Technical Data Governance Manage

JOB PURPOSE

• Owns the technology relationships up to CxO level & supports technology thought leadership.
• Collaborates, consults and provides ONE system standards, best practices and guidelines and overall architectural principles, frameworks, and standards in an engagement.
• Drives research, case studies, and prototypes on leading-edge technologies and how they can be leveraged.
• Develops POCs to evaluate new technologies and makes recommendations.
• Designs and/or proposes enhancements to improve the performance, availability and reliability of the system architectures.
• Ensures that we are continuously raising our standard of engineering excellence.
• Being a member of the Architecture Committee in ONE to facilitate AC meetings with internal and external technical stakeholders and SMEs.
• Assist and supporting the lead architects to research & develop the Enterprise IT Roadmap
• Lead the technical strategy, design, and operationalization of our enterprise data governance platform.
• Bridge the gap between business compliance requirements and modern technology stack architecture.
• Automate data discovery and establish automated data quality pipelines.
• Bridge the gap between business compliance requirements and modern technology stack architecture.
• Enforce access control policies and manage metadata frameworks across cloud-native environments, multi-tenant SaaS products, and enterprise data platforms.

PRIMARY JOB RESPONSIBILITIES (Describe the major responsibilities of this position) Duties and Responsibilities Governance Platform Architecture & Automation:

• Design, implement, and maintain the technical infrastructure supporting data governance, compliance, metadata management, and dynamic data lineage.
• Lead evaluation, integration, and management of enterprise data governance tools (e.g., Collibra, Google Knowledge Catalog).
• Automate metadata ingestion, data dictionary creation, and schema mapping across cloud data platforms (BigQuery, Snowflake).

Implement automated RBAC, ABAC, row/column-level security, and dynamic data masking in coordination with InfoSec. Data Observability & Quality Engineering:

• Establish automated data quality frameworks, integrating continuous data observability tools into CI/CD pipelines.
• Define and monitor technical Data Quality SLAs (completeness, accuracy, freshness, lineage) for core business domains.
• Partner with Data Engineers to implement automated data retention, archiving, and deletion workflows for privacy regulations (GDPR, CCPA, PDPA).

Technical Leadership & Cross-Functional Collaboration:

• Lead and mentor a team of Data Governance Engineers, Technical Data Stewards, and Data Analysts.
• Embed "Governance-by-Design" principles into software development and product engineering life cycles.
• Collaborate with Legal, Risk, and InfoSec teams to operationalize regulatory rules into programmatically enforceable technical policies.

Create developer-friendly documentation, API specs for governance tooling, and architectural SOPs. POSITION QUALIFICATIONS AND REQUIREMENTS (To be fully competent in the job)

1. Special Skills (Computer skills, quality knowledge, special programmes)

• Governance & Cataloging: Collibra, Good Knowledge Catalog
• Data Stack: BigQuery, Snowflake, Databricks
• Programming & Scripting: Python, Java
• Security & Observability: IAM, Okta, DevSecOps,
• Certifications: DAMA CDMP, ISACA CDPSE, CISA, or AWS/GCP/Snowflake Certifications (preferred)

1. Preferred Education

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or related field.

1. Work Experience (years of experience in the industry and functional area)

• 10–13 years of experience in Data Engineering, Data Architecture, or IT Management.
• At least 5+ years directly leading technical data governance initiatives.
• Hands-on experience implementing data governance within a Data Mesh or decentralized data platform model is preferred.