Skip to content
Sitecore

Data Governance Manager

Kuala LumpurHybrid · Malaysia
Manager · FullTime · Corporate IT
POSTED 2 NOV
Apply Ask
Role
8 days opentrue age
Posted 2 Nov
CompanySitecore →
28open roles
Opened · 30d
+0
Closed · 30d
−0
30d window
Market
73,313open · Manager Other
Opened · 7d
+5,6948% of open
All other
624,585open
All tracked boards · live 10 Nov · n=73,313

About Us

At Sitecore, our mission is to simplify how brands reach, engage, and serve people by delivering intelligent, personalised digital experiences that connect the world. We empower the world’s most iconic brands to build lifelong relationships with their customers—seamlessly, smartly, and at scale.

As the leading provider of agentic digital experience software, Sitecore brings together content, commerce, and data into one composable platform that enables brands to deliver millions of meaningful, adaptive experiences every day. Trusted by global leaders such as American Express, Porsche, Starbucks, and L’Oréal, Sitecore helps brands transform engagement through experiences that are not only personalised but predictive and dynamic.

Our foundation is our people—a diverse, passionate, and collaborative global team spanning over 25 countries. We believe that every experience matters, and that belief starts with how we work together. Our values guide how we lead, innovate, and connect. They are the behaviors that bring our mission and vision to life, every day, in every interaction.

As we continue to evolve, we are actively cultivating AI skills across our teams to unlock new levels of creativity, efficiency, and insight. From engineering to customer experience, AI capabilities are becoming integral to how we design, build, and deliver the next generation of digital experiences.

Learn more at Sitecore.com

About the Role

We are seeking a Data Governance Manager to establish and uphold Sitecore’s enterprise data governance framework, ensuring our data is well‑governed, high‑quality, compliant, and responsibly managed.

In this role, you will lead the operationalisation of data governance practices across data security, protection, and quality within Microsoft Fabric. Your work will enable agentic AI, self‑service analytics, and data science to operate on reliable, well‑governed data in alignment with Sitecore’s data strategy. You will partner closely with Information Security, Data Protection, Data Engineering, and business stakeholders to embed governance into the core of our data ecosystem, ensuring regulatory compliance and adherence to Sitecore’s security and data protection policies.

What You’ll Do

Data Security

Partner with InfoSec to define and apply the required security principles across all Microsoft Fabric data sources.

Lead the implementation of robust data security guidelines and access controls to ensure governed, auditable, and least privilege access to data.

Apply granular security controls such as access controls, sensitivity labels, encryption, masking, and role‑based access to safeguard sensitive data assets.

Review and optimise current roles and cross‑team access to maintain secure and scalable data accessibility.

Assess and manage the security implications of Agentic AI initiatives (ex. Fabric Data Agents, Copilot Agents) and machine learning use cases.

Data Protection, Privacy & Regulatory Compliance

Ensure Fabric Lakehouse compliance with GDPR, privacy‑by‑design principles, and internal privacy and retention policies throughout the data lifecycle.

Champion lawful processing, data minimisation, and transparency, ensuring compliance with regulations while enabling effective data utilisation.

Establish and maintain data retention and lifecycle governance, ensuring alignment with regulatory and legal requirements.

Partner with Data Protection and InfoSec to ensure that privacy expectations and obligations are consistently met.

Operationalise Microsoft Purview for classification, retention, sensitivity, and policy enforcement across the enterprise.

Data Quality Management

Establish enterprise‑wide data quality frameworks across granular datasets, aggregated layers, semantic models, and pipelines.

Implement data quality rules, validation checks, thresholds, anomaly detection, and automated alerting to proactively identify and resolve issues.

Monitor data volume trends and system health metrics to ensure reliable and high‑quality data for analytics, reporting, and AI workloads.

Source · SitecoreFirst seen 7 NovOriginal ↗