Senior Data Automation/Marketing Ops Lead (Digital Marketing)

We are seeking a highly strategic and visionary Senior Data Automation/Marketing Ops Lead to design and oversee our global marketing technology stack and data platform ecosystem. Firmly seated within the digital marketing team (part of the larger marketing organization), this role is explicitly differentiated from traditional IT functions; instead, you will serve as the critical bridge, partnering closely with IT for flawless technical execution.

Reporting to the Director of Marketing Data and Operations, this leader will drive digital acquisition capabilities, focusing on integrating artificial intelligence, enabling end-to-end performance tracking, and optimizing operational workflows for unprecedented scale and efficiency. The successful candidate will be a creative problem-solver who thrives in a fast-changing environment, acting as the primary technical architect to ensure our technology foundation actively supports aggressive global business growth.

Key Responsibilities

• Be the principal marketing architect for the marketing technology stack, actively partnering with IT to design and execute the full end-to-end (E2E) vision.
• Lead the MarTech council, serving as the primary technical Subject Matter Expert (SME) in marketing for the rigorous technical evaluation of proposed vendors and marketing use cases.
• Act as the primary technical interface between Marketing and IT ensuring seamless solution design, implementation, and the proactive communication of MarTech stack requirements to Engineering/IT stakeholders.
• Be the marketing lead, guide and direct the solution design and development of a fully integrated MarTech ecosystem, in collaboration with IT, to enable real-time omnichannel journey orchestration and facilitate agentic automation.
• Provide technical leadership and oversight to ensure successful, compliant, and efficient Customer Data Platform (CDP) development and implementation.
• Champion technical best practices for real-time data processing, modeling, and seamless AI deployment, driving automation and replacing manual processes with intelligent workflows.
• Design, document, and implement highly scalable operational processes (SLAs, governance) that optimize workflow efficiency, productivity, and quality across all global digital operations.
• Enforce rigorous data quality, governance, and operational excellence across all acquisition processes (data pipelines, tag management) with a mandatory zero-error mentality.

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