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Sr Manager Technical Solutions
Job in
White Plains, Westchester County, New York, 10601, USA
Listed on 2026-06-06
Listing for:
Heineken Global
Full Time
position Listed on 2026-06-06
Job specializations:
-
IT/Tech
Data Security, Data Engineer
Job Description & How to Apply Below
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Sr Manager Technical Solutions
Location:
White Plains, New York, United States
Function:
Digital & Technology
Role Purpose
The Tech Lead (Mar Tech) is the technical authority and hands-on leader for Heineken USA's Marketing Technology ecosystem. This role sets architecture and engineering standards, leads complex builds and integrations, and ensures platforms are secure, compliant, reliable, and scalable. Core scope includes Website/CMS, Digital Asset Management (DAM), Consent & Cookies (One Trust), Analytics & Tagging (GA4/GTM), Experimentation (Optimizely), Marketing Automation (Salesforce Marketing Cloud), Customer Data Platform (Blue Conic with potential migration to Salesforce Data Cloud), Customer Experience Management (CEM) patterns on Azure Data Lake and custom in-house applications
Key Responsibilities
Architecture & Technical Strategy
* Own end-to-end Mar Tech architecture, non-functional requirements, and reference patterns across CMS/websites, DAM, consent, analytics/tagging, experimentation, CDP, SFMC, and custom in-house application based on nodejs among other technologies.
* Define API contracts, event schemas, and data lineage; implement Infrastructure as Code (IaC), CI/CD, observability, and Zero Trust integration patterns (Azure preferred).
Website Management & CMS
* Serve as technical owner for brand websites and CMS platforms (e.g., Contentful, Umbraco, or equivalent).
* Define component architecture, headless APIs, CDN and caching strategies, localization, accessibility (WCAG), and Core Web Vitals performance standards.
Digital Asset Management (DAM)
* Own DAM platform architecture and operations, including metadata models, taxonomy, rights and usage, renditions, and asset lifecycle (ingest → approval → publish → archive).
* Integrate DAM with CMS, SFMC, experimentation platforms, and downstream channels.
* Automate asset governance (required metadata, expirations, licensing) and implement monitoring for broken links and failed publishes.
* Establish content governance (roles, workflows, retention) and improve asset findability and reuse through consistent tagging and AI-assisted enrichment where appropriate.
* Own and govern all associated tools for packaging workflow, POS management tool, asset customization etc.
Consent, Privacy & Cookies (One Trust)
* Implement and operate One Trust for granular consent and cookie management.
* Propagate consent state across GTM/GA4, CDP/Salesforce Data Cloud, SFMC, and Optimizely.
* Enforce privacy-by-design practices in partnership with Legal, including DPIAs, PII handling, data retention, and purpose limitation.
Analytics, Tagging & SEO (GA4/GTM)
* Govern the enterprise data layer and GTM taxonomy.
* Standardize GA4 events, cross-domain tracking, and (where applicable) server-side tagging.
* Define and codify technical SEO baselines (structured data, canonicalization, sitemaps, robots.txt) and automate validation within CI pipelines.
Experimentation (Optimizely)
* Architect and operate Optimizely for A/B/n and feature experimentation.
* Define experimentation guardrails, including exposure controls, statistical power, and sample ratio mismatch (SRM) detection.
* Integrate experimentation telemetry with GA4 and CDP under consent controls.
CDP Migration:
Blue Conic to Salesforce Data Cloud
* Inventory existing Blue Conic assets (profiles, segments, consent flags, data streams).
* Design target-state architecture in Salesforce Data Cloud, including identity resolution, unification rules, and consent alignment.
* Build batch and streaming ingestion, data quality guardrails, segment and activation parity, cutover and rollback plans.
* Lead decommissioning of Blue Conic per the approved migration plan.
Customer Experience Management (CEM) on Azure Data Lake
* Define CEM reference architecture using Azure Data Lake as the central repository for marketing and consumer touchpoint data.
* Implement ingestion and curation using Bronze/Silver/Gold layers, with schema management, versioning, lineage, and governed data access.
* Enable downstream consumption by CDP, SFMC, experimentation platforms, and BI tools.
Portal Development (Open…
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