• Maintain our marketing data model in HubSpot, ensuring clean object relationships, consistent field architecture, and scalable structure as we grow • Build and maintain data pipelines that connect external sources (product usage from our Growth Product team, event/webinar platforms, enrichment providers, ad platforms, etc.) into our marketing systems • Establish data governance standards and ensure data quality across all marketing systems, from campaign attribution to lifecycle stage definitions • Partner with Growth Product to instrument signup and onboarding events, ensuring product data flows cleanly into HubSpot • Continuously test, refine, and improve lead scoring and segmentation models based on conversion data and PMM feedback • Create a 'single source of truth' for marketing data that PMMs, Events & Community, Growth, and the broader GTM org can trust • Evaluate, implement, and optimize AI tools that enhance marketing productivity (content personalization, audience research, etc.) • Build automated workflows that reduce manual work for marketers. Think enrichment on inbound signups, automated event follow-up sequences, intelligent nurture branching, and onboarding triggers • Build and maintain dashboards and reports that provide visibility into funnel health, channel performance, campaign ROI, event ROI, and signup → activation conversion • Document metric definitions, scoring logic, and attribution methodologies to ensure transparency across Marketing and GTM teams • Partner with Data Engineering and the Growth Product eng team, and own outside integrations between our marketing tools (HubSpot, event platforms, community tools, ad platforms, enrichment, product analytics, data warehouse) • Support the Events & Community team in launching in-person events, from list building to reporting on results

• Map and implement a revenue attribution model across acquisition channels: organic PLG, paid media, Sales, Partnerships and intragroup LWSA; • Ensure every generated lead has source tracked, status updated and complete data throughout the entire journey; • Identify pipeline coverage gaps; • Structure a unified view of the acquisition funnel; • Define and standardize funnel stages for each channel (PLG→SLG handoff, Sales inbound, Partnerships); • Create and maintain funnel dashboards by vertical and consolidated views; • Identify leak points and propose improvement hypotheses with prioritization logic based on impact; • Act as the technical interface between the Performance Marketing team and Product/Tech; • Audit existing tagging coverage and prioritize fixes based on impact to CAC measurement and attribution; • Document the tagging model as a living operational standard; • Structure and maintain the CRM as a reliable source of record for Sales and Partnerships teams; • Support implementation of workflow automations (e.g., PLG→SLG handoff, pipeline notifications, inactivity alerts) in collaboration with stakeholders; • Produce periodic acquisition performance analyses segmented by channel, segment and time period; • Build the RevOps metrics framework for the operation: definitions, sources, frequency and owner for each metric.

• Obtain updates from leaders in the Private Equity practice on sales opportunities and projects, including new client accounts, project opportunities, pipeline stage, active projects, staffing assignments, utilization allocations, and project extensions. • Update the applicable data fields in Salesforce and Kantata to ensure that the sales opportunities and projects are accurate, complete, and timely. • Perform regular data quality checks, audits, and cleanups to ensure downstream reporting accuracy. • Support system enhancements by assisting with testing, validation, and documentation. • Identify recurring user issues or patterns and partner with the IT Team and senior RevOps team members on scalable solutions and improvements specific to the PE practice. • Provide timely, thoughtful support to PE practice users, including troubleshooting issues, answering questions, and resolving data or access-related requests. • Develop scalable and repeatable processes to ensure pipeline and project data is kept up to date as the practice continues to grow and scale. • Surface trends, gaps, and data issues to the broader RevOps, IT, FP&A, and Staffing teams as well as to the leadership of the Private Equity practice. • Work collaboratively with key stakeholders across the business to ensure the Private Equity practice pipeline and project data are kept timely and up to date. • Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards. • Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes.

• Own the full lead-to-cash process across Sales, Marketing, and Customer Success • Redesign MQL-to-SAL handoff logic per product line to reflect SSC's evolution from a ratings company to a multi-product solutions platform • Build alerting and accountability systems that keep data quality high • Lead customer insights and the Deals Desk function • Optimize territory assignment continuously based on attainment and addressable TAM • Architect and deploy agentic GTM workflows using Claude, Salesforce Agentforce, and supporting tools • Own and drive the Salesforce Agentforce implementation roadmap • Build AI-powered lead scoring, ICP-fit routing, and signal-based outbound triggers • Own the revenue forecast methodology • Drive weekly CRO pipeline reviews and monthly CFO revenue reporting • Own SLT communications on GTM performance, forecast risk, and course corrections • Cultivate Snowflake as the data warehouse and AI input layer for all GTM intelligence