Nordstrom
Manager, Engineering - Data Platform - Hybrid - Seattle
Nordstrom, Seattle, Washington, us, 98127
Job Description
The vision for Data Platform is to make Nordstrom the best data-driven fashion retailer in the world, and we win by being relevant to the customer through an application of insight and prediction to business outcomes.The Analytics Engineering team (AE) supports this vision by being dedicated to advancing data integrity, orchestration, enablement across the company. The team owns centralized analytics resources supporting data operations within and outside of technology groups. AE also serves in a consulting capacity for many analytics and AI teams: hosting user groups, design reviews, code reviews, and to make sure we’re raising the bar for analytics at Nordstrom.The Engineering Manager is responsible for developing the roadmap and strategy for analytics and AI development at Nordstrom. Key functions include managing shared resources, deploying low-code features for speed to insights, data operations, and coaching a skilled team of Engineers and Analysts. The ideal candidate lives the Nordstrom values with a strong focus on challenging and encouraging a technical team to grow their skills and make a difference for the company. This role has a wide scope that comes with plenty of opportunity to influence the direction of Data Science & Analytics as it pertains to BI, AI, and automation.Responsibilities:Drive the roadmap and technical vision for Analytics Engineering to promote analytics everywhere, collaborate with product groups and partner teams to deliver value to our customers.Lead best practices in production code, resource management, cost optimization, orchestration, and documentation.Foster data-informed decision making for the organization and the company at large.Build meaningful products that reduce automation friction to speed up the path to business outcomes.Manage organization of disparate data sets across multiple systems while ensuring data quality.Grow and develop a team of talented and motivated engineers with high expectations around individual ownership and impact.Develop and foster a healthy and collaborative culture that embodies both industry best practices and Nordstrom values.Intake and prioritize work using Agile methodologies.Deeply understand the analytics and data science use cases and proactively spot risks and opportunities; represent the voice of our internal customers and stakeholders.Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions.Being the bar raiser, pushing the limit on how solutions are designed and built, how systems are operated, and how we support our engineers to deliver better experiences for our customers.Partner with Product Management, Developer Platform, Cloud Engineering, Data Engineering teams, and business stakeholders.Requirements:BA/BS in Computer Science or closely related degree or equivalent practical experience.5+ years of development experience in on-premise and/or cloud platforms.5+ years of hands-on experience writing complex, highly-optimize production-quality code (we work mostly with Teradata, Spark, Hive, BigQuery).3-5 years of experience hiring, developing, and promoting a team of high-performance engineers and analysts (either as a manager or a team lead).Working familiarity with cloud platforms - AWS and GCP required - to influence designs and development of scalable analytics and AI projects.Fluency with data management, governance, and orchestration software concepts to empower non-technical, internal stakeholders to drive their own analytics and reporting.Working familiarity with at least one scripting language for production ELT/ETL (we use Python).Demonstrated ability to manage complex stakeholder relationships with conflicting priorities.Demonstrated ability to manage and prioritize workload and develop a roadmap and team vision.Retail/eCommerce industry experience strongly preferred.Familiarity with tools and processes aligned to Engineering standards.Solid understanding of latest technology and retail industry trends.High degree of initiative, ability to own a vision with limited direction.
#J-18808-Ljbffr
The vision for Data Platform is to make Nordstrom the best data-driven fashion retailer in the world, and we win by being relevant to the customer through an application of insight and prediction to business outcomes.The Analytics Engineering team (AE) supports this vision by being dedicated to advancing data integrity, orchestration, enablement across the company. The team owns centralized analytics resources supporting data operations within and outside of technology groups. AE also serves in a consulting capacity for many analytics and AI teams: hosting user groups, design reviews, code reviews, and to make sure we’re raising the bar for analytics at Nordstrom.The Engineering Manager is responsible for developing the roadmap and strategy for analytics and AI development at Nordstrom. Key functions include managing shared resources, deploying low-code features for speed to insights, data operations, and coaching a skilled team of Engineers and Analysts. The ideal candidate lives the Nordstrom values with a strong focus on challenging and encouraging a technical team to grow their skills and make a difference for the company. This role has a wide scope that comes with plenty of opportunity to influence the direction of Data Science & Analytics as it pertains to BI, AI, and automation.Responsibilities:Drive the roadmap and technical vision for Analytics Engineering to promote analytics everywhere, collaborate with product groups and partner teams to deliver value to our customers.Lead best practices in production code, resource management, cost optimization, orchestration, and documentation.Foster data-informed decision making for the organization and the company at large.Build meaningful products that reduce automation friction to speed up the path to business outcomes.Manage organization of disparate data sets across multiple systems while ensuring data quality.Grow and develop a team of talented and motivated engineers with high expectations around individual ownership and impact.Develop and foster a healthy and collaborative culture that embodies both industry best practices and Nordstrom values.Intake and prioritize work using Agile methodologies.Deeply understand the analytics and data science use cases and proactively spot risks and opportunities; represent the voice of our internal customers and stakeholders.Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions.Being the bar raiser, pushing the limit on how solutions are designed and built, how systems are operated, and how we support our engineers to deliver better experiences for our customers.Partner with Product Management, Developer Platform, Cloud Engineering, Data Engineering teams, and business stakeholders.Requirements:BA/BS in Computer Science or closely related degree or equivalent practical experience.5+ years of development experience in on-premise and/or cloud platforms.5+ years of hands-on experience writing complex, highly-optimize production-quality code (we work mostly with Teradata, Spark, Hive, BigQuery).3-5 years of experience hiring, developing, and promoting a team of high-performance engineers and analysts (either as a manager or a team lead).Working familiarity with cloud platforms - AWS and GCP required - to influence designs and development of scalable analytics and AI projects.Fluency with data management, governance, and orchestration software concepts to empower non-technical, internal stakeholders to drive their own analytics and reporting.Working familiarity with at least one scripting language for production ELT/ETL (we use Python).Demonstrated ability to manage complex stakeholder relationships with conflicting priorities.Demonstrated ability to manage and prioritize workload and develop a roadmap and team vision.Retail/eCommerce industry experience strongly preferred.Familiarity with tools and processes aligned to Engineering standards.Solid understanding of latest technology and retail industry trends.High degree of initiative, ability to own a vision with limited direction.
#J-18808-Ljbffr