Responsibilities

• Lead a global platform engineering organization - setting direction, coaching talent, and building a culture where experienced engineers stay focused, energized, and doing their best work.
• Lead the strategy, roadmap, and end-to-end delivery of the digital marketing platform portfolio, including customer data platforms, marketing automation, personalization, consent management, and pipeline infrastructure.
• Lead personalization and decisioning capabilities across web, email, events, developer journeys, and content recommendations, with a focus on measurable customer and business outcomes.
• Scale self-service data and agentic analytics experiences, so marketers can access trusted campaign, audience, event, and account insights faster.
• Build and modernize scalable data pipelines that ingest, process, and unify customer, behavioral, consent, and audience data across marketing, sales, and platform ecosystems.
• Partner with Legal, Privacy, and Security to maintain consistent data governance, privacy, and compliance standards across all platforms.
• Set standards for platform reliability, observability, incident response, release management, and deployment.

Requirements

• A bachelor’s or master’s degree in a relevant technical field, or equivalent experience.
• 12+ overall years in software or platform engineering, including 5+ years leading managers, senior engineers, and external partners.
• Experience developing technical leaders and guiding distributed teams through organizational and technology change.
• Deep expertise in microservices and distributed systems architecture — able to set technical standards, design robust API-first platform services, and guide complex architectural tradeoffs.
• Strong command of modern data architecture: cloud-native production environments, event pipelines, database design (relational and NoSQL), data quality, governance, observability, and production operations.
• Experience building or operating customer data, marketing automation, personalization, analytics, or AI-enabled platforms at enterprise scale.
• A record of delivering complex programs across a matrixed organization while balancing priorities, risks, and team capacity.
• Clear communication skills and the ability to explain technical decisions in practical business terms.

Preferred

• Experience with agentic marketing workflows, LLM automation, audience segmentation, or AI-assisted campaign operations.
• Deep familiarity with customer data platform architecture: audience activation pipelines, identity resolution, consent enforcement, downstream system synchronization, and data quality governance
• Background in digital marketing operations or marketing technology at a global technology company, with an understanding of how platform decisions drive customer acquisition, personalization, and campaign performance.
• Experience evaluating platform investments through build-or-buy, cost, and business-value analysis.
• Interest in NVIDIA technologies, accelerated computing, or AI infrastructure.