Responsibilities

• Design and build AI‑powered marketing automation workflows that streamline campaign operations: automated creative testing, budget optimization, predictive bidding.
• Develop and maintain performance dashboards and analytics frameworks that provide leadership visibility into AI adoption rates, time savings, cost savings, and performance lift.
• Strategically oversee the Marketing AI Lighthouse pilot portfolio, partnering with cross-functional leadership to architect, validate, and transition high-impact AI pilots into enterprise-scale marketing capabilities.
• Integrate AI tools and platforms with the core marketing tech stack to orchestrate high-concurrency workflows that drive measurable lift in customer acquisition and operational velocity
• Partner with marketing technology, product, engineering and data science teams to operationalize customer segmentation models, first‑party data strategies, and AI‑driven personalization at scale across the customer experience.
• Build automated reporting pipelines that quantify the impact of Marketing Futures pilots: tracking adoption, time‑to‑launch, and performance against baselines.
• Develop and maintain internal automation playbooks and toolkits that enable channel teams to self‑serve proven AI workflows.
• Collaborate with the Head of Marketing Futures to identify high‑impact automation use cases and transition proven solutions to partner teams.

Requirements

• 8+ years of experience in marketing analytics, marketing operations, or data‑driven growth marketing, with at least 3 years building AI‑powered automation workflows.
• Proven track record of architecting and deploying production-grade automation infrastructure on GCP/AWS/Azure that scales AI workflows across global marketing organizations.
• Strong proficiency in data modeling, customer segmentation, and analytics tools (e.g., GA4, Mixpanel, Amplitude, Adobe Gen Studio, Adobe Analytics, Customer Data platforms).
• Hands‑on experience integrating AI tools into marketing tech stacks; comfort working with APIs, ADKs/SDKs, and platform AI capabilities.
• Proficiency in Python, SQL, or similar for data analysis and automation scripting; experience with no‑code/low‑code platforms (e.g., Cursor, Claude Code) is required.
• Experience building dashboards and attribution models; strong understanding of marketing measurement, incrementality testing, and performance metrics.
• Track record of working cross‑functionally with product, engineering, data scientists, and marketing channel owners.
• Excellent communication skills; ability to translate complex data insights into actionable recommendations for non‑technical stakeholders.
• Experience in fintech, SaaS, or regulated industries is a plus.