Arctic Wolf
Principal, S2 Workforce Strategy and Intelligence Lead
$148K–$222K
Eden Prairie, MN, USA +1 · Principal · Full-time · Posted Sep 22, 2026
- Location
- Eden Prairie, MN, USA
Waterloo, ON, CAN - Experience
- 8+ years, with prior ownership of this exact function.
- Visa sponsorship
- Offers may be conditioned on authorization to receive software or technology controlled under U.S. export control laws and regulations, if applicable.
About the job
Leads workforce productivity and benefits analysis for Arctic Wolf’s Security Services organization, measuring operational efficiency and the business outcomes of automation, AI, process, and product investments.
What you'll do
- Build workforce intelligence and productivity accounting models covering work flows, capacity, savings, and demand.
- Track approved productivity initiatives from projected benefits through realized outcomes and explain variances.
- Identify productivity inefficiencies and partner with Product, Data Science, and Engineering to prioritize investments and verify results.
What they ask for
- 8+ years in workforce management analytics, capacity planning, or task-mix and time-in-motion analysis in a 24x7 operational environment, including prior ownership of this exact function.
- Experience partnering directly with Finance and Product to connect operational data to cost and roadmap decisions.
- Hands-on experience applying AI and machine learning in analytics, such as task-complexity modeling, capacity forecasting, or automation ROI evaluation.
- Advanced SQL and BI/analytics tooling fluency, with experience building executive-facing dashboards and reporting from operational data.
Nice to have
- Background in cybersecurity, MSSP/MDR, or another 24x7 technical operations environment.
- Experience establishing workforce analytics in a scaling organization; SOC/security operations knowledge; workforce or digital-adoption analytics platforms; or presenting to executives.
Pay
148,000.00 to 222,000.00 USD annually (base salary)
Tools
SQL, Power BI, Tableau, Snowflake, Python, R, Verint, NICE
AI focus
Apply AI and machine learning in analytics, including task-complexity modeling, capacity forecasting, automation ROI evaluation, and human-plus-AI productivity measurement.
Model-written summary · the original posting is authoritative