Assistant Director, Advanced Analytics

Responsibilities Own value realization analysis for assigned initiatives across GRS, ensuring that financial, operational, and strategic benefits are clearly defined, baselined, and tracked from inception through delivery. Quantify the impact of key bodies of work by applying analytical techniques to translate value hypotheses into defensible, data‑backed assessments that stand up to scrutiny. Develop and refine key metrics, KPIs, and targets for transformation initiatives and core workstreams, ensuring each body of work has clear, measurable indicators tied to Our Path to 2030 objectives. Deliver actionable insight to leadership that informs prioritization decisions, surfacing what is working, what is at risk, and where resources and focus should shift to protect or accelerate value. Partner with business and technology leaders as part of broader working teams to understand initiative scope, validate value assumptions, and build shared alignment on how impact will be measured and realized. Build and maintain reporting that tracks plan versus actual performance at the initiative level, making trends, variances, and opportunities visible and actionable. Pressure‑test business cases and assumptions with rigor and constructive challenge, holding stakeholders accountable to committed outcomes and flagging risks early. Contribute to the evolution of the value realization framework and measurement standards used across the Transformational Office, helping codify best practices as the capability matures. Embrace a one‑transformation‑office mindset. The transformation office is a small team, meaning that everyone wears multiple hats. While value capture is the key responsibility, you should expect to contribute to adjacent priorities when deemed fit. We succeed as one team. Qualifications Masters Degree in Mathematics, Economics, Statistics or any other quantitative field plus a minimum 5 years of applied business / non‑academic experience preferred. For non‑Masters Degree candidates, Bachelor’s Degree and minimum of 7 years of applied business/non‑academic experience, or equivalent. Proven track record of developing and applying modeling to business problems. Deep knowledge of data sources, tools and business drivers. Comprehensive understanding of the insurance value chain — from underwriting and pricing through claims, operations, and distribution — with the ability to connect process‑level knowledge to financial and operational value drivers across the business. Ability to apply more advanced analytical concepts to improve business outcomes. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem). Must have good planning, analytical, decision‑making and communication skills. #J-18808-Ljbffr Liberty Mutual Insurance