Senior Manager, Data Analytics

Senior Manager Of Data Analytics

The Senior Manager of Data Governance will lead and oversee Sourcing's data governance strategy, ensuring data quality, consistency, and compliance across all business units. This role is responsible for implementing data governance frameworks, policies, and standards that align with the company's strategic objectives. The Senior Manager will work closely with cross-functional teams to promote data stewardship, enforce data governance practices, and drive the adoption of data governance tools and methodologies. The ideal candidate will have a deep understanding of data management principles, strong leadership skills, and the ability to influence and engage stakeholders at all levels of the organization.

About the team :

The Data Governance team is dedicated to ensuring the integrity, availability, and security of the organization's data assets. Composed of experienced data professionals, the team develops and enforces data governance policies, standards, and best practices to support Sourcing's strategic goals. We work collaboratively with various departments to promote data stewardship, manage data quality, and ensure compliance with regulatory requirements. Our mission is to create a data-driven culture where data is trusted, well-managed, and used effectively to drive business insights and decision-making. The team is committed to continuous improvement, innovation, and fostering a culture of accountability and transparency in data management practices.

What you'll do :

Data Source Identification

Lead the identification and evaluation of data sources to ensure they meet business requirements and are fit for purpose.

Collaborate with cross-functional teams to understand data needs and priorities, ensuring alignment with business objectives.

Conduct initial data quality checks to validate the integrity and reliability of data sources.

Data Strategy

Develop and implement comprehensive data governance frameworks, policies, and standards that align with the organization's strategic goals.

Articulate and apply data strategy principles to address complex business problems and drive data-driven decision-making.

Ensure the data strategy supports the unlocking of monetary value from data assets and aligns with regulatory and compliance requirements.

Tech Problem Formulation

Translate business problems into data-related or mathematical solutions, identifying appropriate methods and tools to address these challenges.

Provide thought leadership on the application of analytics, big data technologies, and automation techniques to solve business problems.

Share use cases and best practices to demonstrate the effectiveness of proposed solutions.

Program Management

Oversee and deliver large-scale data and analytics programs, ensuring alignment with business goals, milestones, and requirements.

Exploratory analysis and Data Visualization

Recommend and implement advanced data visualization tools and techniques to effectively communicate data insights.

Work with stakeholders to design appropriate data representations for complex datasets, ensuring clarity and usability.

Build compelling visual stories that integrate multiple pieces of information to provide cohesive insights and drive decision-making.

Data Quality Management

Promote and educate the organization on data quality management techniques and the importance of data governance.

Develop and enforce data quality standards, frameworks, and metrics to continuously measure and monitor data quality.

Manage data quality issues, leading data cleansing activities and ensuring compliance with data governance policies.

Understanding Business Context

Evaluate and translate business requirements into data governance strategies, initiatives, and projects.

Build and articulate business cases for data governance projects, demonstrating their return on investment and value to the organization.

Mentor team members on understanding business contexts and aligning data governance practices with business objectives.

Leadership and Collaboration

Lead and mentor a team of data professionals, fostering a culture of continuous improvement and innovation.

Collaborate with business partners, managers, and key stakeholders to ensure the successful implementation of data governance initiatives.

Promote a culture of accountability, transparency, and ethical data management practices across the organization.

What you'll bring :

Extensive Knowledge of Data Governance : In-depth understanding of data governance frameworks, policies, standards, and best practices.

Data Management Expertise : Proficiency in data management principles, including data quality, data integration, data modeling, and data architecture.

Experience with Database Technologies : Strong knowledge of database technologies and distributed datastores (e.g., SQL, NoSQL).

Analytical and Problem-Solving Skills

Advanced Data Visualization Skills

Business Acumen : Strong understanding of business contexts, industry factors, and relevant business metrics to align data governance practices with strategic objectives.

Project Management : Proven experience in leading and managing data governance projects, including developing business cases, setting priorities, and delivering results.

Regulatory Compliance : Familiarity with regulatory and ethical requirements related to data privacy, security, storage, and retention.

Collaboration and Communication : Excellent communication and interpersonal skills to work effectively with cross-functional teams, stakeholders, and senior leadership.

Strategic Thinking : Ability to develop and implement data governance strategies that support the organization's long-term goals and drive data-driven decision-making.

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 experts, 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.

Walmart's culture is a competitive advantage, and it's fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our hubs : Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York / New Jersey.

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.

The annual salary range for this position is $90,000.00-$180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

• Stock

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 :

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 :

703 Associate Drive, Bentonville, AR 72716, United States of America