Thomson Reuters
PrivacyEngineer-Consent&EnterpriseID
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Privacy Engineer - Consent & Enterprise ID at Thomson Reuters. Skills: Privacy Engineering, Consent Management, Digital Compliance. Own design configuration governance. Define enforce standards”
Industry & Context.
Root cause analysis; Troubleshooting; Gap analysis
What They're Looking For.
Must Have
5-7 years experience, 5+ years privacy engineering, 5+ years consent management, 5+ years digital compliance, Hands-on CMP experience, Working knowledge GDPR, Working knowledge CCPA/CPRA, Working knowledge CASL, Familiarity consent signals integration, Attention to detail, Manage compliance large portfolio
Nice to Have
Experience designing preference centers, Experience operating preference centers, Experience designing subscription platforms, Experience operating subscription platforms, Familiarity marketing technology platforms, Understanding dynamic web form design, Experience tag management systems, Familiarity Google Consent Mode v2, Familiarity privacy link accessibility, Familiarity WCAG requirements, Experience B2B enterprise software
What You'll Do.
Own design configuration governance
Define enforce standards
Translate jurisdictional requirements
Partner with Marketing Product Legal
Own consent signal chain
Validate preference opt-out signals
Drive operationalization preference center strategy
Define signals captured
Connect signals marketing execution
Own domain compliance inventory
Take technical ownership scanning pipeline
Drive pipeline production run
Maintain detection logic
Coordinate data engineering
Govern shared compliance layer
Lead cookie tracker categorization
Lead remediation workflows
Maintain consent inventory accuracy
Ensure new domains scanned
Ensure new domains categorized
Ensure new domains onboarded
Support go-live validation
Ensure mechanisms correctly implemented
Apply AI tools automate workflows
Identify opportunities reduce manual effort
Contribute program strategic initiative
Establish CMP enterprise system
Apply marketing consent expertise
Inform architecture decisions
Inform integration requirements
How You'll Work.
Team & Collaboration
Partner with Marketing; Partner with Product; Partner with Legal; Coordinate with data engineering; Work closely Enterprise Identity
Full Job Description
### **About the Role:** * ### Own the design, configuration, and governance of TR’s marketing consent controls across all digital properties — including preference centers, dynamic web forms, consent banners, and opt-in/opt-out mechanisms for marketing communications. * ### Define and enforce standards for privacy link placement and behavior across TR’s marketing domains, including Do Not Sell/Share links, privacy notices, cookie policy links, and unsubscribe mechanisms. * ### Translate jurisdictional consent requirements (opt-in, opt-out, hybrid) into accurate CMP configurations — geolocation rules, consent categories, banner templates, and script generation for test and production environments. * ### Partner with Marketing, Product and Legal to ensure that any campaign, workflow, or marketing feature that relies on targeting individuals for marketing purposes meets applicable global consent requirements. * ### Own the consent signal chain from collection through to marketing activation — validating that preference and opt-out signals are correctly passed to downstream platforms including CRM, marketing automation, and data platforms. Work closely with the Enterprise Identity function to ensure identity anchors consent signals correctly, including how authenticated user identity is resolved and associated with consent records across channels. * ### Drive the operationalization of TR’s preference center strategy, defining what signals are captured, how they are structured, and how they connect to marketing execution systems. * ### Own TR's domain compliance inventory — the authoritative, multi-team record of the organization's digital estate and its consent, accessibility, and web governance obligations across thousands of properties. Take technical ownership of the automated Python-based domain scanning pipeline: drive it from its current manual cadence to a reliable scheduled production run, maintain detection logic as new consent tools and tracker patterns emerge
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