Job Title: Pillar Lead – Loyalty (Data-Driven Experience Loyalty)

Department: Consumer Engagement & Martech

Reports To: Domain Lead, Consumer Engagement & Martech

Location: New York, NY

About the Role:

As the Pillar Lead for DDXL (Data-Driven Experience Loyalty), you will play a pivotal role in shaping the future of customer loyalty at L'Oréal. You will lead a team of engineers in building and enhancing the technical infrastructure, APIs, and services that power personalized loyalty experiences for millions of customers worldwide. This role requires deep technical expertise, a passion for customer loyalty, and a proven ability to lead and inspire engineering teams. You will be the technical authority for the DDXL platform, collaborating closely with product managers, business stakeholders, and other engineering teams to deliver innovative and scalable solutions that drive customer engagement and retention.

Key Responsibilities:

• Technical Leadership & Vision: Provide technical leadership and strategic direction for the DDXL platform. Define the technical roadmap and ensure alignment with L'Oréal's global loyalty program strategy.
• Architecture & Design: Lead the design, development, and maintenance of robust and scalable data pipelines and APIs for loyalty programs using technologies like Node.js, React.js, DynamoDB, OpenSearch, Redis Cache, Lambda Functions, Fargate-ECS, S3, SNS, SQS, and Kinesis.
• Loyalty Program Expertise: Possess a deep understanding of end-to-end loyalty business processes, including customer acquisition, engagement, retention, and rewards management. Translate this expertise into technical solutions that enhance the customer experience and drive program performance.
• Data Strategy & Implementation: Collaborate with product management and business stakeholders to define and execute a data strategy that maximizes the value of our loyalty programs. Oversee the implementation of data-driven features and personalized offers, leveraging data insights to optimize customer engagement.
• Rule Engine Optimization: Oversee the implementation and optimization of the DDXL Rule Engine, ensuring efficient and effective management of loyalty rules and personalized offers.
• Data Processing & Analysis: Leverage Pyspark, DynamoDB, and S3 to process and analyze large customer datasets, extracting insights to drive loyalty program strategy and performance.
• Innovation & Emerging Technologies: Stay abreast of emerging technologies in the loyalty and data engineering space, identifying opportunities to enhance the DDXL platform and deliver greater value to our customers.
• Collaboration & Communication: Work closely with product owners, business stakeholders, and UX designers to translate business requirements into technical specifications and deliver exceptional user experiences.
• Platform Performance & Reliability: Ensure the performance, security, and reliability of the loyalty platform, proactively addressing technical challenges and implementing best practices.
• Agile Development & Project Management: Drive the adoption of agile methodologies, ensuring efficient project delivery and continuous feedback integration. Manage project timelines, resources, and risks effectively.
• UX Guidance: Provide UX expertiseand guidance to ensure a seamless and engaging customer experience across all touchpoints.

Qualifications:

• Education: Bachelor's degree in computer science, Engineering, or a related field

• Experience:10+ years of experience in IT, with a focus preferably on data engineering, backend systems. Proven experience leading technical teams and delivering technology projects
• Technical Skills: Understanding of Loyalty Rule Engine or similar rule-based systems. Event-driven architecture; Integration patterns; Data flows; SaaS platforms and their offerings
• Loyalty Program Expertise: Nice to have experience withdriving and delivering end-to-end loyalty business processes
• UX Expertise: Strong UX expertise and a passion for creating user-friendly applications
• Communication & Leadership: Excellent communication, collaboration, and leadership skills
• Agile Development: Experience with agile development methodologies

Bonus Points:

• Experience with personalization engines and recommendation systems.
• Experience in the beauty industry.

As an integral part of our culture at L’Oréal, wellness is at our core. We not only offer a generous Benefits Package (Medical, Dental, Vision, 401K), we also offer flexible time off, work from home days, and a pension plan! Additionally, you will have access to company perks such as Makeup, Skincare, and Fragrance! Employees receive a stipend for L'Oréal products as well as VIP Access to L’Oréal’s Internal Shop for Discounted Products, and other perks such as Monthly Mobile Allowance, discounted gym memberships, and ERGs.

Additional Benefits Information As Follows:

Salary Range: $138,500 - $200,800 (The actual compensation will depend on a variety of job-related factors which may include geographic location, work experience, education, and skill level)

• Competitive Benefit Package (Medical, Dental, Vision, 401K, Pension Plan)  
• Hybrid Work Policy (3 Days in Office, 2 Days Work from Home) 
• Flexible Time Off (Paid Company Holidays, Paid Vacation, Vacation Buy Program, Volunteer Time, Summer Fridays & More!)  
• Access to Company Perks (VIP Access to L’Oréal’s Internal Shop for Discounted Products, Monthly Mobile Allowance)  
• Learning & Development Opportunities (Unlimited Access to E-learnings, Lunch & Learn Sessions, Mentorship Programs, & More!)  
• Employee Resource Groups (Think Tanks and Innovation Squads)  
• Access to Mental Health & Wellness Programs

Don’t meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles!

We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status.

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