Consent & Privacy Management (CPM) Solutions Engineer

Consent & Privacy Management (CPM) Solutions Engineer

Lead the end-to-end delivery of enterprise privacy technology solutions from requirements gathering and solution design through configuration, integration development, testing, deployment, operational readiness, documentation, and knowledge transfer to support teams.

Architect, configure, and deploy our Consent Management Platform (e.g., Syrenis, Ketch, One Trust, or similar) across web, mobile apps, and portal experiences.

Design and implement scalable integrations between privacy platforms and enterprise systems, including identity and access management (IAM), CRM, customer data platforms (CDPs), marketing platforms, data warehouses, analytics solutions, and downstream business applications to ensure consistent enforcement of privacy preferences across the technology ecosystem.

Establish standardized onboarding patterns, integration frameworks, governance processes, and implementation playbooks that enable new applications and business services to be efficiently onboarded to the privacy platform while maintaining consistency, scalability, and compliance.

Develop reusable processes, technical standards, support models, and monitoring capabilities to drive sustainable platform operations and accelerate adoption across the enterprise.

Define consent categories (Strictly Necessary, Performance, Functional, Targeting/Advertising) and establish clear data lineage for user preferences.

Integrate consent signals with Google Tag Manager (GTM), Segment, Adobe Experience Platform, or Server-Side Tagging to dynamically trigger/block scripts based on real-time consent choices (Google Consent Mode v2, IAB TCF 2.2, etc.).

Partner with Marketing, AdOps, and Analytics teams to analyze opt-in rates, minimize attribution loss, and implement privacy-first tracking strategies (e.g., Server-Side GTM, Conversion APIs / CAPI).

Collaborate with Digital Marketing and UX teams to design intuitive cookie banners and granular Preference Centers that optimize opt-in rates while remaining strictly compliant with global privacy frameworks (GDPR, CCPA/CPRA, Virginia CDPA, etc.).

Design data pipelines to sync preference choices back to enterprise systems (CRM, CDP, Data Warehouse / Snowflake, Marketing Automation platforms like Salesforce Marketing Cloud or Marketo).

Build analytics dashboards to track consent opt-in/opt-out rates across geolocations, domains, and entry points, identifying technical anomalies or UX friction points.

Establish continuous automated scanning processes to audit third-party tags, scripts, and cookies, eliminating "rogue" unclassified scripts.

5+ years of hands-on experience in Digital Analytics, Mar Tech, or Data Engineering, with at least 3+ years dedicated to Consent Management Platforms (CMP).

Deep hands-on configuration experience in enterprise CMP tools (Syrenis, One Trust, Ketch, Cookiebot, or Didomi).

Technical Proficiency:

• Advanced Tag Management skills (Google Tag Manager, Tealium, or Adobe Launch).
• Strong proficiency with JavaScript, HTML, CSS, and browser storage mechanisms (Cookies, Local Storage, IndexedDB).
• Experience with API integrations (REST, Webhooks) for syncing consent states to backend databases.
• Familiarity with SQL for analyzing consent event datasets.

Strong understanding of technical compliance requirements including GDPR, CCPA/CPRA, IAB TCF 2.2, Global Privacy Control (GPC), and Google Consent Mode v2.

Background in Server-Side tagging and modern privacy-safe identity solutions.

Hands-on experience working with AdTech/Mar Tech tools (Google Analytics 4, Meta CAPI, Google Ads, Meta Pixel, CDPs like Segment/Tealium).

Preferred Qualifications:

• Certified Privacy Professional or similar technical certification.
• Experience implementing CMP solutions within complex multi-brand, multi-domain, or multi-region enterprise environments.
• Prior experience in financial services or other highly regulated industries.