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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal, S2 Workforce Strategy and Intelligence Lead - **Company:** Arctic Wolf Networks, Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $148,000.0 - $222,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Cyber Security, Python (Programming Language), Operational Data Store, Power BI, Standard Sql, Tableau (Software), Sql Optimization, Snowflake, Data Analytics - **Published:** September 23, 2026 - **Apply:** https://startup.jobs/principal-s2-workforce-strategy-and-intelligence-lead-arcticwolf-com-10157277 ## About the Role Workforce Economics * Productivity modeling * Cost-to-serve analysis * Benefits realization * Capacity planning * Forecasting Analytics * SQL * Power BI * Tableau * Snowflake * Python * R preferred AI Analytics * Process mining * Task mining * ML forecasting * Agent performance analytics * Human plus AI productivity measurement, * 8+ years in workforce management analytics, capacity planning, or task-mix and time-in-motion analysis within a 24x7 operational environment, including direct, prior ownership of this exact function. * Demonstrated experience partnering directly with Finance and Product organizations to connect operational data to cost and roadmap decisions. * Hands-on experience applying AI and machine learning within an analytics practice, such as modeling task complexity, forecasting capacity, or evaluating automation ROI, not just familiarity with AI tools. * Advanced SQL and BI/analytics tooling fluency, with a track record of building executive-facing dashboards and reporting from operational data. * A demonstrated ability to take ambiguous, high-stakes leadership questions and turn them into hard, defensible data., * Background in cybersecurity, MSSP/MDR, or another 24x7 technical operations environment such as a SOC, NOC, or high-volume contact center. * Experience standing up a workforce analytics function from scratch inside a scaling, high-growth organization. * Familiarity with SOC and security operations concepts, including tiered analyst models, alert triage, and automation-augmented investigation. * Experience with workforce management or digital-adoption analytics platforms such as Verint, NICE, Pendo, or FullStory. * Experience presenting analytics findings directly to senior or executive leadership. ## Description The Principal Workforce & Productivity Analytics Lead serves as the system of record for workforce productivity, operational efficiency, and value realization across Arctic Wolf's Security Services organization (S2). This role is responsible for establishing a comprehensive workforce intelligence framework that quantifies how work flows through the organization, where effort is being spent, what value is being generated, and how investments in automation, AI, process improvement, and product capabilities translate into measurable business outcomes. The successful candidate will provide executive leadership with a transparent, defensible view of workforce productivity, cost-to-serve, operational efficiency, and return on investment, enabling fact-based decisions on staffing, automation strategy, product priorities, and organizational scale. Primary Responsibilities: Workforce Productivity and Intelligence Measurement Develop and maintain a comprehensive workforce intelligence model that quantifies: * Work entering the organization * Work exiting the organization * Capacity created through automation and process improvements * Capacity consumed by new products, services, customer growth, and operational requirements * Productivity trends across teams, functions, shifts, and workflows Create a defensible productivity accounting framework that distinguishes between: * Gross savings * Net savings * Capacity creation * Capacity redeployment * Demand growth * Non-value-added work * Operational inefficiencies Savings Realization Management Establish and maintain a benefits realization framework that tracks every approved productivity initiative from projected benefit through realized outcome. Measure and report: * Expected savings * In-flight savings * Realized savings * Avoided costs * Capacity redeployment * Variance to business case Identify and explain gaps between projected and realized outcomes, including demand increases, adoption challenges, workflow inefficiencies, quality impacts, and incomplete process adoption. Operational Efficiency Analysis Identify sources of productivity leakage across the S2 organization, including: * Process variation * Duplicate effort * Rework * Escalation loops * Tool switching * Manual data collection Low-value administrative work * Excessive investigation effort * Poor technology adoption Build evidence-based recommendations to improve workforce efficiency and increase value- generating activity. Partner with Product Management, Data Science, and Engineering teams to prioritize roadmap investments by quantifying operational friction, workforce impact, customer impact, and potential business value. Create measurable feedback loops to verify that released capabilities deliver the outcomes and productivity gains included in the original business case., * Conducts duties and responsibilities in accordance with AWN's Information Security policies, standards, processes, and controls to protect the confidentiality, integrity, and availability of AWN business information (in accordance with our employee handbook and corporate policies). * Background checks are required for this position. * This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations ("EAR"). Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these laws and regulations. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Delete the roles, deploy the skills](https://www.wearedevelopers.com/videos/2104-delete-the-roles-deploy-the-skills) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Your AI coding tool is getting used. 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