About the Role:

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.

Key Skills:

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

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

On-Camera Policy:

• To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews.
• Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers.
• We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations.

The base salary range for this job family is 148,000.00 to 222,000.00 USD annually. This range reflects the base pay the company reasonably expects to offer for this position, aligned to the broader job family base pay structure. Actual base pay may vary based on skills, experience, and location, including job family level. In addition to base pay, Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package.