Director, Marketing and Ad Technology Solutions Architecture

3 days ago

Apply Now
Logo of Experian

Experian

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

10001 employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• Understand the D2C product and business roadmap, gaps and capabilities of the existing D2C technology and martech stack—to build a short, mid and long-term martech and adtech strategy according to ECS' strategic vision • Lead platform evaluations; work with technology team and external partners/vendors on assessment approach (pilot and validation) and investment cases • Lead the technology rollout, adoption, and value realization of selected platform(s) to enhance audience discovery, targeting, and orchestration for first and third-party use-cases, both on and off-property • Develop a strategic roadmap for platform and system integrations, cross-platform orchestration and personalization use-cases • Partner, lead meetings and communication between marketing and team members and technical teams to translate requirements into technical solutions • Lead both the team and peers across the organization, on MarTech / AdTech best practices and latest technologies, to promote high value outcomes • Support daily BAU and product roadmap workstreams; help urgent use-cases and custom approaches to tech/business problems

🎯 Requirements

• 10+ years of experience in Martech and AdTech; both in implementation and operations across different platforms and environments • POV on industry-leading MarTech / AdTech platforms, with ML, and GenAI use-case intersections • Experience with the Product Operating Model, Objectives and Key Results framework • Comfort and experience operating in both continuous development and sprint-based environments • Knowledge of GenAI/ML platform and opportunities, Data Management (Data lakes) Content Management Systems, DAMs, UX, and AWS cloud portfolio • Working knowledge of SaaS Platforms: Salesforce Marketing Cloud (preferred), Adobe, CMS', DSP/SSPs, ad Serving technology, data clean rooms; moderate SQL and data architecture • Lead conversations across a variety of levels, from executive and senior leaders, marketing, analytics, data science, to engineering teams • Demonstrated agreement building ability with business and technology partners

🏖️ Benefits

• Great compensation package and bonus plan • Core benefits including medical, dental, vision, and matching 401K • Flexible work environment, ability to work remote, hybrid or in-office • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

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