Data Governance Lead

Hoya; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

HOYA is seeking a Data Governance Lead to define and drive the enterprise data-governance framework across divisions. You will own governance standards for data ownership, quality, master data, data products and lifecycle management, while guiding tool selection for MDM, data quality and data-product enablement.

You will partner with security, privacy, audit and line teams to embed governance into data platforms such as Microsoft Fabric and OneLake, developing dashboards to measure maturity and

Qualifications

• Bachelor’s degree in information management or related field.
• 6+ years in data governance with leadership experience.
• Strong English communication to diverse audiences.
• Ability to influence senior stakeholders across functions.

Responsibilities

• Define and maintain enterprise data-governance principles, policies and standards.
• Establish the data-governance operating model with ownership and roles.
• Set standards for master data management including reference data and lifecycle controls.
• Lead tool selection for MDM, data quality, cataloguing and data-product management.
• Define enterprise data-quality standards with supporting policies.
• Govern data products including ownership, contracts and service expectations.
• Set standards for glossaries, lineage, retention and privacy across the org.
• Partner with architecture to embed governance controls into platforms.
• Develop governance metrics and dashboards tracking maturity and value.
• Lead reviews, close gaps, manage exceptions and remediation.
• Build data literacy and stewardship through guidance and playbooks.
• Coordinate with privacy, security, risk and audit to stay aligned.

Skills

Data governance

Leadership

Stakeholder engagement

English proficiency

Education

Bachelor's degree

Tools

MDM platforms

Job description

The Data Governance Lead defines and drives HOYA's enterprise data-governance framework, so that data across divisions and corporate functions is trusted, well managed, secure and accessible. The role owns the governance standards and policies for data ownership, quality, master data, data products and lifecycle management. It also leads the evaluation and selection of tools and platforms for master data management, data quality and data-product enablement. The role works with security, privacy, audit and division teams to embed governance into HOYA's data platforms, processes and data initiatives.

Job Responsibilities

• Define and maintain enterprise data-governance principles, policies, standards, procedures, controls and decision rights, aligned with business, regulatory, privacy, security and technology requirements.
• Establish the data-governance operating model, including councils, domain ownership, data-owner accountabilities, escalation paths and clear expectations of each role.
• Set standards and best practices for master data management, covering golden records, matching and merging, hierarchy management, reference data, workflows and lifecycle controls.
• Lead the capability assessment, requirements definition and selection of tools and platforms for master data management, data quality, catalogue, lineage and data-product management.
• Define the enterprise data-quality standard, together with the supporting policies and best practices.
• Establish the governance framework for data products, including ownership, product definitions, data contracts, quality and service expectations, discoverability, access, lifecycle management and value measurement.
• Set standards for business glossaries, data classification, lineage, retention, access, privacy, security and responsible data use.
• Partner with architecture and engineering teams to embed governance controls into Microsoft Fabric, OneLake and other enterprise platforms.
• Develop governance metrics and dashboards that track data-governance maturity, adoption and business value.
• Lead governance reviews, identify control gaps and risks, oversee remediation and manage approved exceptions.
• Build data literacy and stewardship capability through guidance, training, communities of practice and reusable playbooks.
• Coordinate with privacy, security, legal, risk, audit and division teams so that data governance stays consistent and practical across HOYA.

Qualifications

• Bachelor’s degree in information management, data management, computer science, business, engineering or a related discipline.
• At least 6 years of experience in data management, data governance or related disciplines, including substantial leadership responsibility in a complex enterprise.
• Professional proficiency in English and the ability to communicate policies, standards and technical concepts clearly to varied audiences.
• Demonstrated ability to influence senior stakeholders, establish cross-functional operating models and drive adoption across business and technology teams.

Experience

• Deep knowledge of data governance frameworks, operating models, policies, standards, ownership and stewardship.
• Extensive experience designing master data management strategies, architectures and best practices across customer, product, supplier, employee or other enterprise domains.
• Proven experience assessing and selecting enterprise platforms for master data management, data quality, metadata, cataloguing, lineage and data-product management.
• Strong expertise in data-quality management, including profiling, rules, controls, scorecards, monitoring, issue management and remediation.
• Hands-on knowledge of MDM and data-quality platforms is preferred.Strong understanding of metadata, business glossaries, classification, lineage, privacy, security, retention and regulatory requirements.
• Experience establishing governance metrics, controls, assurance processes, issue escalation and exception management.
• Experience defining and governing data products, data contracts, service expectations and data marketplaces.
• Strong facilitation, change-management and communication skills, with experience building data literacy and stewardship communities.
• Experience implementing data governance in a federated global enterprise with diverse business domains and regulatory environments.