SHEET 03 — EXPERTISEP&ID · 4 QUADRANTS
§ 02Domain map
Four quadrants of practice.
The work clusters into AI/agentic systems, data science and ML, analytics and customer intelligence, and the data platforms underneath. Most shipped products live where two of these quadrants meet — and the electric sector is where most of mine have been forged.
Q1
AI & Agentic Systems
- ▸AI product strategy & roadmap inside regulated enterprises
- ▸Generative AI use-case discovery, scoping & rollout
- ▸Agentic workflows · human-in-the-loop design
- ▸Prompt, eval & guardrail patterns for production
- ▸Specification-Driven Development (Micro-Waterfall)
Q2
Data Science & ML
- ▸Predictive modeling · segmentation · forecasting
- ▸Anomaly detection · disaggregation (NILM)
- ▸ML use-case pipelines — concept → production
- ▸Model lifecycle on Spark / Databricks / AWS
- ▸Neural-network roots (M.Eng. thesis, NC State)
Q3
Analytics & Customer Intelligence
- ▸Customer-journey analytics · CSAT modeling
- ▸Usage disaggregation · peer compare · virtual audits
- ▸Premise-level forecasting · weather-normalized usage
- ▸BI delivery: Power BI · Tableau · Spotfire
- ▸Outcome metrics, A/B and experimentation discipline
Q4
Data Platforms & Governance
- ▸Enterprise data platform & data lake architecture
- ▸Big data: Hadoop / HBase / Spark / Databricks / AWS
- ▸Data governance, stewardship & quality (Informatica · DMBOK)
- ▸MDMS · AMI ingestion · IoT / ZigBee SEP at scale
- ▸Standards leadership: NIST SGIP · ZigBee Alliance · NAESB
PM
§ 02.1Core product skills
The toolkit.
AI Product ManagementGenerative & Agentic AIMachine Learning & Predictive ModelingData Science StrategyCustomer & Journey AnalyticsExperimentation & A/BRoadmap & PrioritizationOutcome & Metric DefinitionBuilding Workflows & Prototypes with AICross-Functional DeliveryData Lake & Platform ArchitectureData Governance & QualityBig Data — Hadoop / Spark / Databricks / AWSAgile · Scrum · SAFeSix Sigma & Lean
§ 02.2Technical environment
What I reach for.
AI / ML / Data Science
Analytics & Governance
- Power BI
- Tableau
- Spotfire
- Informatica
- DMBOK
- Data lineage & stewardship
- DQ frameworks