Data Analytics Manager - Client Legal Services

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Lead the next evolution of Client Legal Services (CLS) Legal Operations analytics by building a governed, scalable data and intelligence capability that converts operational and litigation data into measurable business value. This leader will modernize Power BI reporting, advance Microsoft Fabric adoption, integrate responsible AI, establish ROI discipline, and build predictive capabilities while developing team depth and ensuring continuity of critical analytics knowledge.

• Analytics Strategy & Leadership: Define and execute the CLS Legal Operations data and analytics roadmap, aligning priorities to operational strategy, litigation outcomes, cost management, quality, and leadership decision needs.
• Power BI Product Ownership: Lead the design, development, governance, and lifecycle management of executive and operational Power BI dashboards, semantic models, KPIs, and self-service reporting experiences.
• Microsoft Fabric & Data Engineering: Partner with Legal Technology, ATS, and source-system owners to build and sustain governed Fabric pipelines, lakehouse or warehouse solutions, reusable data products, and reliable integrations from Team Connect and other core systems.
• AI Integration: Identify and implement responsible AI use cases across analytics and Legal Operations, including natural-language insights, intelligent summarization, anomaly detection, workflow support, and decision‑assistance capabilities with appropriate governance and human oversight.
• Predictive Modeling: Establish the foundation for predictive and prescriptive analytics, including use‑case selection, feature and model development, validation, monitoring, and translation of model outputs into actionable operational and litigation insights.
• ROI & Value Realization: Create consistent business cases and measurement frameworks that connect volume, time savings, capacity, cost avoidance, spend reduction, quality improvement, and business outcomes to technology and process investments.
• Data Governance & Quality: Establish standards for data definitions, KPI governance, lineage, access, quality controls, reconciliation, documentation, and issue resolution to strengthen trust in reporting.
• Legal Operations Insight: Provide analytical support for assignment effectiveness, staffing and capacity, cycle time, task compliance, service delivery, quality, litigation trends, outside counsel performance, and workflow optimization.
• Executive Storytelling: Translate complex data and technical concepts into concise, decision‑ready insights and recommendations for CLS and Law & Regulation leadership.
• Team Leadership & Capability Building: Coach and develop analysts, clarify roles and operating practices, document institutional knowledge, strengthen technical skills, and build sustainable bench strength for long‑term continuity.
• Cross‑Functional Partnership: Collaborate with Legal, Claims, Finance, Quality, Business Architecture, Legal Technology, and enterprise data teams to prioritize solutions, prevent duplication, and accelerate adoption.
• Innovation & Continuous Improvement: Monitor emerging analytics, AI, and legal technology capabilities; test high‑value use cases; and move successful solutions from prototype to governed production use.

Capabilities & Technical Proficiency

• Advanced Power…