Java Programming, Python Programming, MongoDB, Database, SQL, Agile methodologies, DevOps, AWS, PowerBI, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, Alteryx, NoSQL, QlikView, Tableau, Docker, Kubernetes-K8s, R Programming, MicroStrategy, DataOps, Containerization
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 Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's 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 world's 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
The Ralph Lauren Corporation, a global leader in luxury fashion and design, is building advanced analytics capabilities to support its Global business in North America, EMEA, and APAC. Our Analytics Team is focused on building high-quality technology solutions to enhance the business & customer experience across channels and geographies.
The Analytics Solutions Architect is an emerging role in Ralph Lauren’s Analytics team and will play a pivotal role in delivering insights for the most critical data and analytics initiatives for Ralph Lauren.
Based in Nutley, NJ, this Data Engineering Architect will work with the Global Analytics team to build, maintain, and optimize data pipelines for key data and analytics consumers including business and data analysts and data scientists covering our digital and physical channels and value chain across all geographies. The Data Engineering Architect will collaborate with line of business users, business analysts, data analysts and data scientists on models and algorithms to deliver analytics insights and use cases.
The Data Engineering Architect will leverage analytical, visualization, and data engineering skills to solve problems, unlock opportunities and create new insights. They will identify and explore internal and external data sets. They will guarantee compliance with data governance and data security requirements while creating, improving, and operationalizing integrated and reusable data pipelines. This would enable faster data access, integrated data reuse and vastly improved time-to-solution for Ralph Lauren’s data and analytics initiatives.
This role will require both creative and collaborative working with IT and the wider business. It will involve evangelizing effective data management practices and promoting better understanding of data and analytics. The Analytics Solutions Architect will also be tasked with working with key business stakeholders, IT experts and subject-matter experts to plan and deliver optimal analytics and data science solutions.
Essential Duties & Responsibilities
Educate and train: The Analytics Solutions Architect should be curious and knowledgeable about new data initiatives and how to address them. This includes applying their data and/or domain understanding in addressing new requirements. They will also be responsible for proposing appropriate (and innovative) data analysis and visualization techniques. They will be required to train counterparts such as data scientists, data analysts, LOB users or any data consumers in analysis and visualization techniques, which make it easier for them to integrate and consume the data they need for their own use cases.Drive Automation through effective metadata management: Design or adopt solutions and frameworks using innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity.
Advance the technology architecture for analytics: Continuously evaluate the suitability of our analytics technology environment – including tools, frameworks, and processes – to satisfy our current and future business needs. Understand the technology landscape in the broader retail industry and propose advancements to our roadmap.
Build data pipelines: Assist data engineers to architect data pipelines that will provision high quality data ready for analysis. This includes ingestion, exploration, modeling, and curation of high value data.
Drive delivery of solutions in an Agile delivery model: Document requirements and solution design as stories that can be completed within a sprint. Work as part of the sprint team to ensure requirements and design are well understood and achieve the expected value.
Design analytics solutions to the problems faced by stakeholders: Provide thought leadership to define creative solutions to problems that balance speed of execution with the ability to create sustainable wins. Understand the various sources of data, technical components of the architecture, and best practices in the industry to solve problems with speed. Ensure the design is well understood and embraced by team members.
Develop strong partnerships with key line of business stakeholders: Utilize expertise on Ralph Lauren’s data and industry best practices to develop strong partnership with key stakeholders across business units in order to expand the analytics capabilities of the organization. The Analytics Solutions Architect will understand the needs of stakeholders as well as push the organization to adopt new ways of analyzing and visualizing data.
Experience, Skills & Knowledge
Ralph Lauren Corporation is an American fashion company producing products ranging from the mid-range to the luxury segments. They are known for the clothing, marketing and distribution of products in four categories: apparel, home, accessories, and fragrances. The Company's brands include the mid-range Chaps brand, to the sub-premium Lauren Ralph Lauren brand, to the premium Polo Ralph Lauren, Double RL, Ralph Lauren Childrenswear, Denim & Suppl
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