Data Office KPI Reference Checklist

This document serves as a comprehensive reference for tracking the success of all major pillars of the Data Office: Strategy & Governance, Staffing, Architecture & Environment, Processes, and Data Services.

Strategy & Governance

KPI Description	Target	Status
% of data assets with clear ownership/stewards	90%
Governance council engagement rate	80%+ monthly
% of business units engaged in governance policies	100%
PII policy compliance rate	>95%

Staffing & Talent Strategy

KPI Description	Target	Status
# of interns/projects sourced via universities	6+ per year
% of positions filled with internal mobility	≥ 30%
Average time to hire for data roles	< 45 days
Retention rate of junior hires after 1 year	≥ 85%
% of roles with a documented career development path	100%

Architecture & Environment

KPI Description	Target	Status
% of critical systems integrated into data platform	≥ 80%
Mean pipeline failure rate	< 2%
% of datasets with automated data quality monitoring	≥ 85%
Mean data latency for curated datasets	< 15 min
Environment uptime SLA (Snowflake, Glue, Lambda, etc.)	≥ 99.9%

Process & Governance Operations

KPI Description	Target	Status
Data request approval cycle (Level 1)	< 48 hours
% of Level 0 datasets with InfoSec approval logs	100%
% of datasets with usage and access logs	100%
Frequency of governance steering meetings	Monthly
Completion rate of CCPA/GDPR compliance audits	100% (annual)

Data Services & Productization

KPI Description	Target	Status
Time-to-access new dataset (Level 2)	< 2 business days
# of unique monthly users of catalog/data services	≥ 200
# of reusable data products/APIs published	≥ 25
Internal data satisfaction survey score	≥ 4.0 / 5
% of self-service enabled reports and dashboards	≥ 70%

Usage

Status column should be updated monthly.
Use this file to feed dashboards in Notion, Excel, Tableau, or Power BI.
Store it alongside your governance policy documentation for alignment.