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.
The Director, Analytics Technology Architecture is a new role in Ralph Lauren’s Analytics team, and will play a pivotal role building the most critical data and analytics initiatives for Ralph Lauren’s digital business initiatives.
Purpose & Scope :
Based in Bengaluru, India the Director, Analytics Technology Architecture will define the technology and data architecture for analytics at Ralph Lauren.
This individual will lead a team of architects, engineers, and data governance leads in the use of data and technology to deliver our Connected Retail, Digital, Value Chain, and Financial objectives.
This individual is a thought leader driving our technology architecture, a subject matter expert on existing and emerging practices and tools, and an inspirational leader able to drive continuous advancement of our capabilities.
Essential Duties & Responsibilities
Define the technology architecture for analytics : Own the reference architecture and roadmap for data warehousing, analytics, and data science.
Provide solution architecture and design expertise and set relevant standards. 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.
Deliver enterprise platforms and tools for analytics : Deliver the environments, platforms, and tools for development of our enterprise data platforms, to support the advanced analytics and data science teams, and used by analytics teams embedded in business units.
Ensure uptime and performance meet business needs. Drive continuous improvement in cost and performance. Set standards for administrators and engineers.
Drive data governance for analytics : Define and operate our data governance processes and standards to ensure consistent, high quality data is available and agreed upon across the organization.
Define clear system of record and data lineage, deliver data catalog and metadata management solutions. Define standards for development teams to follow to publish and reuse high quality data assets.
Provide solution architecture expertise for projects and analytics groups as needed, acting as a subject matter expert and ensuring alignment to overall architecture goals.
Collaborate across departments : Leverage strong collaboration skills to partner with varied stakeholders within the organization, including the analytics and enterprise data warehouse teams, business stakeholders, security, infrastructure, and other teams.
Act as an evangelist for architecture and data governance best practices within IT and the business.
Experience, Skills & Knowledge
Education and Experience
TechnicalKnowledge / Skills
These should include ETL / ELT, data replication / CDC, message-oriented data movement and upcoming data ingestion and integration technologies such as stream data integration and data virtualization.
Interpersonal Skills and Characteristics
The successful candidate will also be required to have regular discussions with data consumers on optimally refining the data pipelines developed in nonproduction environments and deploying them in production.