Senior Manager, Data Analytics And Data Governance

Position Summary...
What you'll do...
Join Walmart as a Senior Manager, Data Analytics and Data Governance and your work could help over 295 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.
As a global retailer, operating from a worldly vantage point is a critical component to our strategy, our ability to connect thoughtfully with our customers and provide a best-in-class experience. As a Senior Manager II, Data Stewardship, you'll be looked to as a leader, an informed practitioner, someone who prides themselves on staying apprised when it comes to global affairs, protocols, regulations, and best practices while empowering their team to do the same. You'll contribute directly to our financial security, ability to plan and conduct business in a way that is fiscally sound and compliant.
Your position is one that is driven by an intellectual curiosity, an unfaltering interest in helping your business partners to achieve their objectives and inspiring your team to do the same. Numbers driven, result-oriented, your expertise will be a pivotal component to our investment strategy, pursuits, and international market position.
This expertise combined with a passion for excellence and inspiring others is what continues to set our Finance Data team apart. Are you ready to join us?
You'll sweep us off our feet if...

• Understand, articulate, interpret, and apply principles of the defined strategy to complex business problems. Leverages experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains.
• Drives the execution of multiple business plans and projects by identifying customer and operational needs
• Develop and communicate business plans and priorities by removing barriers and obstacles that impact performance and providing resources

• You operate as a collaborative partner willing to share your expertise and advice at every phase of the strategic decision-making process
• You lead by example and provide your team with the resources necessary to making decisions with surety.
• You keep a pulse on international market regulations, best practices, developments, and fiscal influences along with leading/working with offshore tech teams.
• You position yourself as a global practitioner, someone who prides themselves on their worldly expertise and leveraging it to empower the broader organization.
• You design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from data
• Interact with engineering teams across geographies to leverage expertise and contribute to the tech community.
• You Utilize tools to deliver trusted analytics across all of Walmart's operating businesses across the globe.

You'll make an impact by being the SME:
Data Quality Management - Use Data quality management techniques and standards to develop and evangelize 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.
Understanding Business Context - provides recommendations to business stakeholders to solve complex business issues. Develops business cases s for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact.
Data Source Identification - understand the priority order of requirements and service level agreements. Defines and identifies the most suitable sources for required data that is fit for purpose, referring to external sources as required. Performs initial data quality checks on the extracted data.
Data Governance - establish, modify, and document 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.
Master Data and Metadata Management - influence business domain master data integration and metadata requirements. Identifies business domain master data sources and contributors. Defines and proactively manages master data integration and the metadata architecture. Develops and manages metadata standards.
Data Strategy - Understanding of business value and relevance of data and Data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability
Preferred Qualifications

• Bachelor's degree in Business, Analytics, Statistics, or related field and 4 years' experience in Data Analytics, project management, business, or related area OR 6 years' experience in Data Analytics, project management, business, or related area;
• Strong SQL (writing complex queries), Microsoft Excel, Tableau, Looker and Qlik Sense dashboard development, or other Data Analytics and visualization tools

• Experience with Data Governance | Data Management,
• Experience with data management and governance tools ( e.g., Collibra, Dataplex, Informatica)
• Experience with large dataset mining tools and open-source programming tools (e.g., SQL, R, Python, Spark)
• 2+ years of experience leading and completing cross-functional projects
• Strong organizational skills including prioritizing, scheduling, time management, and meeting deadlines
• Strong influencing and interpersonal skills
• Detail and results-oriented with sense of urgency
• Comfort with ambiguity

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, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.
1 year's supervisory experience.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau), Supervisory experience
Primary Location...
701 S. WALTON BLVD., BENTONVILLE, AR 72716-6209, United States of America