
Assistant Director, Workforce Strategy & Intelligence
Liberty Mutual · Insurance
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Job Description:
Analytics & Insights Delivery: Structure and perform sophisticated workforce analyses across complex internal and external data sources, connecting workforce, business, financial, and talent signals to identify emerging trends, risks, and opportunities. Translate findings into clear executive-level insights, recommendations, and compelling data stories. Strategic Workforce Planning: Lead end-to-end strategic workforce planning engagements, including development of workforce hypotheses, supply and demand modeling, skills analysis, gap identification, scenario development, and influencing actionable workforce strategies. Shape analytical approaches and adapt methodologies to address complex and evolving business needs. Strategic Consultation & Influence: Serve as a trusted advisor to Technology and talent leaders, independently framing complex workforce questions, challenging and refining assumptions, evaluating trade-offs, and providing data-driven recommendations that influence strategic workforce decisions. Workforce Intelligence: Shape and advance workforce intelligence capabilities by integrating internal and external insights across workforce, skills, AI, labor market, financial, and business trends. Identify new approaches and analytical capabilities that strengthen leaders' ability to anticipate workforce needs and make proactive decisions. Stakeholder Leadership: Build and maintain trusted partnerships with senior stakeholders across Technology, HR, Finance, Skills, AI Transformation, and other enterprise priorities. Connect perspectives across functions, navigate competing priorities, and drive alignment around complex workforce opportunities. Team Capability & Thought Leadership: Elevate the effectiveness of the broader team by developing and improving analytical approaches, models, tools, and frameworks; sharing expertise; mentoring and advising peers; and serving as a thought partner on complex work. Evaluate emerging technologies and identify opportunities to improve the quality, scalability, and impact of workforce analytics. Execution & Agility: Independently lead complex work across multiple priorities in a fast-moving environment with evolving business needs. Demonstrate strong judgment, resourcefulness, and accountability while identifying risks, resolving ambiguity, and driving work from initial problem definition through successful delivery and stakeholder action. Bachelor's degree in Analytics, Business, Human Resources, Economics, or a related field 7+ years of experience in analytics, workforce analytics, HR analytics, strategic workforce planning, or a related field Advanced analytical and problem-solving skills, with demonstrated ability to independently structure ambiguous problems, fully integrate complex data from multiple sources, identify meaningful patterns, and develop actionable strategic insights Demonstrated experience leading complex, cross-functional analytical or strategic initiatives from problem definition through recommendation and implementation Proven ability to navigate significant ambiguity, exercise sound judgment with incomplete information, anticipate risks and dependencies, and independently determine the path forward Demonstrated ability to connect workforce insights to broader business, financial, technology, and talent strategies and translate analysis into implications for senior leaders Exceptional communication, storytelling, and executive presence, with experience translating complex analysis into clear recommendations and influencing senior and non-technical audiences Strong consultation and relationship-management skills, with demonstrated ability to challenge assumptions constructively, shape stakeholder thinking, navigate differing perspectives, and build alignment Advanced proficiency in SQL/Snowflake, Excel, and Power BI, with demonstrated ability to independently query, combine, transform, and validate complex data across multiple sources and maintain strong ownership of data logic, definitions, and quality Demonstrated curiosity and practical experience applying current AI and emerging technologies to improve the quality, efficiency, and scalability of analytical work Proven experience leading multiple complex workstreams and projects simultaneously, with strong organizational, prioritization, and project leadership skills Demonstrated ability to raise the capability of others through thought leadership, coaching, knowledge sharing, and development of scalable tools, methodologies, or best practices