Data Intelligence
Data Governance & Quality Lead
Making data trustworthy enough to act on
Owns the trustworthiness of data across the organization. Data contracts, lineage tracking, quality gates, access policies. Critical when AI systems make decisions based on data nobody has formally validated.
What this role covers
Data contracts — Formal agreements between producers and consumers — no surprises downstream
Lineage tracking — Where data came from, how it was transformed, who touched it
Quality gates — Automated validation before data enters AI pipelines
Access policies — Who can see what data, under what conditions
Compliance alignment — Ensuring data practices meet GDPR, HIPAA, and audit requirements
When you need this role
Regulated industries: healthcare, finance, legal
"Our AI outputs are only as good as the data going in, and we have no formal validation process. We're one audit away from a serious problem."
Enterprise companies post-M&A
"We acquired two companies. We now have three data warehouses with overlapping, inconsistent data. AI is giving us different answers."