Vetted Forecasting Professionals

“Talent Acquisition Operations leader with experience at Intel and Synopsys, managing a 12-person ops team and leading end-to-end recruiting tech stack implementations (Avature ATS/CRM, SmashFly, HiredScore AI) integrated with Workday. Known for redesigning global operating models and executive recruiting workflows, building analytics in Visier/Avature, and driving measurable outcomes including ~80% reduction in external vendor dependency and improved candidate experience through consistent CRM-based engagement.”

“RevOps/strategy operator at Cognitiv reporting directly to the President, owning 30+ measurable outcomes across 8 corporate objectives. Known for building executive operating rhythms (Slack-driven weekly business pulse reporting) and driving cross-functional alignment across Sales, CS, Marketing, Product, and Finance. Delivered measurable growth impact (20% lift in auto growth progress in 8 weeks) by using red-teaming insights to reallocate marketing investment.”

“Technology leader who drove end-to-end modernization at Dogtopia—building a proprietary SaaS POS/CRM and operations platform plus an AI-powered customer app—using OKR-driven roadmaps and Agile/DevOps delivery. Previously at GE, led a cloud-native AWS data fabric re-architecture with strong security/governance (RBAC, classification, encryption, lineage, virtualization), cutting processing time 60%+ and enabling AI workloads tied to $400M in business value.”

“Enterprise Lead CSM (Grammarly) with end-to-end ownership of major accounts like T-Mobile, driving measurable adoption outcomes (95%+ utilization) and operational impact (5x faster time-to-publish). Strong cross-functional operator who synthesizes enterprise feedback into prioritized product inputs and partners tightly with Sales to deliver land-and-expand growth ($1.5M+ net new revenue). Background in advertising sales (Yelp, BabyCenter/J&J) with data/analytics and SEO-informed campaign strategy.”

“Capital One engineer leading the architecture and delivery of a large-scale AWS Glue/Spark/Delta Lake batch messaging pipeline that decoupled batch from real-time flows, added multi-region failover and automated retries, and delivered ~40% AWS cost savings with ~3x performance gains. Currently building an LLM-powered Slack bot using RAG to automate message investigations by querying CloudWatch, Snowflake, and internal documentation with privacy-aware masking of NPI/PII.”