Head of Data · Data Engineering · Ops
Data Quality & Observability
Treat data quality as a product with SLAs, alerting, and runbooks.
Set minimal SLAs, owners, and runbooks to reduce incidents without over‑tooling.
Agents are automated analysts that produce decision-ready artifacts (scorecards, business cases, policy drafts) under executive accountability.
What you get
- Decision artifacts
- Audit trail / governance
- Executive sign-off
Expected outcomes
- • Data SLAs + owners
- • Actionable alerting
- • Runbooks and prevention
Deliverables
- • SLA catalog and thresholds
- • Prioritized alerting + quality dashboards
- • Runbooks + prevention loop (contracts, tests)
KPIs
- • Data incident MTTR
- • Actionable alert rate
- • SLA/owner coverage
Engagement
8–10 weeks focused on critical domains.
Indicative range : 9,000 € – 18,000 € / month.
FAQ
Do we need a new tool?
We start with your stack; add only if needed.
Which metrics?
Freshness, completeness, MTTR, and noise vs actionable alerts.
How do we involve the business?
Owners per domain, data contracts, monthly incident reviews.