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End Cyber Risk at Arctic Wolf

Requirements

• Proficiency with Power BI (or similar), Excel, Salesforce (SFDC), Aha!, Jira, Confluence, and AI-enabled analytics tools
• Proven experience developing processes, KPIs, and reporting frameworks with automation
• Hands-on experience with OKR tracking tools (e.g., WorkBoard, Ally, Oboard)
• Familiarity with program management frameworks (Agile, Water-Scrum-Fall, SAFe)
• Experience with AI automation platforms (e.g., Jira Scriptrunner, Python scripting or generative AI tools)
• Reporting automation (Power BI, Excel, SFDC, Aha!, Jira, Confluence, AI/ML platforms)
• AI-driven data analytics & business insights (predictive models, natural language insights, anomaly detection)

Responsibilities

• Design, implement, and maintain scalable PMO processes and frameworks.
• Define, track, and present KPIs and OKRs across programs and business initiatives.
• Automate reporting and dashboards using AI/ML and analytics tools to reduce manual effort and improve transparency.
• Leverage AI-driven insights for predictive forecasting (e.g., adoption, feature performance, revenue impact).
• Partner with Product Management, Engineering, and Sales to provide adoption and performance updates with enhanced analytics.
• Analyze Salesforce (SFDC) opportunities and win rates, highlighting revenue and ARR contributions from new features, incorporating AI-based recommendations for pipeline health and growth.
• Build and maintain Power BI dashboards for executive reporting and program tracking.

Other

• Bachelor’s degree in Business, Data Analytics, Engineering, or related field
• 5+ years of experience in program management operations, analytics, or business analysis
• Background checks are required for this position.
• Ability to balance structure with flexibility (adapt process to fit context)
• Results-driven, with focus on clarity, adoption, and automation at scale