Data Governance Lead
Policy and lineage without quarterly scrambles. Auto-discover ownership, classify sensitive columns, and export audit-ready graphs on demand.
Executive summary
Deploy Metroflow as your living governance graph. Auto-tag PII-adjacent assets, export SOC2/GDPR lineage in hours, and run impact analysis before policy changes.
Static diagrams go stale the week you publish them. Metroflow discovers ownership and sensitive columns from live pipelines. Governance stays current without quarterly scrambles.
What broken lineage costs you
Typical patterns for Data Governance Lead teams. Ranges, not guarantees.
SOC2 auditor request
Weeks of manual lineage tracing
With Metroflow: On-demand export from live graph.
PII in unknown dashboard
Compliance incident
With Metroflow: "List all consumers of tables with email columns."
Ownership stale
Nobody accountable for assets
With Metroflow: Auto-discovered owners from pipeline metadata.
Policy change untested
Breaks downstream consumers
With Metroflow: Impact analysis before rollout.
Metadata only. Metroflow crawls schemas, job names, manifests, and dashboard definitions. Your production data rows never leave your network.
Your stack, one graph
Metroflow sits above the data path, not inside it. One searchable map for your entire role.
Governance sits on metadata: who owns each table, which columns are sensitive, and every downstream consumer: from warehouse to BI to ML features.
Where are you today?
Most teams land at L1 or L2. Target L4 in 90 days.
Quick self-check
- Answer "what breaks if X fails?" in under 15 minutes?
- Cross-functional teams share one definition of core KPIs?
- Incidents include downstream dashboard impact without Slack archaeology?
- Changes include cross-layer impact checks before merge?
- Named owners for certified metrics and critical pipelines?
0–2: Start Week 1 connect · 3–4: Certify metrics · 5: Add change gates
Choose your path
Every org is different. Pick the track closest to your context.
SOC2-focused SaaS
Access controls, change management, lineage evidence
Priority: Export first: critical system lineage pack
GDPR / privacy-heavy
PII tagging, retention, right-to-erasure impact
Priority: Map first: email/PII column consumers
Regulated industry
HIPAA, PCI, model risk overlays
Priority: Map first: sensitive data flows and ML features
Who owns what
Assign decision rights up front. Metric fights are governance problems.
| Role | Owns | On Metroflow |
|---|---|---|
| Governance lead | Policies, audits, classification | Own living graph. Audit exports. Policy impact tests. |
| Security / legal | Compliance frameworks | Review exports. Approve metadata-only crawl. |
| Data platform | Pipeline metadata | Ensure crawlers cover all systems. |
| Domain owners | Asset ownership accuracy | Validate auto-discovered owners quarterly. |
30 · 60 · 90 day rollout
A program with gates, not just a connector checklist.
Discover & classify
- Crawl warehouse, dbt, BI, orchestration
- Auto-tag PII-adjacent columns
- First ownership review
Audit readiness
- SOC2 lineage export template
- PII consumer map
- Access audit log integration
Policy ops
- Impact analysis before policy changes
- Quarterly governance review cadence
- Zero stale static diagrams
Incident runbook
When pii_consumer_audit is in trouble. Follow this timeline.
SOC2-ready export with owners and BI consumers.
Validate against access policies.
Living graph evidence, not stale slides.
Slack template
Metric certification pack
Copy into your governance doc. One definition. One owner. Full lineage.
Governance coverage
Track first- Formula
- % production assets with owner + classification in Metroflow.
- Target
- 95% by day 90.
- Owner
- Governance Lead
PII consumer mapping
Track second- Formula
- % PII-adjacent tables with complete downstream consumer list.
- Target
- 100% for tier-1 PII.
- Owner
- Governance + Security
Daily workflows
Four situations you will hit every week.
SOC2 / audit request
- Scope assets
Systems in audit boundary.
- Export lineage
One-click pack.
- Legal review
Deliver to auditors.
PII discovery
- Auto-tag
Email, phone, SSN patterns.
- Consumer map
BI, ML, exports.
- Remediate
Unauthorized consumers.
Before policy change
- Impact query
Who breaks if we restrict X?
- Notify owners
Downstream contacts.
- Rollout plan
Phased with verification.
Quarterly governance review
- Ownership accuracy
Validate with domain leads.
- Stale policies
Retire outdated diagrams.
- Coverage score
Report to Head of Data.
Copy-paste queries
Company Brain or lineage search. Context included.
Glossary
Plain English. "Why it matters" tells you when to care.
Outcomes checklist
Measure if the program is working.
| Success metric | 90-day target |
|---|---|
| Audit lineage export time | Hours vs months |
| PII tables with consumer map | 100% tier-1 |
| Production assets with owner | ≥ 95% |
| Static governance diagrams in use | Zero |
Ready to put this playbook to work?
Week 1: connect your stack and run your first blast-radius query. Week 4: certify your first KPI. Week 8: operationalize the runbook.