[Hiring] Data Governance Lead @Sparix Global.

Role Description

The Data Governance Lead is a senior advisory role central to the delivery of governance-specific outputs and will be the primary author of the operating model, classification framework, minimum standards, control assessment, and risk register.

• Lead the design and implementation of end-to-end Data Governance, starting with defining an Operating Model tailored to customer-specific organizational structures, including role definitions (Data Owner, Data Steward, System Owner, Data Custodian), decision rights, governance forums, RACI mappings, and embedment guidance.
• Develop the Data Classification Model, including tier definitions, handling rules, and a practical classification decision guide applicable across client systems and vendor relationships.
• Author the Minimum Data Standards Pack, covering ownership, classification, integration, audit logging, retention, privacy, and vendor management standards, with measurable compliance criteria for each.
• Conduct and document the Current-State Control Assessment across seven control domains (Discover Catalog, Lineage, Data/App, Access Management, Audit Logging, Data Protection, Retention and Lifecycle, Privacy Controls) for each priority system, applying a defined maturity scale and documenting evidence gaps explicitly.
• Populate and maintain the Data Risk Register, translating control and architectural gaps into business risks with likelihood and impact ratings, indicative ownership, and recommended remediation actions.
• Support the Data Architect in developing the Governance sections of the Architecture Baseline, including standard patterns to integrate with data governance platforms.
• Contribute governance design inputs to the Uplift Roadmap, including sequencing of governance initiatives.
• Drive governance-related stakeholder workshops and walkthroughs with data owners, IT leads, compliance, and operational stakeholders.
• Support the Executive Playback session, presenting governance findings and recommendations to leadership.
• Adhere to the Information Security Management policies and procedures.

Qualifications

• Bachelor's Degree
• Minimum 8 years of experience in Data Governance, Data Management, or Information Management roles, with at least 3 years in a senior advisory or lead capacity.
• Demonstrated experience designing and implementing end-to-end Data Governance in complex, multi-system enterprise environments.
• Strong knowledge of data classification frameworks, privacy obligations (including country-specific Privacy Principles), and data lifecycle management.
• Experience conducting control and risk assessments for data environments, including vendor-managed platforms and SaaS systems.
• Familiarity with regulated industries—experience in transport, utilities, rail, government, or similar safety-critical environments is strongly preferred.
• Experience working with vendor-managed data platforms and assessing governance obligations within third-party contracts.
• Strong written communication skills with the ability to produce board-ready, executive-quality deliverables independently.
• Proficiency with data governance frameworks such as DAMA-DMBOK, DCAM, or equivalent.

Requirements

• Exposure to AI governance considerations, including acceptable use, data reuse for AI, human oversight expectations, and vendor AI assurance.
• Experience in engagements involving physical access control systems, workforce competency data, or identity and medical data in a regulated context.
• Familiarity with systems such as ServiceNow, Acorn LMS, or similar enterprise platforms.