Marketing Technologist, Media Sales, AdTech

Kohl's

. Lead assigned KMN, Media Sales and AdTech workstreams .

Posted 10/14/2026full-timeUnited StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Retail Media Networks and AdTech platforms, with a strong focus on translating business needs into actionable technology requirements and process flows. Proficient in closed-loop attribution, media inventory optimization, and performance reporting to enhance campaign effectiveness and advertiser experience.

Highest-signal resume keywords

Retail Media Networks ExperienceAdTech Platforms KnowledgeClosed-Loop Attribution & ROAS FrameworksMedia Inventory OptimizationCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Business Requirements TranslationProcess Flows DocumentationUse Cases DevelopmentUser Stories CreationCampaign TraffickingPerformance ReportingData Clean Room IntegrationYield ManagementMedia PlanningOrder Management Systems

Soft Skills

Analytical SkillsOrganizational SkillsCommunication Skills

Tools & Technologies

Ad ServersRetail Media PlatformsDSPsCRM/CPQData Warehouse PlatformsBI/Reporting Tools

Industry Keywords

Media SalesAdTechCampaign LifecycleAdvertiser ReportingMeasurementAttributionMarket TrendsIntegration RequirementsCross-Functional TeamsAutomation

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead assigned KMN, Media Sales and AdTech workstreams
Translate business needs into requirements, process flows, use cases, user stories and decision-ready outputs
Document current-state processes, pain points, dependencies and future-state capability needs with cross-functional teams
Support design and implementation across the Kohl’s Media Network lifecycle, including media sales enablement, planning, catalog and rate cards, inventory, order management, campaign setup and trafficking, activation, measurement, advertiser reporting and financial reconciliation
Gather and document integration requirements across CRM/CPQ, retail media platforms, order management systems, ad servers, DSPs, third-party media channels, data platforms, clean rooms, measurement tools and advertiser reporting solutions
Analyze media inventory, order and campaign workflows to improve automation, scalability, yield, delivery quality and advertiser experience
Support closed-loop measurement, attribution, ROAS reporting, audience activation and privacy-safe data collaboration
Define pilot scope, business requirements, evaluation criteria, success metrics, testing plans and launch-readiness materials
Support performance reporting and value-realization measurement
Research RMN and AdTech platforms, vendors, market trends and emerging capabilities
Surface dependencies, risks, tradeoffs, prioritization concerns and cross-functional impacts
Own documentation including requirements, process maps, meeting outputs, research summaries, decision logs, presentations and KMN capability artifacts
Contribute to adjacent capability areas and evolving KMN priorities

Requirements

What you’ll need

Bachelor’s degree in Marketing, Business, Engineering, Information Systems, Analytics or a related field
2-3+ years of experience supporting or leading cross-functional technology, product, operations or transformation initiatives with increasing responsibility
2+ years of direct experience within Retail Media Networks, AdTech platforms, or Media Monetization tech stacks
Experience with core RMN/AdTech platforms, including ad servers, RMN platforms such as Criteo, DSPs, data clean rooms, and SF Media Cloud
2+ years of relevant experience supporting or leading end-to-end RMN, AdTech or media operations capabilities
2+ years of relevant experience supporting or leading Closed-Loop Attribution & ROAS frameworks and Data Clean Room integrations
2+ years of relevant experience with Yield Management & Media Inventory Optimization
Experience translating business and operational needs into technology requirements, process flows, use cases, user stories and implementation documentation
Working knowledge of the retail media ecosystem, including onsite, offsite and/or in-store media, campaign lifecycle, media inventory, advertiser reporting, and measurement or attribution
Familiarity with campaign performance metrics, including delivery, ROAS, attribution, utilization and/or yield
Experience with ad servers, retail media platforms, DSPs, order management systems, CRM/CPQ, clean rooms, data warehouse platforms and BI/reporting tools
Experience with media planning, inventory workflows, insertion orders, campaign trafficking, third-party media activation, billing/reconciliation or revenue-recognition processes
Strong analytical, organizational and communication skills
Ability to work effectively across business, technical and operational teams

Benefits

Comp & perks

Remote work option
Option to work remotely on Fridays for employees residing near Menomonee Falls, WI or New York City, NY