Role - Data Governance Lead

Job highlights

• 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
• Experience in engagements involving physical access control systems,workforce competency data,or identity and medical data in a regulated context.

Role - Data Governance Lead

Category Details Skills Mandatory Data Governance, Data Management, Data Lifecycle Management Skills Primary Data Governance, Data Management, Data Lifecycle Management Skills Good to Have AI Skills Qualification Bachelor s Degree Total Experience 8+ Years Relevant Experience 6+ Years Work Location TVM / Kochi / Remote Expected Date of Onboarding Immediate 15 Days

Job Purpose (Both Onsite / Offshore)

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.

Job Description / Duties and Responsibilities

• 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.

Job Specification / Skills and Competencies

• 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.

Desirable Skills

• 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.

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