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Salary
≈ $17k – $37k per year (Estimated)
Location
Hybrid (Ho Chi Minh City, Vietnam)
Seniority
Staff · 10+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 10, 2026. L'Oréal scores B on the Alion truth index.

Overview
Company
Impact
Profile match
L'Oréal is a French cosmetics and beauty group headquartered in Clichy, near Paris, that develops and sells hair care, skin care, makeup and fragrance products. Founded in 1909, it is the largest cosmetics company in the world and runs divisions such as L'Oréal Luxe, Consumer Products and Professional Products, with brands including Kérastase, Redken, Maybelline and licensed YSL and Prada beauty lines. Its openings cover sales account executives, marketing and brand directors, education trainers, supply chain, quality engineering, scientific and regulatory roles, finance and internships worldwide.

1. Role Purpose

As a strategic leader within L'Oréal Vietnam, this role will drive the identification, development, and implementation of transformative digital solutions, enterprise applications, and data-driven initiatives. You will serve as a trusted advisor, bridging the gap between business needs and technical execution. This role goes beyond technical management to lead comprehensive digital transformation, AI architecture, and business partnership.

2. Key Accountabilities

Strategic Business Advisory & Partnership

  • Serve as a strategic partner to key business stakeholders across all divisions and corporate functions, translating business needs into feasible digital initiatives.
  • Act as the market authority on Data, Digital, Cloud, and AI capabilities relevant to L’Oréal.
  • Champion 'Global First' solutions, ensuring alignment with Global IT and One L’Oréal Data strategy while justifying local adaptations for value.
  • Define and implement data governance policies across L'Oréal Vietnam to ensure data quality, integrity, and security.
  • Support leadership decision-making at the ManCom level through structured recommendations and business-oriented storytelling.

Project Leadership & Deployment Oversight

  • Lead selected strategic data, digital, or AI initiatives from design to deployment.
  • Coordinate delivery teams, technology vendors, and Global/Zone partners to ensure timely execution and value realization.
  • Provide transparent communication on project progress, risks, and business impact to the Management Committee.
  • Supervise the deliverables of IT consultants and contractors, ensuring high-quality service delivery.

Security, Risk & Compliance

  • Act as the primary security and risk advisor for all digital and AI initiatives.
  • Coordinate robust security measures to ensure compliance with L’Oréal’s cybersecurity, data privacy, and regulatory standards.
  • Proactively identify vulnerabilities in collaboration with IT security teams.

AI Enablement & Capability Building

  • Promote responsible AI adoption in line with Group ethical principles.
  • Design and deliver AI awareness sessions and enablement workshops for business and IT users.
  • Reference and mentor IT teams on data platforms, cloud architecture, and AI patterns to raise overall organizational maturity.

3. Key Interactions

  • Internal: Business Division Leaders (LTM), Zone counterparts, and Management Committee (Mancom).
  • External: Technology vendors, IT consultants, and external contractors.

4. Qualifications & Experience

Education & Experience

  • Education: Bachelor’s or Master’s degree in IT, Engineering, Data, Computer Science, or a related field.
  • Experience: 10+ years of progressive responsibility in IT, Digital, Data, and AI.
  • Track Record: Proven success in leading large-scale digital transformation projects and data/AI initiatives within a matrix organization.
  • Language: Native/Professional fluency in Vietnamese and fluent in English.

Technical Expertise (Architecture & Strategy Level)

  • In-depth understanding of Data on Cloud architectures (Data Lakes, Warehouses, ETL/ELT) on major providers (AWS, Azure, or GCP).
  • Strong conceptual understanding of AI/GenAI concepts and cloud ecosystems.
  • Ability to evaluate solution architectures and technology stacks proposed by Global or external vendors.

Leadership & Soft Skills

  • Business Acumen: Ability to translate complex business needs into scalable and secure technical solutions.
  • Influence: Comfortable influencing senior leadership through structured reasoning and credibility.
  • Agility: Familiarity with Agile/hybrid delivery models.
  • Communication: Excellent storytelling skills with the ability to explain technical concepts in simple, business-friendly language.
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