Principal, S2 Workforce Strategy and Intelligence Lead

At Arctic Wolf, we're not just navigating the cybersecurity landscape - we're redefining it. Our global team of dedicated Pack members is driving innovation and setting new industry standards every day. Our impact speaks for itself: we've earned recognition on the Forbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60 lists, and we recently took home the 2024 CRN Products of the Year award. We’re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and earning a Customers' Choice distinction from Gartner Peer Insights . Our Aurora Platform also received CRN’s Products of the Year award in the inaugural Security Operations Platform category. Join a company that’s not only leading, but also shaping, the future of security operations.

Our mission is simple: End Cyber Risk. We’re looking for a Principal, S2 Workforce Strategy and Intelligence Lead to be part of making that happen.

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.

About Arctic Wolf:

At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2025), Best Places to Work – USA (2021-2024), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024), and Kununu Top Company – Germany (2024-2026). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry.

Our Values:

Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion, and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.

We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here .

We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.

All wolves receive compelling compensation and benefits packages, inc