SVP/VP, AdTech Lead, Performance Marketing Platforms, Group Marketing & Communications

Role Overview

This is a hands-on product and platform leadership role, not a day-to-day campaign operations position. The successful candidate should have the technical expertise to interpret API documentation, design solutions and requirements, lead prototypes, validate integrations, and approve production solutions with Technology and Data teams.

What You Will Do

Build and scale DBS’s in-house performance marketing platform, controls, and operating Own the AdTech product strategy, roadmap, AdTech architecture, AdOps standards, audience activation, measurement, and transition of selected repeatable media activities from agencies to DBS.

Why It Might Be a Fit

The successful candidate should have 12+ years across performance marketing, paid media, AdTech, AdOps or digital platform product leadership, including ownership of enterprise-scale transformation and delivery.

Requirements

• 12+ years across performance marketing, paid media, AdTech, AdOps or digital platform product leadership, including ownership of enterprise-scale transformation and delivery.
• Deep working knowledge of Google Ads and Google Marketing Platform, Meta Ads Manager, LinkedIn Campaign Manager, TikTok Ads and relevant programmatic platforms.
• Hands-on understanding of Google Ads API, Meta Marketing API, LinkedIn Advertising API and platform authentication, permissions, account hierarchies, campaign, audience, creative, reporting and conversion services.
• Working knowledge of GA4, Google Tag Manager and server-side tagging, AppsFlyer, conversion and event APIs, enhanced and offline conversions, audience matching and customer-data or audience-activation platforms such as Tealium.
• Ability to interpret API documentation, JSON payloads, event schemas, data mappings and integration logs; shape prototypes; diagnose defects; and assess implementation quality and production readiness.
• Practical experience establishing or governing AdOps across account setup, campaign trafficking, access, tagging, audience onboarding, feeds, conversion validation, launch QA and operational support.
• Proven leadership across Marketing, Technology, Data Engineering, Analytics, external platform or agency partners.
• Strong understanding of Data Science, Machine Learning and AI product development, including model lifecycle management, experimentation frameworks, predictive marketing, recommendation systems, generative AI and agentic workflows.
• Demonstrated experience designing or materially improving an in-house or hybrid performance-media operating model, including agency transition and capability transfer.
• Experience in financial services or another regulated environment is strongly preferred.
• Strong command of automated bidding, signal quality, campaign architecture, attribution, incrementality, experimentation and closed-loop optimisation.
• Knowledge of access governance, privacy, brand safety, media quality, change and incident controls, including governance for AI-generated advertising assets.

Benefits

• Dental insurance
• Vision insurance
• Medical insurance
• Health insurance
• Life insurance
• Disability insurance
• Retirement plan
• 401(k) plan
• Paid time off
• Vacation days
• Sick leave
• Family leave
• Parental leave
• Flexible work arrangements
• Telecommuting
• Flexible hours
• Job security
• Career development opportunities
• Training and development programs
• Mentorship programs
• Performance-based bonuses
• Stock options
• Equity participation
• Employee stock ownership plan (ESOP)
• Profit-sharing plan
• Bonus plan
• Commission plan
• Salary increase
• Salary freeze
• Salary reduction
• Severance package
• Outplacement services
• Career transition support