Adtech Manager

Job Description

Metadata Ownership (End to End)

Own the enterprise campaign taxonomy and naming convention standard across brands,

business units, and channels — including campaign, tactic, placement, creative,

audience, and destination metadata.

Define and maintain the metadata schema and controlled vocabularies that flow from

planning tools through ad servers, DSPs, and site/CRM analytics into our data platform.

Build and operate the governance process: intake for new values, change control,

deprecation, and versioning. Publish the standard and keep it usable, not theoretical.

Establish automated validation and QA — pre-flight checks on trafficking sheets, in-

flight anomaly detection, and post-campaign reconciliation between agency reporting

and GSK’s system of record.

Partner with Data Engineering to land clean, conformed metadata in Databricks and

Salesforce Data Cloud so that media, web, CRM, and Rx outcome data can be joined

reliably.

Serve as the arbiter when metadata disputes surface in measurement: diagnose where

the break occurred and drive it to permanent fix rather than manual patch.

Own the technical design and operation of DCO programs: creative variant matrices,

decisioning rules, audience-to-message mapping, and modular asset structures.

Translate brand and omnichannel journey strategy into executable DCO logic —

including sequencing, suppression, frequency, and next-best-content rules across

programmatic display, endemic/HCP networks, EHR, and email.

Partner with brand, creative agencies, and Medical/Legal/Regulatory to ensure every

dynamic variant and every possible assembled combination is approved-claim compliant

and traceable to an approved asset .

Manage feed architecture for DCO — product, audience, geo, and contextual feeds —

including data quality, refresh cadence, and failover behavior.

Design and run creative testing frameworks (multivariate, holdout, incrementality- friendly designs) and turn results into standing optimization practice.

Define measurement at the variant level so that creative performance is attributable and

reportable, not anecdotal.

Act as the primary technical liaison to media agencies and platform partners for

trafficking, tagging, integration, and troubleshooting.

Support and administer the ad tech stack: ad server, DSP and endemic platform

integrations, tag management, identity and onboarding, and clean room data exchange.

Own tagging architecture for paid media — impression, click, conversion, and view- through — including consent-aware deployment and alignment with client privacy and

cookie governance standards.

Run partner onboarding: data specifications, file transfer and API setup,

approach, QA acceptance criteria, and ongoing SLA management.

Triage and resolve production issues across the media supply chain — discrepancies,

tag failures, feed breaks, mismatched IDs — with clear root cause and preventive action.

Maintain documentation, runbooks, and enablement materials so that agency and

internal teams operate the standard without dependence on a single person.

A published, adopted metadata standard with measurable compliance across brands

and agency partners.

Reduced reconciliation effort and discrepancy rate between agency-reported and client

reported media performance.

At least one brand running production DCO with variant-level measurement and a

repeatable MLR-approved workflow.

Partner onboarding time measurably shortened through reusable specifications and QA

tooling.

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