Senior Product Manager · AI & Enterprise Platforms

Building the AI
foundation for
prestige beauty.

Johana Luna Portrait

I lead technology products and AI enablement for Unilever Prestige's eight brands, including Tatcha, Dermalogica, Paula's Choice, and K18, and own the central technology budget, applications, and vendors.

400people on Claude, under governance built from scratch
3.5 hoursagent work that used to take three months
8 brandsone shared technology and AI foundation
Black and white portrait of Johana Luna

Professional Experience

Mar 2022 — PresentUnilever Prestige

Senior Product Manager, Technology Portfolio Ops & AI Enablement

Jul 2026 – Present

Senior Business Systems Analyst & Technical Program Manager

Mar 2022 – Jul 2026

Lead AI enablement for eight brands. Led the Prestige Pioneer adoption plan and set up AI controls with Unilever's AI governance and cybersecurity teams, enabling 400 people to adopt Claude, and co-organized the annual AI Hackathon, with projects live in sales, procurement, and R&D. Designed and deployed agents that cut product-data preparation for Google's AI shopping from three months to 3.5 hours. Cut software costs by up to 30% with portfolio-wide contracts, led the design and integration of seven brands' regulatory and formulation systems into one platform, and, as technical program manager, led commerce, ERP, and 3PL integrations across four countries.

Hourglass✦
Paula's Choice✦
Tatcha✦
Murad✦
Living Proof✦
K18✦
Dermalogica✦
Garancia✦
Hourglass✦
Paula's Choice✦
Tatcha✦
Murad✦
Living Proof✦
K18✦
Dermalogica✦
Garancia✦
Hourglass✦
Paula's Choice✦
Tatcha✦
Murad✦
Living Proof✦
K18✦
Dermalogica✦
Garancia✦
Hourglass✦
Paula's Choice✦
Tatcha✦
Murad✦
Living Proof✦
K18✦
Dermalogica✦
Garancia✦
Oct 2020 — Mar 2022Shutterfly

Senior Data Analyst

Built a random forest model that flagged orders at risk of shipping late, so operations and manufacturing could act first, avoiding $4.5M a year in expedited shipping and late-delivery refunds. Led the migration of 200+ dashboards from Looker to Power BI and designed the Azure data lake behind them, covering 20TB of historical data.

2016 — 2019Relocation

Relocated from Colombia to the United States; completed the Lambda School Data Science & Machine Learning fellowship (2019 – 2020).

2014 — 2016Claro (Colombia)

Regulatory Audit & Automation Lead

Governed 650M+ monthly records for national telecom regulatory reporting; automated audit reporting, cutting cycles by 40%.

Education

2009 — 2014Universidad Industrial de Santander, Colombia

B.S. Systems Engineering

Core Foundation: Advanced studies in Enterprise Architecture, Database Management (Oracle/SQL), and Algorithmic Logic.

2019 — 2020Lambda School

Data Science & Machine Learning Fellowship

Strategic Case Studies

Agentic Commerce6 Brands

AI-ready product data for Google shopping

Designed an AI agent that reads each brand's storefront and turns it into the conversational product data Google's AI Mode and Gemini use to answer shoppers. Preparing one brand's catalog took three months of full-time work; the agent does it in 3.5 hours, across ~1,175 SKUs in six brands. Paired with a rebuild of first-party tagging and conversion signals.

AI agents / Merchant Center / First-party data
AI Enablement400 People

Making AI safe to use, then useful

Established the portfolio's first AI governance and security controls with Unilever's AI and cybersecurity teams, enabling 400 people across Unilever Prestige and its brands to adopt Claude. Co-organized the first AI Hackathon (150+ people, 17 teams), now an annual event; projects now live include a field-visit agent for Dermalogica's sales reps and educators and supplier-risk monitoring for central procurement.

AI governance / Adoption / Hackathon
Portfolio SpendUp to 30% Off

One negotiation instead of eight

Replaced brand-by-brand software deals with portfolio-wide contracts, consolidating volume across brands to win discounts of up to 30%.

Vendor strategy / Contract negotiation
Predictive Logistics$4.5M a Year

Fixing late orders before they were late

At Shutterfly, built a model that flagged orders likely to ship late, so operations could act before the deadline instead of paying for last-minute shipping upgrades and refunds.

Python / Machine learning / Operations