OPENTEXT - THE INFORMATION COMPANY
OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.
AI-First. Future-Driven. Human-Centered.
At OpenText, AI is at the heart of everything we do--powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.
YOUR IMPACT
The Data Governance Manager is responsible for leading the design, implementation, and continuous improvement of the organization's data governance strategy. This role ensures data is managed as a valuable corporate asset through proper governance practices, enabling compliance, operational efficiency, and data-driven decision-making. The position requires a balance of leadership, communication, and technical data management skills.
WHAT THE ROLE OFFERS
Non-Technical Responsibilities (Strategic& Oversight)
Development and Implementation of the Data Governance Framework
Design, document, and operationalize a scalable Data Governance Framework aligned with organizational goals and regulatory requirements.
Define roles and responsibilities for data governance participants, including Data Owners, Data Stewards, and Data Custodians.
Creation of Data Governance Policies, Standards, and Processes
Author and maintain data governance policies, data standards, and control procedures across data domains (e.g., customer, product, finance).
Collaborate with legal, compliance, and business stakeholders to ensure alignment with internal policies and external regulations.
Monitoring and Control
Establish and execute governance control routines, including annual data certification, policy attestation, data domain health checks, and compliance monitoring.
Ensure data-related controls are integrated into broader risk management processes.
Education and Training
Develop and deliver training programs and materials for data governance stakeholders, including onboarding for Data Stewards and recurring sessions for Data Owners.
Promote data governance literacy across business units through workshops, webinars, and knowledge base development.
Reporting and Stakeholder Engagement
Provide regular updates and dashboards to the Data Governance Council and executive sponsors on data governance maturity, policy adherence, data quality, and remediation status.
Act as the primary liaison between data governance and data-consuming functions.
Technical Responsibilities (Operational& Tool-Based)
Metadata Management via Microsoft Purview
Create, maintain, and enhance metadata assets within MS Purview, including technical, business, and operational metadata.
Define and enforce metadata standards, manage data catalogs, and ensure completeness of metadata attributes across systems.
Document data lineage across key data flows to support traceability, regulatory reporting, and root cause analysis.
Tagging and Data Classification
Implement consistent tagging and data classification practices based on data sensitivity, usage, and regulatory impact.
Collaborate with Information Security and Privacy teams to support data protection initiatives.
Platform data and usage management
Match the data tagging and lineage with a "per functional area" view so that we can understand the services that are provided to each of our business domains
Define and implement a framework to understand the overall consumption of Fabric capacity and associate this with the costs
Implement an impact assessment framework to understand what will happen when we add new functionality and data to the central data platforms - covering data volumes, compute capacity and the resultant extra resources needed
Data Quality Management
Define and operationalize data quality dimensions (e.g., completeness, accuracy, timeliness) and associated metrics.
Design and maintain data quality rules and validations for priority data assets.
Coordinate data profiling, anomaly detection, and remediation activities with Data Stewards and Data Owners.
Develop periodic Data Quality Reports and dashboards, highlighting trends, anomalies, and remediation status.
Data Cleansing and Remediation Oversight
Oversee execution of data cleansing activities by business and IT teams, including root cause analysis and corrective/preventative actions (CAPAs).
Coordinate with upstream/downstream system owners to prevent reoccurrence of data quality issues.
WHAT YOU NEED TO SUCCEED
MNCJobz.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.