Data Governance Lead

The Data Governance Lead will build and run the governance capability of AHEAD’s Data Platform Team — hands‑on. This is not a standards‑writing or policy‑committee role. The Lead will define governance standards and then implement them directly: building the catalog, wiring lineage, writing quality checks into pipelines, configuring access policy at the platform level, and embedding governance controls into every data product before it is published.

The role sits within the Data Platform Team, reporting to the Director, Data Platform. The Lead is a direct execution partner to the Director, responsible for making governance tangible and operational across every domain connection, data product, and pipeline the team owns. Governance here is an engineering discipline as much as a policy one — the Lead is expected to write, configure, and ship alongside the engineers they work with.

The Data Governance Lead will help the team deliver on its federated product model, its domain connection contract standards, its lineage and classification requirements, and its AI‑safe data use controls. This leader will also build and lead a small governance function over time as the platform matures.

Platform governance execution — define and build

• Build and operate the enterprise data catalog: onboard domains and data products, define and enforce metadata standards, and ensure every published product in the platform catalog has complete owner, SLA, classification, lineage, and contract documentation.
• Implement automated lineage capture across ingestion pipelines, medallion transformations, and data product publication
• Write and maintain data quality rules at the pipeline level: define the checks, implement them in Bronze/Silver/Gold processing layers, configure alerting, and own remediation workflows when quality thresholds are breached.
• Configure and enforce Snowflake‑level governance controls: role design, row‑and column‑level security, data classification tags, masking policies, and access policy enforcement — working directly in the platform.
• Build the access request and approval workflow for domain connections — the self‑service path that lets consumers discover what they can access, request what they cannot, and receive the right scoped access without manual escalation.
• Implement event contract governance: define schema standards, configure schema registries, set retention and access policies on domain event streams, and ensure event contracts are documented and enforced at the connection layer.
• Build and maintain governance dashboards and metrics: stewardship coverage, quality pass rates, metadata completeness, lineage coverage, policy adoption, and access request SLA — instrumented, not reported manually.

Standards, operating model, and policy

• Define and own the enterprise data governance strategy, standards, and roadmap in alignment with the Data Platform strategy and business priorities — then execute against it personally and through the team.
• Establish the governance operating model: stewardship roles and expectations across business and technology teams, decision rights, escalation paths, policy lifecycle, and governance forum cadence.
• Own the enterprise agenda across data ownership, stewardship, quality, metadata, lineage, cataloging, classification, retention, and policy adoption.
• Define governance standards for how data is created, documented, classified, accessed, shared, retained, and monitored — then implement those standards into platform tooling and processes
• Define and implement the federated product review gate: the governance standards a domain‑team‑contributed data product must meet before the core team promotes it into the shared catalog. Own the review process and execute it.
• Design and implement policy‑aware controls for AI and Agent Operations: data usage guardrails, sensitive‑data handling, access requirements, traceability of context, auditability of actions, and safe use of governed write‑back patterns.
• Work with Security, Risk, Legal, and Architecture leaders to align governance policies and controls with privacy, security, compliance, and enterprise standards.
• Drive…