Consult

Prophecy Technologies

$110K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in Digital Analytics, MarTech, or Data Engineering.
  • 3+ years focused on Consent Management Platforms (CMP).
  • Hands-on experience with CMP tools like Syrenis, OneTrust, or Ketch.
  • Advanced skills in Tag Management (Google Tag Manager, Tealium).
  • Strong coding skills in JavaScript, HTML, CSS, and cookies storage.

Responsibilities

  • Lead the full delivery cycle of enterprise privacy technology solutions.
  • Architect and deploy Consent Management Platforms across various digital channels.
  • Design scalable integrations between privacy platforms and enterprise systems.
  • Establish standardized onboarding patterns and governance processes.
  • Define consent categories and maintain clear data lineage for user preferences.
  • Integrate consent signals with tools like Google Tag Manager and Adobe Experience Platform.
  • Analyze opt-in rates and implement privacy-first tracking strategies with Marketing and Analytics teams.

Benefits

  • Comprehensive health, vision, and dental insurance.
  • 401(k) plan with company matching contributions.
  • Flexible work hours and remote work options.
  • Continuing education and professional development opportunities.
  • Paid time off and holiday leave.
Full Job Description
Role Overview:

This role focuses on leading the end-to-end delivery of enterprise privacy technology solutions, encompassing requirements gathering, solution design, configuration, integration development, testing, deployment, and operational readiness. The Solutions Engineer will be responsible for architecting and deploying Consent Management Platforms (CMP) across various digital experiences and integrating them with enterprise systems to ensure consistent enforcement of privacy preferences.

Key Responsibilities:
  • 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 Consent Management Platforms (e.g., Syrenis, Ketch, OneTrust, 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.
  • Establish standardized onboarding patterns, integration frameworks, governance processes, and implementation playbooks for new applications and business services.
  • 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 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.

Required Skills:
  • 5+ years of hands-on experience in Digital Analytics, MarTech, or Data Engineering.
  • At least 3+ years dedicated to Consent Management Platforms (CMP).
  • Deep hands-on configuration experience in enterprise CMP tools (Syrenis, OneTrust, Ketch, Cookiebot, or Didomi).
  • Advanced Tag Management skills (Google Tag Manager, Tealium, or Adobe Launch).
  • Strong proficiency with JavaScript, HTML, CSS, and browser storage mechanisms (Cookies, LocalStorage, 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/MarTech tools (Google Analytics 4, Meta CAPI, Google Ads, Meta Pixel, CDPs like Segment/Tealium).

Qualifications:
  • 5+ years of experience in Digital Analytics, MarTech, or Data Engineering.
  • 3+ years dedicated to Consent Management Platforms (CMP).

Preferred Skills:
  • 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.

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