Manager Enterprise Data Delivery

Company Description

Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Laurens reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Companys brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the worlds most widely recognized families of consumer brands. At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.

Position Overview

We are looking for an experienced Manager - Data Delivery to lead our data engineering initiatives, drive data-driven decision-making, and collaborate closely with stakeholders. The ideal candidate should have strong expertise in data engineering, data visualization (preferably using MicroStrategy), cloud technologies (AWS), and stakeholder management.This role is ideal for a data engineering leader who can bridge the gap between technical execution and business strategy, ensuring impactful data solutions that drive business success.

Essential Duties & Responsibilities

• Lead and manage data engineering teams to design, develop, and optimize scalable data pipelines.
• Drive end-to-end data solutions, from ingestion to transformation and reporting.
• Oversee data visualization efforts, ensuring effective dashboards and reports in MicroStrategy or similar BI tools.
• Collaborate with business teams to understand data needs and translate them into actionable insights.
• Support Delivery Architect and implement data solutions on AWS & Databricks
• Ensure data governance, security, and compliance in alignment with business requirements.
• Manage stakeholder expectations, communicate technical concepts effectively, and influence decision-making.
• Run workshops with Business and align Business stakeholders to optimal solutions
• Optimize and maintain ETL processes for performance, scalability, and cost efficiency.
• Drive best practices for data modeling, metadata management, and data quality assurance.
• Stay up to date with industry trends and emerging technologies to enhance the data ecosystem.
• Mentor and develop team members, fostering a high-performance data engineering culture.
• Contribute to hiring and talent development strategies to build a strong data team.
  
  

• 14-18 years of experience in data engineering, BI, and cloud technologies.
• Proficiency in AWS data services (S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda etc.).
• Well versed with Databricks
• Hands-on experience with ETL development, data pipelines, and data modeling.
• Familiarity with SQL, Python, and Spark
• Exposure to modern data architectures and cloud-based analytics.
• Strong understanding of data visualization principles with BI tools, preferably using MicroStrategy
• Excellent stakeholder management skills with the ability to drive alignment and influence decisions.
• Experience in leading teams (15+ team size), project delivery, and working in an Agile environment.
• Strong problem-solving skills and ability to balance technical and business priorities.
• Experience in managing distributed teams across multiple geographies, ensuring seamless collaboration and delivery.
• Strong communication skills verbal, written and visual presentations
• AWS certification (preferred).
• SAFe Certification (preferred).