Job was saved successfully.
Job was removed from Saved Jobs.

Job Details


Walmart

(USA) Senior Manager II, Data Stewardship, eComm - Data Quality (8261_R-1107582)

Retail

All

Yearly

No

Bentonville, Arkansas, United States

Position Summary...

What you'll do...

Tech Problem Formulation

  • To translate/ co-own business problems within one's discipline to data related or mathematical solutions.
  • Identifies appropriate methods/tools to be leveraged to provide a solution for the problem.
  • Shares use cases and gives examples to demonstrate how the method would solve the business problem.


Requires knowledge of:
  • Data Quality process and methodology
  • Understanding of end-to-end Data Analysis and Data Engineering processes
  • Analytics/big data analytics / automation techniques and methods
  • Business understanding
  • Precedence and use cases
  • Business requirements and insights.


Data Quality Management
  • 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.
  • 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.


Requires knowledge of:
  • Data quality management techniques and standards
  • 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.


Understanding Business Context
  • To provide recommendations to business stakeholders to solve complex business issues.
  • Develops business cases 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.
  • Serves as an interpreter and conduit to connect business needs with tangible solutions and results.
  • Identify and recommend relevant business insights pertaining to their area of work.


Requires knowledge of:
  • Industry and environmental factors
  • Common business vernacular
  • Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices
  • Directly relevant business metrics and business areas.


Data Source Identification
  • To 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.
  • Reviews the deliverables of junior associates and provides guidance on data source and quality.


Requires knowledge of:
  • Functional business domain and scenarios
  • Categories of data 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.


Data Governance
  • To 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.
  • 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 political and regulatory changes that may happen from a data perspective.


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.


Master Data and Metadata Management

  • To 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.
  • Leads the implementation of master data management solutions and managed metadata environments for business domains.
  • Defines and matches data rules.
  • Establishes and manages "golden" records.
  • Creates, defines, and manages metadata and data hierarchies and affiliations.
  • Creates and revises master data and metadata management processes, practices, policies, or guidelines.


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
  • 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.


Data Strategy
  • To 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.


Requires knowledge of:
  • 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 etc
  • Understanding of the methods and applications that unlock the monetary value of data assets.


Drives the execution of multiple business plans and projects by
  • identifying customer and operational needs
  • developing and communicating business plans and priorities
  • removing barriers and obstacles that impact performance
  • providing resources
  • identifying performance standards
  • measuring progress and adjusting performance accordingly
  • developing contingency plans
  • demonstrating adaptability and supporting continuous learning.


Provides supervision and development opportunities for associates by
  • selecting and training
  • mentoring
  • assigning duties
  • building a team-based work environment
  • establishing performance expectations and conducting regular performance evaluations
  • providing recognition and rewards
  • coaching for success and improvement; and ensuring diversity awareness.


Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by
  • training and providing direction to others in their use and application
  • ensuring compliance with them
  • utilizing and supporting the Open Door Policy.


Ensures business needs are being met by
  • evaluating the ongoing effectiveness of current plans, programs, and initiatives
  • consulting with business partners, managers, co-workers, or other key stakeholders
  • soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness
  • participating in and supporting community outreach events.


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, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.


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.


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.


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.


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.


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.


#LI-MF4

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.
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 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, Supervisory

Primary Location...
2608 Se J St, BENTONVILLE, AR 72712, United States of America