Data & AI Product Manager

ELC Beauty LLC•New York, NY

About The Position

The Data & AI Product Manager, Digital will lead the strategy, development, and evolution of enterprise data, analytics, and AI products that enable faster, more consistent, and forward-looking business decision-making across the organization. This role will help build foresight capabilities, enterprise insights infrastructure, advanced analytics capabilities, and scalable learning systems that future-proof how the organization understands market performance, consumers, and business opportunities. A key focus will be transforming complex and fragmented market performance data into scalable, AI-powered business intelligence capabilities—moving beyond traditional reporting toward automated insights, conversational analytics, intelligent data harmonization, and decision-support experiences. The role will operate at the intersection of business strategy, data, analytics, AI, engineering, and user experience, owning products from strategy and discovery through launch, adoption, optimization, and lifecycle management.

Requirements

6+ years of experience across data/analytics product management, digital product management, analytics, data strategy, or related roles.
Experience owning complex enterprise products.
Demonstrated experience building or managing enterprise data, analytics, business intelligence, or AI-enabled products.
Strong understanding of modern data and analytics ecosystems, including SQL, cloud data platforms, data pipelines, semantic/data models, APIs, BI platforms, and AI/ML capabilities.
Strong understanding of data quality, governance, metadata, security, privacy, and responsible AI considerations within enterprise environments.
Strong product judgment.
Strong stakeholder management skills.
Executive communication skills.
Highly analytical.
Strong written and verbal communication skills.
Collaborative, curious, resourceful, and comfortable operating in an evolving environment where not all requirements or solutions are known upfront.

Nice To Haves

3+ years of direct product management experience preferred, including responsibility for product strategy, roadmap, prioritization, requirements, delivery, and adoption.
Technical familiarity with GCP, Databricks, SQL, and Python strongly preferred.
Experience with Looker, Power BI, or comparable business intelligence and analytics platforms preferred.
Experience with GenAI, conversational analytics, AI agents, automated insights, or AI-enabled enterprise products strongly preferred.

Responsibilities

Lead the strategy, development, and evolution of enterprise data, analytics, and AI products.
Build foresight capabilities, enterprise insights infrastructure, advanced analytics capabilities, and scalable learning systems.
Transform complex and fragmented market performance data into scalable, AI-powered business intelligence capabilities.
Move beyond traditional reporting toward automated insights, conversational analytics, intelligent data harmonization, and decision-support experiences.
Operate at the intersection of business strategy, data, analytics, AI, engineering, and user experience.
Own products from strategy and discovery through launch, adoption, optimization, and lifecycle management.
Translate ambiguous business problems and executive decision needs into clear product strategies and scalable technical capabilities.
Prioritize across competing business needs, technical constraints, user experience, and long-term scalability.
Operate across global, cross-functional, and highly matrixed organizations.
Manage stakeholders and communicate effectively with executives, influencing without direct authority.
Define and use product metrics to evaluate adoption, performance, and business value.
Communicate effectively across business, technical, and executive audiences.