SVP/VP, AdTech Lead, Performance Marketing Platforms
dbs · Singapore
Job description
About the role
Group Marketing & Communications at DBS builds, protects and enhances the DBS brand through integrated digital communications, marketing and research. This is a hands-on product and platform leadership role, not a day-to-day campaign operations position. The successful candidate will build and scale DBS's in-house performance marketing platform and controls, own the AdTech product strategy and architecture, and create a hybrid operating model that reduces unnecessary agency reliance while keeping access to specialist expertise.
Key responsibilities
- Define the target operating model, product strategy, architecture, backlog and success measures for performance marketing platforms, AdTech and AdOps
- Establish DBS-owned account, access and campaign structures across Google, Meta, LinkedIn, TikTok and approved programmatic platforms, with controls for agency and market access
- Define automation, machine learning and AI capabilities for scalable media planning, targeting, bid optimisation, creative generation and performance optimisation
- Turn marketing needs into solution designs, API and data requirements, event schemas and acceptance criteria, delivering with Technology, Data Engineering, Analytics and platform partners
- Enable paid-media requirements with in-house creative automation, including channel specs, reusable templates, metadata, testing frameworks and governance for AI-generated content
- Set AdOps standards for trafficking, naming, permissions, tags, pixels, events, feeds, conversion validation, launch QA, budget controls, brand safety and change management
- Lead the roadmap for first-party audience activation, exclusions, server-side tagging, conversion APIs, enhanced and offline conversions and media-platform feedback loops
- Define the conversion framework and closed-loop measurement covering attribution, incrementality, experimentation, automated bidding and value signals, and own the technical requirements for signal quality with Data Engineering
- Decide which repeatable activities run internally and which stay with agencies, setting service levels, decision rights, handoffs and scorecards
- Align senior stakeholders across Marketing, Technology, Data, Analytics, Risk, Legal, Procurement, markets, agencies and media platforms, and own investment cases and delivery governance
Required profile
- 12+ years in performance marketing, paid media, AdTech, AdOps or digital platform product leadership, including enterprise-scale transformation and delivery
- Proven leadership across Marketing, Technology, Data Engineering, Analytics, external platform or agency partners
- Demonstrated experience designing or improving an in-house or hybrid performance-media operating model, including agency transition
- Experience in financial services or another regulated environment strongly preferred
- Strong understanding of Data Science, Machine Learning and AI, including generative AI and agentic workflows
Required skills
- Deep knowledge of Google Ads, Google Marketing Platform, Meta Ads Manager, LinkedIn Campaign Manager, TikTok Ads and programmatic platforms
- Hands-on understanding of Google Ads API, Meta Marketing API, LinkedIn Advertising API, GA4, Google Tag Manager, server-side tagging, AppsFlyer and audience-activation platforms such as Tealium
- Ability to read API documentation, JSON payloads, event schemas and integration logs, and to shape prototypes and assess production readiness
- Practical experience governing AdOps, tagging, audience onboarding, feeds and conversion validation
- Knowledge of automated bidding, attribution, incrementality, closed-loop optimisation, access governance, privacy, brand safety and change and incident controls
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Published 2 hours ago
Expires 1 month from now
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dbs
Singapore
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