At a Glance
- Tasks: Design and implement data governance frameworks and standards for enterprise-level projects.
- Company: Join a leading consultancy focused on innovative data solutions.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on career advancement and skill development.
- Why this job: Make a real impact by shaping data governance strategies in a dynamic environment.
- Qualifications: Experience with data governance tools and strong stakeholder engagement skills.
The predicted salary is between 100240 - 122516 $ per year.
- Design and implement enterprise Data Governance frameworks, standards, policies, and procedures.
- Define governance operating models, decision rights, governance forums, and escalation paths.
- Establish governance roles including Data Owners, Data Stewards, Custodians, and Governance Councils.
- Develop governance roadmaps aligned with organizational data strategy and compliance requirements
- Lead implementation and configuration of Informatica Cloud Data Governance & Catalog.
- Configure business glossaries, metadata repositories, classifications, and governance workflows.
- Implement automated metadata harvesting and lineage capabilities.
- Enable integration with enterprise data platforms including Azure, Microsoft Fabric, Snowflake, Databricks, and SQL-based systems
- Metadata & Business Glossary Management
- Develop business glossaries and taxonomy models.
- Define ownership, stewardship, and approval workflows.
- Improve data discoverability and business understanding of critical data assets.
- Data Quality & Stewardship
- Define critical data elements and quality rules.
- Collaborate with business teams to establish data quality KPIs and monitoring processes.
- Support issue remediation and governance workflows.
- Drive Data Stewardship adoption across business units
- Capture and document end-to-end data lineage.
- Implement governance processes for data classification and sensitive data management.
- Support compliance requirements, audit requests, and regulatory reporting initiatives.
- Ensure adherence to privacy, security, and governance standards
- Stakeholder Management & Consulting
- Conduct governance workshops and stakeholder interviews.
- Gather and document governance requirements.
- Facilitate governance councils and working groups.
- Present governance metrics, recommendations, and progress updates to leadership teams.
- Mandatory Technical Skills
- Informatica Cloud Data Governance & Catalog (CDGC)
- Informatica EDC, Axon, and Data Quality
- Metadata Management
- Business Glossary Management
- Data Lineage and Impact Analysis
- Data Stewardship Processes
- Data Quality Frameworks
- Data Classification and Sensitive Data Management
- SQL and Data Analysis
- Understanding of Cloud Data Platforms (Azure, Microsoft Fabric, Snowflake, Databricks)
- Knowledge of Governance Operating Models and RACI
- Consulting & Functional Skills
- Data Governance Framework Design
- Governance Operating Model Definition
- Governance Process Design
- Stakeholder Engagement
- Business Analysis and Requirements Gathering
- Workshop Facilitation
- Data Governance Change Management
- Communication with Executive and Business Stakeholders
- #J-18808-Ljbffr
Data Governance Consultant in Sydney employer: Wipro
As a Computer Network and Systems Engineer with us, you'll thrive in a dynamic work environment that prioritises innovation and collaboration. We offer competitive benefits, a strong focus on employee development, and opportunities to work with cutting-edge technologies in a supportive team culture. Located in a vibrant area, our company fosters a sense of community and encourages professional growth, making it an ideal place for those seeking meaningful and rewarding employment.
We think you need these skills to ace Data Governance Consultant in Sydney
Data Governance Framework Design
Informatica Cloud Data Governance & Catalog
Metadata Management
Business Glossary Management
Data Lineage and Impact Analysis
Data Stewardship Processes
Data Quality Frameworks
