About the role
Security Usage Intelligence and Reporting Build and maintain executive-ready reporting dashboards, leveraging semantic models and narratives that integrate Threat Protection, Data Security, and Cloud Security into a single story for field execution. Author enablement content and field guidance that clarifies metric logic, licensing and subscription cycles, and usage thresholds, giving the field clear paths to diagnose issues and drive customer adoption. Telemetry, Data Quality, and Field Escalation Serve as the primary point of contact for telemetry and metric questions, leading root-cause investigations into data fluctuations and defects. Run a structured field escalation process, partnering with engineering and data teams to resolve systemic issues and drive down time-to-fix for data defects. Host recurring reporting clinics and office hours that accelerate field readiness and keep metric interpretation consistent across teams. Establish and maintain a governance framework for fiscal-year and compensable metrics, including access controls, attestation. Strategic Planning and Cross-Org Influence Lead preparation and planning for annual compensable metrics, building alignment across Product Group, Marketing, Finance,
Compensation, and Business Architecture teams. Deliver ad-hoc analyses and active-usage studies that inform business strategy and leadership decisions. Build and scale cross-org data insights and promote data-driven decision making, hosting monthly reviews that democratize insights across Product, Finance, Marketing, Business Strategy, and the field. Bachelor's Degree in Business Administration, Marketing, Finance, Engineering, or related field AND 4+ years experience in business consulting, sales, sales operations, information technology (IT), account management, business development, marketing, IT field sales, or a related field | OR equivalent experience. 3+ years experience in in Near Term Strategy (1-2 years out), Management Consulting, or Finance. Proficiency with Power BI, including data modeling and DAX, and hands-on experience with enterprise reporting platforms and large telemetry datasets. Proven ability to translate complex data into clear metrics, executive narratives, and actionable field guidance. Demonstrated success partnering across product, engineering, finance, and sales in a large, matrixed enterprise environment to align on priorities.
