To Identify possible options to address the data management problems within finance/ master data area through relevant analytical methodologies. Demonstrates an understanding of use cases and desired outcomes.

Understanding Business Context
Requires knowledge of: Industry and environmental factors; Common business vernacular; Business practices across product, finance, and technology and in-depth knowledge of related practices; Directly relevant business metrics and business areas

To Support the development of business cases and recommendations. Drives the delivery of project activity and tasks assigned by others. Supports creation of new processes, process updates and changes. Supports, under guidance, the research and resolution of business issues.

Data Source Identification
Requires knowledge of: master data, categories of master data, attributes of master data , SAP and Oracle master data systems, master data creation, dissipation and dissolution processes, familiarity with google cloud and azure cloud processes and where it is held; Business data requirements; Database technologies and distributed datastores (e.g. SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success
To Understand the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable sources of data. Maintains awareness of data quality.

Data Quality Management
Requires knowledge of: Data quality management techniques and standards; master data and business metadata definitions and content data definitions; Data profiling tools, data cleansing tools, data integration tools, and issues and event management tools; Understanding of user's data consumption, data needs, and business implications; Data modeling, storage, integration, and warehousing; Data quality framework and metrics; User access best practices; Enterprise data architecture, modeling and design, storage, integration, and warehousing; Enterprise data quality framework and metrics; Enterprise data strategy; Enterprise data quality strategy; Enterprise strategy to address regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation

To Promote and educate team members on data quality awareness. Profiles, analyzes, and assesses data quality. Tests and validates data quality requirements. Continuously measures and monitors data quality. Delivers against data quality service level agreements. Manages operational Data Quality Management procedures. Manages data quality issues and leads data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data. Determines user accessibility and removes or restricts user access as needed. Interprets company and regulatory policies on data. Educates team members on data governance processes, practices, policies, and guidelines. Supports automated recons by understanding detailed logic and CCM (Continuous Control Monitoring) to ensure quality and controls.

Master Data and Metadata Management
Requires knowledge of: Understanding of user's data consumption, data needs, and business implications; Data modeling, storage, integration, warehousing, and relational databases; Data value chains (for example, identification, ingestion, processing, storage, analysis, and utilization); Master data, golden records, data hierarchies, and connections to transactional data; Business, technical, process, and operational metadata architecture, standards, definitions, and repositories; Regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation; Master data management applications, database management systems, data and process modeling tools, relational database tools, data profiling tools, and data integration tools;

To understand business domain master integration and metadata requirements. Implements master data management solutions and manage metadata environments. 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 fixed guidelines. Implements the integration of new data sources and metadata. Replicates and distributes master data. Distributes and delivers metadata. Queries, reports, and analyzes metadata. Educates team members on master data and metadata management processes, practices, policies, and guidelines.

Data Governance
Requires knowledge of: Data value chains; Data processes and practices; Regulatory and ethical requirements around data; Data modeling, storage, integration, and warehousing; Data value chains (identification, ingestion, processing, storage, analysis, and utilization); Data quality framework and metrics; Regulatory and ethical requirements around data privacy, security, storage, retention, and documentation; Business implications on data usage; Data Strategy' Enterprise regulatory and ethical policies and strategies

To Establish, modify, and document data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and team members. Interprets company and regulatory policies on data. Educates team members on data governance processes, practices, policies, and guidelines. Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.

Support various governance councils for master data, lead socialization with stakeholders, prepare information for discussion and facilitate decision making.

Data Strategy
Requires knowledge of : Understanding of business value and relevance of master 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 etc.; Understanding of the methods and applications that unlock the monetary value of data assets
To Understand, articulate, interpret, and apply the principles of the data defined strategy to unique, moderately complex business problems that may span one or more functions or domains.

Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining relationships with key stakeholders; supporting plans and initiatives to meet customer and business needs; identifying and communicating goals and objectives; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; and demonstrating adaptability and promoting continuous learning.
Provides supervision and development opportunities for associates by hiring and training; mentoring; assigning duties; providing recognition; and ensuring diversity awareness.

Ensures compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by implementing related action plans; utilizing and supporting the Open Door Policy; and providing direction and guidance on applying these in executing business processes and practices.

System Implementations

Knowledge of SAP and Oracle master data tools and Support various system implementations globally and own various steps including design, testing, validations, go live and hyper care. Ability to retrieve data from SAP, Oracle systems and other data bases including clouds sources.

Live our Values:Servant Leadership - Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.
Embrace Change:Curiosity & Courage - Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Embrace Change:Digital Transformation & Change - Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.

Deliver for the Customer:Customer Focus - Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans.

Deliver for the Customer:Strategic Thinking - Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.

Focus on our Associates:Diversity, Equity & Inclusion - Identifies, attracts, and retains diverse and inclusive team members; builds a high-performing team; embraces diversity in all its forms; and actively supports diversity goal programs.

Focus on our Associates:Collaboration & Influence - Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.

Focus on our Associates:Talent Management - Creates a discipline and focus around developing talent, promotes an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others' contributions and accomplishments.

Live our Values:Culture Champion - Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.

Benefits:
Benefits: Beyond our great compensation package, 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.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
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For information about PTO, see https://one.walmart.com/notices .

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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
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For information about benefits and eligibility, see One.Walmart .

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The annual salary range for this position is $70,000.00-$130,000.00
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Additional compensation includes annual or quarterly performance bonuses.
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Additional compensation for certain positions may also include:
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- Stock
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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 area and 3 years' experience in data stewardship, data management, database administration, data analytics, or related area.
Option 2: 5 years' experience in data stewardship, data management, database administration, data analytics, or related area.
Option 3: Master's degree in business, mathematics, finance, computer science,
data architecture, or related area and 1 year's experience in in data stewardship, data management, database administration, data analytics, or related area.

Preferred Qualifications...

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

Master's degree in mathematics, finance, computer science, data architecture, or related area.

Primary Location...

805 Se Moberly Ln, Bentonville, AR 72712, United States of America