Senior Manager, Data Stewardship
About the team
The Business Analysis and Insights team transforms complex data into actionable strategies that enhance operational and financial performance. Collaborating across functions, the team identifies opportunities, improves processes, and supports long-term growth through data-driven decision-making. By partnering with stakeholders, it develops scalable solutions and advances reporting capabilities. Focused on continuous improvement, the team drives initiatives aligned with organizational goals, ensuring efficiency and effectiveness. Members deliver insights that influence strategic planning and operational excellence, fostering a results-oriented environment that supports sustainable business success.
What you'll do
- Develop and implement enterprise data governance strategies, ensuring alignment with regulatory and ethical standards.
- Lead data quality initiatives by defining metrics, monitoring performance, and driving continuous improvement across business domains.
- Collaborate with stakeholders to translate business requirements into data management solutions that support organizational objectives.
- Oversee master data and metadata management, establishing standards and maintaining data hierarchies and golden records.
- Guide teams in applying data stewardship best practices, providing mentorship and fostering accountability.
- Identify and recommend data sources, ensuring data is fit for purpose and accessible to users.
- Drive adoption of data governance policies and educate business leaders on compliance and data utilization.
What you'll bring
- Extensive experience in data governance, data quality management, and enterprise data strategy implementation.
- Proven ability to develop and enforce data quality frameworks, metrics, and operational procedures.
- Strong knowledge of metadata management, master data integration, and data modeling techniques.
- Expertise in translating complex business requirements into data-driven solutions aligned with organizational goals.
- Demonstrated leadership in guiding teams, mentoring associates, and driving cross-functional collaboration.
- Proficiency in regulatory and ethical data policies, ensuring compliance with privacy and security standards.
- Skilled in project management and business analysis within large corporate environments.
Benefits
- Health benefits including medical, vision and dental coverage.
- Financial benefits including 401(k), stock purchase and company-paid life insurance.
- Paid time off benefits including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
- Other benefits including short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
- Live Better U education benefit program for full-time and part-time associates, covering high school completion to bachelor's degrees, English Language Learning, and short-form certificates with tuition, books, and fees completely paid.
Pay
Bentonville, Arkansas: $80,000.00 - $155,000.00 annual salary range. Sunnyvale, California: $104,000.00 - $202,000.00 annual salary range. Additional compensation includes annual or quarterly performance bonuses and may include stock.
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 data stewardship, data management, database administration, data analytics, or related field.
- 1 year's supervisory experience.
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 experience.