Director, Data & AI Product, Content Automation

ELC Beauty LLC•New York, NY

49d•$139,850 - $241,520

About The Position

The Estée Lauder Companies Inc. is looking for a technical product and data leader to drive the AI infrastructure that powers intelligent content generation and creative automation across their digital and marketing organization. This role sits at the intersection of product management, AI/ML product strategy, data engineering, and marketing technology. The individual will be responsible for standing up the AI and data products and feedback loops that enable scalable, brand-safe consumer and marketing AI capabilities at speed — across every channel. The role requires a blend of product leadership, deep understanding of digital marketing and e-commerce ecosystems, and strong technical fluency across consumer data, marketing technology platforms, and AI solutions — including generative AI, predictive analytics, and marketing intelligence.

Requirements

8-12+ years of experience spanning data, AI, and product management, with a track record of scaling high-performing teams and delivering digital products.
Proven ability to partner with engineering, data science, and business stakeholders to deliver AI-powered products and platforms, with strong expertise in product strategy, prioritization, business case and ROI development, user requirements definition, and cross-functional execution.
Experience delivering data and AI solutions at global scale across multi-brand and multi-market environments.
Deep familiarity with digital marketing technology ecosystems, including DAMs, PIMs, creative workflow platforms, content taxonomies, and marketing data infrastructure.
Demonstrated success designing and implementing workflow automation and intelligent process optimization across marketing and digital functions.
Technical fluency across modern data platforms, cloud architectures, AI/ML frameworks, and integration and automation technologies.
Experience building and leading globally distributed, cross-functional teams and driving large-scale digital and AI transformation initiatives.
Strong command of Agile and product-centric delivery methodologies, with the ability to operate across both strategic and execution layers.

Nice To Haves

A builder who understands that the AI is only as good as the data underneath it.
Equally comfortable in a technical architecture conversation and a senior marketing presentation.
Knows how to translate complex data infrastructure into business outcomes that marketers care about.

Responsibilities

Define and lead the product vision and roadmap for Data & AI across content intelligence, creative automation, and AI-powered marketing workflows.
Serve as the connective tissue between marketing strategy and the data infrastructure that makes it executable — translating brand and commerce priorities into clear OKRs, adoption targets, and measurable outcomes tied to revenue, engagement, and efficiency.
Maintain deep expertise across the full stack: marketing data platforms, CDPs, and identity infrastructure; generative AI for content personalization, campaign execution, and consumer interaction; and the automation and orchestration layers that connect them.
Drive the data products and AI capabilities that power creative and pre-activation marketing at scale — including generative AI for concepting, asset variation, copy generation, localization, and production acceleration; content performance analytics that reveal what creative elements resonate, with whom, and when; and creative workflow analytics that drive efficiency, asset reuse, and cycle-time reduction.
Manage global product roadmaps with a sharp prioritization lens on creative and brand impact.
Lead a team of Product Managers and partner closely with Data Science and Engineering to ship scalable, production-grade AI products.
Establish KPIs that matter: creative effectiveness, content ROI, cost savings, asset reuse, and brand equity lift.
Lead Data & AI conversations within CDMO org and partner with marketing, brands, creative teams, vendor partners, and other critical stakeholders.
Build adoption programs that help marketers and creatives use AI as a genuine partner in ideation, design, and storytelling — not just a production shortcut.
Ensure all creative AI deployments meet brand safety, copyright and IP, and responsible AI standards.
Ensure creative and marketing AI products operate within brand governance, legal, privacy, and responsible AI guardrails.