Data Classification and Labeling Specialist

3 weeks ago

Stockholm, Stockholm, Sweden WSP Sverige Full time
Job Summary

We are seeking a detail-oriented Data Classification and Labeling Analyst to join our Security Engineering and Operations team at WSP Sverige. The successful candidate will be responsible for accurately classifying and labeling large datasets to support our machine learning and data analysis initiatives.

Key Responsibilities
  1. Refine data discovery, classification, and labeling requirements, including data sources, data/file types, and integrations.
  2. Develop internal data process/placement mapping and define classification and labeling schema and lifecycle handling policies.
  3. Identify gaps in current solutions and recommend additional tooling required.
  4. Select, implement, and configure solutions to scan, map, classify, and label WSP's data holdings.
  5. Configure solutions to enable automated and manual sensitive data labeling for M365 apps and services, including mail flow rules.
  6. Prioritize and onboard data sources for scanning, including structured and unstructured data across applications, databases, file shares, and cloud storage.
  7. Execute scans, build data maps, and tune classifications.
  8. Develop policies and procedures to communicate, operationalize, and sustain discovery, classification, and labeling capabilities.
Leadership and People Responsibilities
  1. Develop positive working relationships with team members and business partners to align with internal and external client demands.
  2. Provide feedback on governance processes for continued improvement.
Finance/Budgetary Responsibilities
  1. Provide feedback on tooling and identify additional needs.
  2. Plan for the expansion of security tools to cover ongoing needs.
  3. Evaluate license usage and potential growth.
Requirements
  1. 7+ years of experience in data management or a similar position.
  2. Bachelor's degree or equivalent in Information Technology, Computer Science, Engineering, Data Sciences, or a related field.
  3. Proficiency in data analysis tools and software, including Purview.
  4. Strong analytical skills with a keen eye for detail and accuracy.
  5. Experience with IT Governance frameworks such as COBIT, ITIL, and ISO 2700x, NIST.
  6. Experience with governance, compliance, and audit within IT environments.
  7. Experience in risk management, including risk analysis, mitigation, and monitoring.
  8. Knowledge of information security regulations applicable to WSP.
Preferred Qualifications
  1. Master's degree in Information Technology, Computer Science, Engineering, Data Sciences, or a related field.
  2. Microsoft Data Analyst Associate certification, Data+ or equivalent.

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