Data Classification and Labeling Specialist

2 months ago

Sydney, New South Wales, Australia WSP Global Inc. Full time
About the Role

We are seeking a highly skilled Data Classification and Labeling Analyst to join our Security Engineering and Operations team at WSP Global Inc.

The successful candidate will be responsible for accurately classifying and labelling large datasets to support our machine learning and data analysis initiatives.

Key Responsibilities
  • Refine data discovery, classification, and labelling requirements
  • Develop internal data process / placement mapping
  • Define classification and labelling schema and lifecycle handling policies
  • Identify gaps in the current solution and identify additional tooling required
  • Select, implement, and configure solutions to scan, map, classify, and label WSP's data holdings
  • Configure solution to enable automated and manual sensitive data labelling for M365 apps and services
  • Prioritize and onboard data sources for scanning
  • Execute scans, build data maps, and tune classifications
  • Develop policies and procedures to communicate, operationalize, and sustain discovery, classification, and labelling capabilities
Requirements
  • 7+ years related experience in data management or similar position
  • Bachelor's degree or equivalent in Information Technology, Computer Science, Engineering, data sciences, or related field
  • Proficiency in data analysis tools and software (purview)
  • Familiarity with machine learning concepts
  • Strong analytical skills with a keen eye for detail and accuracy
  • Experience with IT Governance frameworks such as COBIT, ITIL and ISO 2700x, NIST
  • Experience with governance, compliance, and audit within IT environments
  • Knowledge of information security regulations applicable to WSP
What We Offer

At WSP, we want you to thrive in a culture celebrating different perspectives. With access to global scale and reach, you'll connect with the brightest minds in the field to make the best work of your life.

We believe that in imagining a better future for us all, you'll imagine a better future for you.

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