Canonical model + KPI tree + governance operating model that makes reporting consistent and decisions faster.
Forecasting and scoring embedded into workflow – production-ready with evaluation, monitoring, and traceability.
Customer 360 foundations and activation patterns for growth and product teams (when it matters).
• Multiple operating companies or multiple departments with conflicting definitions
• Decisions slowed by inconsistent numbers, unclear ownership, and brittle pipelines
• AI is the ask, but reliability, controls, and adoption are the blockers
• You need senior architecture and delivery – not slideware
Executive decision support, roadmap, governance, and vendor/tool direction – kept practical and enforceable.
Architecture → delivery → production readiness → runbooks and handoff. No science project.
• Consolidated fragmented portfolio data into a single governed ecosystem for executive decisioning
• Built KPI matrices and dependency trees to expose upstream drivers and external impacts
• Unified customer-vendor-software ecosystems to surface cross-opportunity and M&A adjacency plays
• Converted behavior signals into recommendation-ready decision views (workflow-aligned)
Snowflake • Databricks • Microsoft Fabric • Salesforce Data/Marketing Cloud • Informatica • LLM/RAG
