Role description:
(Please include a brief outline of the impact this role will have, including overview of customer industry and projects, access to cutting-edge technology etc.)
•10-15 years of experience across Martech/Adtech
•Demonstration of a high degree of proficiency in designing and developing and overseeing the implementation of Retail Media Networks
•Experience in designing marketing technology architectures, data and technology workflows and marketing technology operation model enablement.
•Experience and ability working with senior marketing executives across organizations to help steer the strategic direction to build the future state of Adtech capabilities.
•Experience with integrating Martech and adtech platforms, with an understanding of how technology platforms integrate with media buying platforms (Programmatic and Non-programmatic)
•Hands on experience in architecture and design of marketing, advertising and data platforms
•Ability to perform current state technology and data assessments, identify gaps and co-create the future state blueprint with the client
•Experience in supporting Adtech investment business case
•Understanding of Campaign audit, Performance Evaluation to find opportunities to meet revenue and ROAS targets, drawing attention to potential problems before they occur
•Bring innovation to role and implement testing initiatives in key areas such as ad creative, messaging and layout, beta testing, A/B testing and more
Key responsibilities: (Up to 10, Avoid repetition)
1. Solution Architecture & Design
• Design scalable and high-performance AdTech systems, including Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), Data Management Platforms (DMPs), and Retail Media Networks (RMNs).
• Ensure seamless integration between AdTech platforms, Customer Data Platforms (CDPs), and analytics systems.
• Architect audience segmentation, targeting, and personalization solutions.
2. Ad Serving & Monetization
• Define the ad serving infrastructure, including ad decisioning, frequency capping, and real-time bidding (RTB) logic.
• Optimize programmatic and direct ad monetization strategies.
• Support implementation of header bidding, contextual targeting, and native advertising.
3. Data & AI-Driven Advertising
• Design data pipelines to aggregate and process first-party, second-party, and third-party data.
• Enable AI/ML models for predictive analytics, lookalike modeling, and dynamic creative optimization (DCO).
• Ensure compliance with data privacy regulations (GDPR, CCPA, etc.).
4. Integration & API Management
• Develop and maintain APIs for ad inventory management, campaign setup, and reporting.
• Integrate third-party AdTech tools such as Google Ads, The Trade Desk, Xandr, and LiveRamp.
• Ensure interoperability across ad networks, exchanges, and media platforms.
5. Performance Optimization & Scalability
• Monitor and improve ad performance (e.g., CTR, CPM, ROAS).
• Scale the infrastructure to support high ad traffic volumes with low latency.
• Implement caching strategies, CDNs, and load balancing for better ad delivery.
6. Compliance, Security & Privacy
• Implement security best practices for ad fraud prevention and brand safety.
• Enforce privacy-compliant audience targeting using clean rooms and encrypted IDs.
• Ensure adherence to IAB (Interactive Advertising Bureau) standards and MRC (Media Rating Council) guidelines.
7. Stakeholder Collaboration & Strategy
• Work with product managers, engineers, and data scientists to build AdTech capabilities.
• Align AdTech architecture with business objectives and revenue goals.
• Support go-to-market strategies for new advertising solutions.
Key skills/knowledge/experience:
• Familiarity with Google Ads, The Trade Desk, Xandr, Criteo, LiveRamp, Amazon Advertising, Meta Ads, and other programmatic platforms.
• Experience with Data Management Platforms (DMPs) and Customer Data Platforms (CDPs) for audience targeting.
• Knowledge of header bidding, real-time bidding (RTB), and ad mediation strategies.
• Understanding of AI/ML-driven ad optimization, including Dynamic Creative Optimization (DCO).
• Experience with clean rooms (Google PAIR, Amazon Marketing Cloud, LiveRamp Safe Haven).
• Familiarity with VAST, VPAID, MRAID, and OpenRTB protocols for video, display, and native ads.
• Knowledge of ad viewability, measurement (MRC standards), and brand safety solutions.
• Cloud & Infrastructure: AWS, Azure, or Google Cloud for hosting AdTech solutions.
• Big Data & Analytics: Experience with Spark, Hadoop, BigQuery, Snowflake, and Databricks for ad data processing.
• APIs & Integrations: RESTful APIs, GraphQL, and knowledge of ad server SDKs for mobile and CTV.
• Expertise in CPM, CPC, CPA, ROAS, and LTV modeling.
• Understanding of direct-sold vs. programmatic ads and private marketplaces (PMPs).
• Knowledge of GDPR, CCPA, IAB Transparency & Consent Framework (TCF).
• Implementation of privacy-safe advertising, including Google Privacy Sandbox, Apple ATT, and UID 2.0.
• Ad fraud prevention techniques (bots, invalid traffic detection, viewability tracking).
• Ability to align AdTech architecture with business goals and revenue strategies.
• Collaboration with marketing, product, engineering, and data science teams.
• Strong communication skills to work with advertisers, agencies, and ad partners.
