Position Summary...

What you'll do...

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make and drives us to create the future of retail. We can’t do that without the best talent – the talent that is innovative, curious, and driven to create exceptional experiences for our customers.  

Position Description:

The Principal Data Steward will function as part of the Walmart US Merchandising team. As a business and data expert and a solution consultant in Merchandising, you will play a leadership role in guiding the team and Merch to unlock value from data. This will include understanding business concepts, identifying data assets, developing business glossaries, and helping Merchants to unlock insights from data. All this while working with a great team and being part of a culture of fun, engagement and purpose.

As a member of the Walmart Data Governance Community, you are responsible for managing and cataloging Walmart data assets such as KPIs, Reports Applications, Business glossaries and partnering with business and technical stakeholders to onboard business and technical metadata to our Data Governance Center (DGC - Collibra) using established tools and processes and ensuring the overall fitness of our data.

 This role will report to the Sr. Director for Data Enablement

Key Responsibilities

• Drive entrepreneurial and creative solutions to support frictionless & seamless access to data insights for Merchants through automation, process enhancements, analytics and incorporation of existing and new data assets from disparate sources.
• Quickly develop the business knowledge required to support Merchandising function and governance activities
• Partner with business, product to define metrics and KPI’s that drive business results
• Work with the business, product, engineers, and the data stewards from other areas to ensure data best practices are designed and implemented proactively
• Create resilient and sustainable data analysis process and data quality rules.
• Establish guidelines and protocols that govern the proliferation of data to ensure that data controls are enforced
• Ensure the highest quality of data is maintained through the data lifecyle
• Develop a deep understanding and alignment to the Data Governance program and policy requirements
• Hands on development of data assets in the enterprise data catalog
• Be part of a team that works with data stewards across the organization to ensure data best practices are being leveraged and enforced.
• Approve governed data assets and access to data

Job Competencies

Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.

Problem Formulation: Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem.

Data Strategy: Understands, articulates, interprets, and applies the principles of the defined strategy to unique, moderately complex business problems that may span one or main functions or domains.

Data Governance: Establishes, modifies, and documents data governance strategies and initiatives. Provides guidance to business stakeholders, peers, and junior associates on the implementation of data governance practices. Helps business leaders understand and interpret company and regulatory policies around data. Determines data governance processes, practices, policies, and guidelines. Drives the successful adoption of organizational data utilization. Educates others on roles and accountability for data management. Actively participates in external communities to grow and develop deeper understanding of policy and regulatory changes that may happen from a data perspective.

Applied Business Acumen: Evaluates proposed business cases for projects and initiatives. Influences business stakeholder decision making. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables. Builds and articulates the business case and return on investment and delivers work that has demonstrable value. Challenge business assumptions on topics related to one's domain expertise. Develops new organization-wide processes and ways of working. Teaches and guides others on best practices. Proactively engages in the external community to build Walmart's brand and learn more about industry practices.

Master Data and Metadata Management: Understands business domain master integration and meta data requirements. Implements master data management solutions and manage metadata environment. Manages and maintains metadata standards and data rules. Manages and maintains "golden" records. Leads changes and revisions to master data, metadata, and data hierarchies and affiliations within given guidelines. Implements integration of new data sources and metadata. Replicates and distributes master data. Distributes and delivers metadata. Queries, reports, and analyzes metadata. Educates others on master data and metadata management processes, practices, policies, and guidelines.

Data Quality Management: Develops and evangelizes data quality awareness. Determines data quality strategy, metrics, and business rules for a business domain to ensure that data is fit for purpose. Sets and evaluates business domain data quality service level strategy. Designs and implements operational Data Quality Management (DQM) procedures. Monitors operational DQM procedures and performance. Leads data quality initiatives to deliver increased business performance and effectiveness. Determines user accessibility and removes or restricts user access as needed. Provides recommendations to leadership on needed updates or inputs into data governance policies, practices, and guidelines.

You’ll sweep us off our feet if…  

• You are passionate about people, creating value, data, and retail.
• You are a team player with the courage to drive change through disruption while maintaining respect for the team.
• You are inquisitive, focused, organized, and an abstract thinker.
• Data Quality is an essence of your work culture.
• Exhibit excellent ability to understand business concepts very quickly.
• You have experience working in Walmart Merchandising Teams or serving in Walmart’s vendor community.
• You have a demonstrated track record and hands-on experience in data management/data stewardship areas, including use of Collibra or other data profiling and curation tools
• You have an understanding of data concepts, including data design and modelling, as well as SQL, BI tools (Excel, Tableau, Looker, or Power BI) and Big data.
• Working knowledge of Python, R, or VBA is a plus.

The above information has been designed to indicate the general nature and level of work performed in the role.  It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. 

Qualifications 

• Bachelor’s degree in Business, Analytics, Statistics, Computer Science or related field and 6 years’ experience in data analytics, project management, business, or related area OR 8 years’ experience in data analytics, project management, business, or related area.
• Experience with data analysis, data documentation, data quality monitoring and improvement.
• Strong understanding of organization’s needs and ability to drive change
• Strong leadership and communication skills as well as the ability to influence key decision-makers and understand their points of view 
• Must be able to work effectively both on teams as well as be self-motivated, task oriented, and organized.
• Strong customer focus and obsession with quality
• Ability to work in a fast-paced and agile development environment

Benefits & Perks:  

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.  

Equal Opportunity Employer  

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.  

Who We Are 

Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement.  From day one, you’ll be empowered and equipped to do the best work of your life. careers.walmart.com  

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Mathematics, Finance, Computer Science, Data Architecture, or related field and 5 years' experience in data stewardship, data management, database administration, data analytics, or related field. Option 2: 7 years’ experience in data stewardship, data management, database administration, data analytics, or related field. Option 3: Master's degree in Business, Mathematics, Finance, Computer Science, Data Architecture, or related field and 3 years' experience in in data stewardship, data management, database administration, data analytics, or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data Management certification (for example, Certified Data Management Professional), Driving taxonomy development and application particularly with large and complex sets of information, Industry experience (for example, retail, supply chain, eCommerce, healthcare), Master's degree in Mathematics, Finance, Computer Science, Data Architecture

Primary Location...

702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America