Nike, Inc.:
Manager, Consumer Data & Shopper Analytics (Nike Digital) Job in Beaverton, VT
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Beaverton, VT
Full-time | Computer - Programming
About the job
Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
DescriptionData is the new voice of the athlete. Consumers are more sophisticated and educated than ever before. They are keenly aware of their choices and power. The Data Product Manager, Consumer Data & Shopper Analytics will be part of Nike Direct Consumer Data Engineering Center of Excellence’s growing team responsible for building and deepening a holistic view of Nike’s consumers through data and analytics, and applying those insights to inform the development of incredible digital services and experiences for our consumers. Our mission is to bring our technology and process expertise to create world-class digital experiences that delight our customers and keep us in front as a leader in online retailing. We redefine the word “dynamic” on a daily basis. Nike is a company based on Innovation. It is in our nature to innovate. Think something nobody else thinks, build something nobody else builds, or improve something that already exists. Curiosity is life. Assumption is death.We are looking for a top-tier product manager to define the design, capabilities, and implementation of an evolving data and analytics platform. The Data Product Manager, Consumer Data & Shopper Analytics will work cross functionally with consumer knowledge, business intelligence, data science, engineering, and architecture teams to gather and thoughtfully document feature requirements then drive them through the product development lifecycle. As a team, we're motivated by Nike’s proud legacy of always being first. Join our world-class technologists in finding innovative ways to engage consumers and strengthen their connection to our products, services and brand. The work you do today will help modernize the workplace and prove essential to Nike's future success and growth.The Data Product Manager, Consumer Data & Shopper Analytics must have experience successfully developing enterprise-scale data products and a deep understanding of how progressive reporting and analytics systems are designed, built, and operated. Candidates should have prior data architecture, design, and modeling experience and a deep familiarity with foundational data science. Success in this role will require an ability to understand both stakeholder and partner requirements to define the short and long-term strategy for delivery, document technical product specifications in appropriate detail, and work across engineering and architecture to guide development.The ideal candidate must be able to comfortably maneuver from deep business domain & analysis work to defining technical requirements and prototyping solutions. A leader who has previously contributed to a data platform, data warehouse, or data product technical programs, can influence via great technical requirements and engineering partnerships, and is excited to work in a dynamic data environment with a strong set of teammates will be a great fit for this role.Key Responsibilities: Use your distributed computing, database, analytics background to drive the vision for connected commerce analytics across all channels
Write, drive, and prioritize thoughtful and detailed functional specifications for data ingestion, data cleansing, data quality, analytic processing, BI, and data science use cases then drive them via an Agile development methodology
Become a subject matter expert across Nike Direct landscape Retail and Commerce data flows
Work with data scientists and engineers to develop optimal data pipelines
QualificationsBachelor’s Degree in Computer Science, MIS, other quantitative disciplines, or related fields
2-4 years of relevant product experiences that can translate into defining platform vision and working with the best engineers, analysts and data scientists
Experience writing detailed technical specifications describing requirements for data movement, transformation, storage, quality checks, and read latency
Incredible attention to detail, with structured problem solving approach
Excellent communications skills (written and verbal)
Strong influence & interpersonal skills
Understanding of the Consumer Attribution and Data collection process
Understanding of data architecture, data taxonomy, and both structured and unstructured data
Ability to understand the technical implementation trade-offs to ensure that requirements are not misunderstood or being ignored by a given implementation plan
Experience with agile development methodologies
Considerable experience with at least one Hadoop distro and associated tools
Experience with data transformation and BI tools
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job ID 00380971
NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
DescriptionData is the new voice of the athlete. Consumers are more sophisticated and educated than ever before. They are keenly aware of their choices and power. The Data Product Manager, Consumer Data & Shopper Analytics will be part of Nike Direct Consumer Data Engineering Center of Excellence’s growing team responsible for building and deepening a holistic view of Nike’s consumers through data and analytics, and applying those insights to inform the development of incredible digital services and experiences for our consumers. Our mission is to bring our technology and process expertise to create world-class digital experiences that delight our customers and keep us in front as a leader in online retailing. We redefine the word “dynamic” on a daily basis. Nike is a company based on Innovation. It is in our nature to innovate. Think something nobody else thinks, build something nobody else builds, or improve something that already exists. Curiosity is life. Assumption is death.We are looking for a top-tier product manager to define the design, capabilities, and implementation of an evolving data and analytics platform. The Data Product Manager, Consumer Data & Shopper Analytics will work cross functionally with consumer knowledge, business intelligence, data science, engineering, and architecture teams to gather and thoughtfully document feature requirements then drive them through the product development lifecycle. As a team, we're motivated by Nike’s proud legacy of always being first. Join our world-class technologists in finding innovative ways to engage consumers and strengthen their connection to our products, services and brand. The work you do today will help modernize the workplace and prove essential to Nike's future success and growth.The Data Product Manager, Consumer Data & Shopper Analytics must have experience successfully developing enterprise-scale data products and a deep understanding of how progressive reporting and analytics systems are designed, built, and operated. Candidates should have prior data architecture, design, and modeling experience and a deep familiarity with foundational data science. Success in this role will require an ability to understand both stakeholder and partner requirements to define the short and long-term strategy for delivery, document technical product specifications in appropriate detail, and work across engineering and architecture to guide development.The ideal candidate must be able to comfortably maneuver from deep business domain & analysis work to defining technical requirements and prototyping solutions. A leader who has previously contributed to a data platform, data warehouse, or data product technical programs, can influence via great technical requirements and engineering partnerships, and is excited to work in a dynamic data environment with a strong set of teammates will be a great fit for this role.Key Responsibilities: Use your distributed computing, database, analytics background to drive the vision for connected commerce analytics across all channels
Write, drive, and prioritize thoughtful and detailed functional specifications for data ingestion, data cleansing, data quality, analytic processing, BI, and data science use cases then drive them via an Agile development methodology
Become a subject matter expert across Nike Direct landscape Retail and Commerce data flows
Work with data scientists and engineers to develop optimal data pipelines
QualificationsBachelor’s Degree in Computer Science, MIS, other quantitative disciplines, or related fields
2-4 years of relevant product experiences that can translate into defining platform vision and working with the best engineers, analysts and data scientists
Experience writing detailed technical specifications describing requirements for data movement, transformation, storage, quality checks, and read latency
Incredible attention to detail, with structured problem solving approach
Excellent communications skills (written and verbal)
Strong influence & interpersonal skills
Understanding of the Consumer Attribution and Data collection process
Understanding of data architecture, data taxonomy, and both structured and unstructured data
Ability to understand the technical implementation trade-offs to ensure that requirements are not misunderstood or being ignored by a given implementation plan
Experience with agile development methodologies
Considerable experience with at least one Hadoop distro and associated tools
Experience with data transformation and BI tools
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job ID 00380971