hirly

Apply with hirly

Data Analytics Manager - Client Legal Services

Allstate · US - Remote

Upload your resume to see how well you match this job — free, in seconds, no account needed.

Your resume is used only to score it against this job. If you don't create an account, it is deleted within 24 hours.

Already have an account? Sign in to see your saved application

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. Key Responsibilities

  • 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 TeamConnect 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 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 integration with Power BI.
  • 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. Preferred Experience
  • 7 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 is strongly preferred.
  • Bachelor’s degree in analytics, data science, computer science, information systems, finance, business, or a related field preferred; an equivalent combination of education and experience may be considered. #LI-JB1 Skills Analytics, Business Analysis, Business Case Analyses, Business Strategies, Data Analytics, People Leadership, Project Coordination, Strategic Management Compensation Compensation offered for this role is 100,000.00
  • 170,500.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. 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 ”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click “ here ”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (in