Process improvement consultant guiding IT transformation for Wepoint’s business and public - sector clients. Optimizing processes, change adoption, governance, and performance measurement.
About the role
- Privacy Operations Engineer building privacy automation, integrations, and ROPA data infrastructure for Thomson Reuters. Supporting global privacy compliance across engineering, product, legal, and privacy teams.
Responsibilities
- Architect, build, and maintain tooling, automation, and data infrastructure for the global privacy program
- Design and maintain automation for data subject rights fulfillment, data discovery, data mapping, and privacy assessment triggering
- Build API and Power Automate integrations between privacy management platforms and internal systems
- Implement risk-based conditional logic and trigger workflows for PIAs, DPIAs, and TIAs
- Design automated redaction and exception-flagging pipelines with mandatory human review and audit logging
- Build automated, event-driven data flow inventories and data mapping pipelines feeding ROPA records
- Integrate data discovery and classification tools into ROPA infrastructure
- Implement drift detection reconciling ROPA records with discovery and mapping outputs
- Support privacy impact assessments through data flow diagrams and system/architecture review
- Partner with engineering and product teams on privacy-by-design and privacy-by-default controls
- Implement data retention and deletion requirements across structured and unstructured data
- Advise engineering teams on privacy and data protection architecture for products and features
- Build KPI dashboards and reporting pipelines for executive-ready privacy program metrics
- Monitor privacy tooling and automated process health and troubleshoot integration or data-quality issues
- Maintain governance over report definitions and automation/trigger rule changes
- Design automated DSAR routing, data-owner mapping, SLA tracking, and deadline escalation
- Build scalable DSAR automation and surge-capacity mechanisms for volume spikes
- Automate assessment intake quality through required fields, real-time validation, and reminders
Requirements
- 5-7+ years of experience in a data engineering, software engineering, or technical privacy/compliance engineering role
- Experience ideally supporting privacy or compliance operations at a global or multinational organization
- Strong proficiency in at least one programming/scripting language, such as Python or SQL
- Experience building and maintaining API integrations and automated workflows, such as Power Automate, custom scripts, or middleware
- Hands-on experience integrating privacy management platforms such as OneTrust, BigID, or Collibra with internal systems
- Experience with field mapping, assignment logic, bi-directional status synchronization, error handling, and logging
- Experience designing and maintaining automated data discovery and data mapping pipelines across structured and unstructured data sources
- Experience with AWS Macie, Azure Purview, database crawlers, or similar tools
- Experience implementing risk-based conditional logic and trigger workflows for PIA/DPIA/TIA assessments
- Experience building reporting and analytics pipelines, such as ADO Analytics or Power BI
- Solid understanding of privacy concepts including data minimization, purpose limitation, data subject rights, and retention
- Understanding of global privacy regulations including UK GDPR/EU GDPR, CCPA/CPRA, PIPEDA, or similar
- Experience with structured and unstructured data across multiple systems and cloud environments
- Strong systems-design thinking
- Strong troubleshooting and debugging skills across integrated systems
- Preferred: experience with privacy management platforms and their APIs/connector frameworks
- Preferred: CIPT certification
- Preferred: experience with AWS, Azure, or GCP cloud data infrastructure
- Preferred: experience building automated redaction/exception-flagging pipelines with human-review checkpoints
- Preferred: experience supporting DSAR automation at scale
- Preferred: experience designing event-driven data mapping architectures integrated with CMDB/asset inventory or cloud discovery tooling
Benefits
- Flexible hybrid working environment for office-based roles
- Flexible work arrangements, including work from anywhere for up to 8 weeks per year
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to the Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
- Two paid volunteer days off annually
- Opportunities to get involved with pro-bono consulting projects and ESG initiatives
- Annual Bonus may be available based on enterprise and individual performance
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