• Value Selling - Partner with AEs and Solutions Engineers on enterprise deals: run discovery, map pain points to product, and translate findings into business cases, dashboards, and ROI narratives that resonate with economic buyers • Post-Sales Value Realization - Work alongside CSMs and Implementation Managers to drive adoption and retention through joint value sessions and standardized plays by industry and KPI. Design and deliver enablement on platform features, prompt engineering, reporting, and analytics workflows for internal teams and customers • Applied Data Science & Modeling - Use Python and SQL, augmented by AI coding tools, to run modeling workflows (regression, classification, clustering, forecasting) on use cases like QA score uplift, AHT reduction, and churn risk. Apply statistical techniques on conversation, agent, and platform data to validate outcomes and surface data-backed recommendations • KPI Monitoring, Reporting & QBRs - Track customer KPIs (QA, AHT, sentiment, escalation rates), own dashboards in Looker, Tableau, or Power BI, and produce QBR decks that quantify realized value at each milestone • Scaling Workflows - Build repeatable templates for QBRs, impact reviews, and CS playbooks, and use AI agents to automate recurring analysis and grow a scalable insights knowledge base • Note: Role requires ~ 20 - 25 % travel

• Work with other CrowdStrike Professional Services consultants and independently providing best-in-class delivery and integration services to a wide range of organizations and verticals • Act a trusted advisor to help lead customers to mature outcomes using next generation SIEM, log management, AI assisted investigations and SOAR features and functionality • Provide knowledge transfer of Falcon Next-Gen and other relevant Falcon modules to our customers

• Actively participate in the sales process and work closely with the direct and channel sales teams • Discover and understand customer requirements and align our solutions to those requirements • Present SailPoint business functions, value, and competitive differences • Provide product demonstrations to prospective customers • Assist in developing RFP responses in coordination with our RFP response team • Participate in onsite and remote Proof of Value (POV) evaluations • Provide feedback to Product Management on product enhancements

• Own and drive the design and delivery of analytics, reporting, and data visualization solutions for enterprise clients using tools such as Power BI. • Translate business requirements into technical solutions and interactive prototypes that align with phData methodologies, standards, and best practices. • Deliver project-based consulting engagements, including backlog support and development, ensuring work is delivered on time, within scope, and with measurable business value. • Analyze, troubleshoot, and tune performance or deployment issues across reports, data models, and underlying platforms as needed. • Recommend best practices to optimize data models, reports, and overall platform architecture, particularly in modern cloud data environments (e.g., Snowflake). • Collaborate with cross-functional partners including data engineering, analytics, and client business stakeholders to deliver successful client engagements. • Manage client expectations by leading regular status meetings, providing clear updates, and proactively soliciting feedback through working sessions and demos. • Provide technical leadership in the use of Power BI and data preparation tools (e.g., Alteryx, KNIME), guiding clients on how to scale and govern their analytics solutions. • Ensure high quality in deliverables through documentation, validation, and adherence to governance, security, and change management standards. • Partner with practice and account leaders to identify opportunities to expand analytics use cases, improve delivery patterns, and standardize reusable approaches. • Contribute to internal initiatives such as developing accelerators, templates, and best-practice playbooks for Power BI, data preparation, and modern BI. • Share knowledge with peers through mentoring, informal coaching, and collaborative problem solving. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.