Customer Intelligence & AI Manager

D.S. & Durga•New York, NY

7d•$100,000 - $120,000

About The Position

D.S. & Durga is seeking a Customer Intelligence & AI Manager to build and own the company's customer intelligence capability from the ground up. This role is crucial for establishing a unified understanding of the customer, as current customer data is fragmented across various teams and platforms. The Manager will connect, interpret, and unify existing data into a single actionable picture, partnering with teams who own the underlying sources. The role involves two phases: first, building the internal customer view, data infrastructure, and core reporting; second, expanding into brand and market intelligence, including competitive benchmarking and trend monitoring. A key aspect of this role is genuine LLM fluency, utilizing automation and AI-assisted analysis as the foundation for the function's credibility.

Requirements

5 to 8 years of experience in consumer insights, customer analytics, business intelligence or a closely related field.
Experience in prestige beauty, fragrance, luxury or a high-growth consumer brand — in-house or at a leading insights or strategy consultancy.
Strong command of both quantitative and qualitative approaches to understanding consumers.
Proficiency with analytics platforms, CRM systems and data visualization tools.
Genuinely LLM-efficient: hands-on experience training, fine-tuning, prompting and directing models and agents to do real analytical and operational work — not just familiarity with AI tools at a surface level.
Experience presenting insights to senior leadership and translating data into clear strategic recommendations.
Comfort operating as a shared resource across multiple functions, with a dotted-line relationship to a function head.
Read, analyze and interpret business, professional, technical or governmental documents.
Write reports, business correspondence and procedure manuals.
Effectively present information and respond to questions from managers, customers and the public.
Add, subtract, multiply and divide in all units of measure, using whole numbers, common fractions and decimals.
Compute rate, ratio and percent, and draw and interpret bar graphs.
Solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.
Interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
MS Office, comfort with AI/LLM tools, model training and fine-tuning, and directing agent-driven workflows, familiarity with data visualization and reporting platforms.

Nice To Haves

Experience building reporting infrastructure and dashboards from scratch is a strong plus.
Experience standing up a function solo — comfortable being a department of one until the business case for a team is proven — is a strong plus.

Responsibilities

Build one unified, omni-channel customer view based on real purchasing behavior, basket data, lifetime value, frequency, channel preference, and product affinity.
Deliver SKU-level intelligence — what's selling, what isn't, where, at what price point, in which channel, and why.
Own monthly dashboard and reporting, giving leadership, commercial, retail, and marketing a consistent view of business performance, customer behavior, and emerging trends.
Integrate social, web, DTC, and retail data sources into a single intelligence framework.
Develop customer segmentation that reflects both target audience strategy and data reality, informing innovation priorities, marketing investment, and commercial planning.
Train and direct AI models and agents to automate reporting, accelerate analysis, and surface insight faster — giving the function the leverage of a small team while it remains one person.
Track brand health — awareness, consideration, sentiment, and share of voice across key markets.
Lead competitive benchmarking and category trend monitoring.
Monitor AI visibility — how D.S. & Durga appears in AI-generated search and recommendations.
Partner with Global Marketing on consumer research initiatives — surveys, panels, qualitative studies.
Track cultural trend signals relevant to the brand's world — music, travel, fragrance, design, literature.
Serve as a connective force across marketing, commercial, retail, and the creative studio without owning every underlying data source.
Partner day-to-day with the Senior Manager, Global Marketing & Innovation to prioritize where intelligence is applied and embed it into campaign, innovation, and pricing decisions.
Maintain independence and objectivity so insights are trusted as unfiltered, fact-based signal rather than shaped by any one function's priorities.