Compare profiles
Side-by-side leveling, scope, and market pay. Add up to four via ?keys=SWE.GEN.P5,SWE.GEN.P6.
| vs | P6 DATASC.DATASCIE8990.P6 Data Science — P6 | P5 DATASC.DATASCIE8990.P5 Data Science — P5 | P7 DATASC.DATASCIE8990.P7 Data Science — P7 | P6 DATASC.AIMACHIN97C0.P6 AI / Machine Learning Engineering — P6 |
|---|---|---|---|---|
| Market pay | $188k ($148k–$240k)inherited | $138k ($109k–$176k)inherited | $231k ($182k–$294k)inherited | $188k ($148k–$240k)inherited |
| Level | P6 · P6 — Principal Professional | P5 · P5 — Expert Professional | P7 · P7 — Staff / Distinguished Professional | P6 · P6 — Principal Professional |
| Function | Data Science & Analytics | Data Science & Analytics | Data Science & Analytics | Data Science & Analytics |
| Focus | Data Science | Data Science | Data Science | AI / Machine Learning Engineering |
| Typical years | 12–18 | 8–12 | 15–22 | 12–18 |
| Scope | Organization-wide architecture and the hardest problems | Multiple systems or a technical domain | Cross-organization / enterprise technical strategy | Organization-wide architecture and the hardest problems |
| Autonomy | Defines direction; minimal oversight | Sets direction within the domain | Operates autonomously at the enterprise level | Defines direction; minimal oversight |
| Impact | Organization-wide | Org / multi-team outcomes | Enterprise-wide | Organization-wide |
| Decision rights | Sets technical strategy for a major area | Authority over a technical domain | Final technical authority across multiple domains | Sets technical strategy for a major area |