Data Governance Lead

Job not on LinkedIn

🕒 August 4

🇺🇸 United States – Remote

💵 $150k - $175k / year

⏰ Full Time

🟠 Senior

🎲 Risk

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Thinkahead Consultant Psychologist Pty Ltd

WebsiteLinkedInAll Job Openings

1 - 10 employees

🏥 Healthcare

💼 Consulting

📚 Education

Healthcare • Consulting • Education

Thinkahead Consultant Psychologist Pty Ltd is a privately owned psychology firm that operates in both the clinical and corporate consulting spaces. In the clinical setting, they provide psychological assessment and interventions to individuals, children, couples, and families, collaborating with local GPs and health organizations. In the corporate arena, Thinkahead partners with organizations to facilitate transformation and enhance performance through corporate wellbeing initiatives, leadership development, coaching, and culture enhancement programs. Their approach combines psychological principles with innovative business strategies to create constructive work cultures and high-performing teams.

📋 Description

• Build and operate the enterprise data catalog, including metadata standards and complete owner, SLA, classification, lineage, and contract documentation • Implement automated lineage capture across ingestion pipelines, medallion transformations, and data product publication • Write and maintain pipeline-level data quality rules, alerting, and remediation workflows • Configure Snowflake governance controls, including RBAC, row- and column-level security, classification tags, masking policies, and access enforcement • Build access request and approval workflows for domain connections • Implement event contract governance, schema standards, registries, retention policies, and access policies • Build governance dashboards and metrics • Define and execute the enterprise data governance strategy, standards, roadmap, operating model, and policy lifecycle • Own data ownership, stewardship, quality, metadata, lineage, cataloging, classification, retention, and policy adoption agendas • Define and implement federated product review gates and governance standards • Design policy-aware AI and Agent Operations controls, including data guardrails, sensitive-data handling, traceability, auditability, and safe write-back patterns • Align governance policies with Security, Risk, Legal, and Architecture leaders • Drive governance KPIs and measures • Work directly with platform engineers during delivery sprints to review designs and implement controls • Support domain teams in the federated contribution model and review submitted products • Define governance requirements for business definitions, reference data, master data, and entity resolution • Build workflows that reduce friction while maintaining platform quality and control standards • Build and lead a small governance function, hiring and developing governance engineers and stewards • Influence business and technology stakeholders to establish data accountability and disciplined data practices

🎯 Requirements

• Bachelor’s degree or equivalent experience • 8 or more years of experience across data governance, data platform engineering, data architecture, analytics engineering, or related roles • At least 3 years in a leadership or lead role with responsibility for governance programs, stewardship models, or cross-functional data operating frameworks • Experience building and operating governance capabilities in a modern cloud data platform environment • Hands-on Snowflake governance experience, including RBAC, row/column-level security, classification tags, masking policies, and access governance • Hands-on experience implementing data catalogs and lineage tools • Experience writing and maintaining data quality rules within data pipelines • Experience governing event contracts and schemas in streaming or messaging environments such as Kafka or MuleSoft • Experience defining and executing data product governance standards • Experience designing and implementing governance controls for AI or agent-based use cases • Experience working embedded within an engineering team and participating in delivery sprints • Strong understanding of data governance disciplines • Experience in regulated, security-sensitive, or compliance-driven environments strongly preferred • Strong communication skills • Strong systems thinking • Practical understanding of governance for AI, automation, and agent-based execution • Ability to safely and successfully perform essential job functions consistent with ADA, FMLA, and applicable standards • Ability to maintain regular, punctual attendance • Primarily office and computer-based work with standard technical leadership and collaboration expectations