Data Contract Framework

Operating model for defining, enforcing, and auditing BI data contracts.

Published by @gtmagents·from gtmagents/gtm-agents·0 agent reads / 30d·0 saves·Updated June 14, 2026

Data Contract Framework Skill

When to Use

Establishing ownership and SLAs for mission-critical BI tables.
Coordinating schema changes between engineering, analytics, and RevOps.
Auditing data reliability before major launches or executive reporting cycles.

Framework

Contract Scope – table/view name, business purpose, consumer list.
Owner Matrix – technical owner, business owner, escalation contacts.
SLA Definition – refresh cadence, acceptable latency, data quality thresholds.
Change Workflow – approval steps, testing requirements, communication plan.
Compliance & Audit – logging, version history, and retention requirements.

Templates

Data contract one-pager (scope, owners, SLAs, dependencies).
Change request form with impact assessment.
Audit checklist for quarterly reviews.

Tips

Keep contracts lightweight but enforceable—link to dbt/docs for deeper detail.
Automate SLA checks via dashboards and alerting.
Pair with audit-data-contracts to prioritize fixes and highlight risk.

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Sharebench · Public bench

Connect via MCP.

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# Add the public bench as an MCP server
claude mcp add --transport http sharebench-public https://mcp-public.sharebench.ai

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{
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}

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# Add a remote MCP connector with this URL:
https://mcp-public.sharebench.ai

# Append to ~/.codex/config.toml
[mcp_servers.sharebench_public]
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