Remote Data & Analytics Lead Consultant

Allstate; Springfield (IL); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Connectivity reimbursement

Hybrid work options

Job summary

Allstate seeks a Lead Consultant in Data & Analytics to guide enterprise data strategy, governance, quality, and modernization efforts across governance, analytics ecosystem, and data security. You will lead multi-track programs, mentor teams, and translate complex data concepts into business insights while aligning with enterprise objectives.

The role emphasizes collaboration across data engineering, analytics, architecture, governance, security, and business units, with a focus on scalable,

Qualifications

• Strong knowledge of data and analytics strategy, data governance, data quality, data engineering, and analytics.
• Strong understanding of modern data architecture, including lakehouse, data warehouse, batch and streaming processing, and cloud-based data platforms.
• Hands-on knowledge of technologies such as Microsoft Fabric, Azure, Spark, Python/PySpark, SQL, or equivalent modern data technologies.
• Experience with data modeling, data integration, metadata, lineage, master data management, and data quality practices.
• Understanding of Microsoft Fabric capabilities including Lakehouse, Warehouse, OneLake, Notebooks, Data Pipelines, and Semantic Models.
• Experience with modern software and data engineering practices including Git, automated testing, CI/CD, monitoring, and observability.
• Experience with Microsoft Fabric and Azure data services.
• Experience modernizing legacy data platforms and processes into cloud or lakehouse architectures.
• Knowledge of enterprise data governance, data catalogs, metadata management, lineage, and data quality frameworks.
• Experience with Master Data Management and enterprise data standardization.
• Experience with data security, privacy, classification, and access-control practices.
• Familiarity with generative and agentic AI capabilities and their application to data, analytics, and engineering productivity.
• 7 or more years of relevant experience in data, analytics, technology, consulting, or related disciplines (Preferred).
• Experience leading complex or cross-functional data and analytics initiatives (Preferred).

Responsibilities

• Lead complex, cross-functional data and analytics initiatives aligned with business and enterprise data strategies.
• Translate business objectives and requirements into actionable data, analytics, and technology solutions.
• Develop frameworks, roadmaps, and implementation plans for strategic data initiatives.
• Identify opportunities to improve how enterprise data is collected, integrated, managed, governed, and consumed.
• Evaluate technical approaches and communicate recommendations, risks, dependencies, and trade-offs to stakeholders.
• Help establish trusted and governed data sources that can be consistently reused across business and analytical applications.
• Lead the design and delivery of scalable data solutions supporting analytical and business needs.
• Provide technical guidance for data ingestion, transformation, integration, storage, modeling, and consumption.
• Apply modern data technologies and frameworks such as Microsoft Fabric, Azure, Spark, Python/PySpark, SQL, Kafka, dbt, or equivalent technologies.
• Support modernization of legacy data platforms and processes through cloud, lakehouse, and modern data engineering patterns.
• Ensure data solutions meet expectations for performance, reliability, security, and operational support.
• Establish and promote practices that improve the reliability, consistency, accessibility, and quality of enterprise data.
• Partner with business and technology teams to define data ownership, stewardship, metadata, lineage, and quality expectations.
• Define and monitor data quality controls, validation rules, reconciliation processes, and key data quality metrics.
• Enable the appropriate data, platforms, and capabilities needed to conduct analysis, inform decisions, and deliver measurable business outcomes.
• Partner with analytics, data engineering, product, and business teams to develop integrated analytical capabilities.
• Promote consistent and reusable approaches to data modeling, data access, semantic definition, and analytics consumption.
• Identify gaps in the analytics ecosystem and recommend improvements to platforms, processes, and capabilities.

Skills

Data governance

Data quality

Analytics strategy

Cloud data platforms

Microsoft Fabric

Azure

Spark

Python/PySpark

SQL

Kafka

dbt

Leadership

Tools

Git

CI/CD

Automated testing

Monitoring

Observability

Job description

Allstate seeks a Lead Consultant in Data & Analytics to guide enterprise data strategy, governance, quality, and modernization efforts across governance, analytics ecosystem, and data security. You will lead multi-track programs, mentor teams, and translate complex data concepts into business insights while aligning with enterprise objectives.

The role emphasizes collaboration across data engineering, analytics, architecture, governance, security, and business units, with a focus on scalable,