strong leadership and communication, hands-on experience with cloud and lakehouse architectures, and the ability to translate

Qualifications

• Experience leading complex data and analytics initiatives.

Responsibilities

• Lead complex, cross-functional data and analytics initiatives aligned with business and enterprise data strategies.
• Define measurable success criteria and roadmaps for strategic data initiatives.
• Design scalable data solutions including ingestion, transformation, storage, modeling, and consumption.
• Promote best practices for data governance, quality, security, and lifecycle management.
• Collaborate with security, governance, and technology teams on trusted data architecture.
• Mentor teams and drive collaboration across data engineering, analytics, architecture, governance, and business units.

Skills

Data strategy

Data governance

Data quality

Data engineering

Analytics

Leadership

Communication

Cross-functional collaboration

Problem solving

Stakeholder influence

Tools

Microsoft Fabric

Azure

Spark

Python/PySpark

SQL

Kafka

dbt

Job description

Allstate is seeking a Lead Consultant to steer complex data and analytics initiatives that advance data strategy, governance, quality, modernization, and analytics across the enterprise. You will partner with business, technology, analytics, and governance teams to deliver scalable, trusted data capabilities and drive data-driven decision making.

The role requires strong leadership and communication, hands-on experience with cloud and lakehouse architectures, and the ability to translate