Data Analytics Manager - Client Legal Services

Allstate • McCullom Lake, IL

2d • $100,000 - $170,500

About The Position

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. The role modernizes Power BI reporting, advances Microsoft Fabric adoption, integrates responsible AI, establishes ROI discipline, and builds predictive capabilities while developing team depth and ensuring continuity of critical analytics knowledge.

The manager defines and executes the CLS Legal Operations data and analytics roadmap; owns executive and operational Power BI products; partners on governed Fabric data solutions and integrations; identifies and implements responsible AI and predictive analytics capabilities; and establishes data governance, quality, and value-measurement practices. The position provides insight into Legal Operations performance, translates complex information into executive recommendations, develops analysts, and works across business and technical teams to deliver and continuously improve governed analytics solutions.

Requirements

• Advanced Power BI expertise, including data modeling, semantic models, DAX, Power Query, visualization standards, performance optimization, deployment, security, and governance.
• Working knowledge of Microsoft Fabric, including OneLake, data pipelines, notebooks, lakehouse or warehouse patterns, data engineering, governance, and Power BI integration.
• Experience applying Python, SQL, machine learning, or comparable analytical methods to forecasting, classification, segmentation, anomaly detection, and predictive modeling.
• Practical understanding of generative AI, copilots, data agents, prompt-driven analytics, responsible AI controls, and human-in-the-loop design.
• Strong financial and operational acumen, including cost-benefit analysis, capacity modeling, unit cost, benefits tracking, and ROI realization.
• Experience establishing data quality controls, KPI definitions, documentation, testing, change management, and production support practices.
• Ability to lead through influence across technical and business teams and communicate effectively with senior leaders.

Nice To Haves

• Seven or more years of progressive experience in data analytics, business intelligence, data engineering, advanced analytics, or a related discipline.
• Experience leading analysts or multidisciplinary analytics teams and developing technical talent.
• Demonstrated ownership of enterprise reporting products or analytics platforms from intake and design through deployment, adoption, and support.
• Experience in Legal Operations, insurance, claims, litigation, finance, or another complex regulated environment.
• Bachelor’s degree in analytics, data science, computer science, information systems, finance, business, or a related field; an equivalent combination of education and experience may be considered.

Responsibilities

• Define and execute the CLS Legal Operations data and analytics roadmap, aligning priorities with operational strategy, litigation outcomes, cost management, quality, and leadership decision needs.
• Lead the design, development, governance, and lifecycle management of executive and operational Power BI dashboards, semantic models, KPIs, and self-service reporting experiences.
• Partner with Legal Technology, ATS, and source-system owners to build and sustain governed Microsoft Fabric pipelines, lakehouse or warehouse solutions, reusable data products, and reliable integrations from TeamConnect and other core systems.
• 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, with appropriate governance and human oversight.
• Establish the foundation for predictive and prescriptive analytics, including use-case selection, feature and model development, validation, monitoring, and translating outputs into actionable operational and litigation insights.
• Create business cases and measurement frameworks connecting volume, time savings, capacity, cost avoidance, spend reduction, quality improvement, and business outcomes to technology and process investments.
• Establish standards for data definitions, KPI governance, lineage, access, quality controls, reconciliation, documentation, and issue resolution.
• Provide analytical support for assignment effectiveness, staffing and capacity, cycle time, task compliance, service delivery, quality, litigation trends, outside counsel performance, and workflow optimization.
• Translate complex data and technical concepts into concise, decision-ready insights and recommendations for CLS and Law & Regulation leadership.
• Coach and develop analysts, clarify roles and operating practices, document institutional knowledge, strengthen technical skills, and build sustainable bench strength.
• Collaborate with Legal, Claims, Finance, Quality, Business Architecture, Legal Technology, and enterprise data teams to prioritize solutions, prevent duplication, and accelerate adoption.
• Monitor emerging analytics, AI, and legal technology capabilities; test high-value use cases; and move successful solutions from prototype to governed production use.

Benefits

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
• Monthly connectivity reimbursement for employees eligible to work from home.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager