Director, Data Analytics

Walmart•Bentonville, AR

1d•Onsite

About The Position

Lead Walmart’s analytics practice for audit, turning data, automation and emerging technology into products that improve audit coverage, identify risk sooner and deliver measurable business results. Partner with audit teams across the organization to develop new ways of working, share knowledge and scale effective solutions while leading and developing an analytics team. The innovation-minded team works with audit teams, business partners and technology functions. It treats analytics as products by identifying important problems, delivering useful solutions and measuring their impact. Its work supports trusted, accessible and responsible data use and adapts as risks, technology and priorities change. The role drives analytics innovation across audit planning, risk assessment, testing and reporting; engages audit teams and stakeholders to co-design solutions and lead adoption; and shares methods and tools through playbooks, demonstrations, communities of practice and mentoring. It owns an analytics product roadmap, defines outcomes and success measures, prioritizes delivery, assesses costs and resources, and reports on adoption, quality, time saved and risk insight. The Director also coordinates technology governance and enterprise compliance for analytics, AI and automation solutions, including security, privacy and other applicable reviews and approvals. The role identifies and assesses data from existing systems and distributed stores, performs quality checks and analysis, and communicates findings through compelling visualizations and stories. It advances data strategy, quality, governance and responsible use, including access, privacy, security, storage, retention and documentation practices. It recruits, develops and mentors talent and fosters a curious, adaptable team grounded in Walmart’s integrity and ethics standards.

Requirements

Bachelor’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or a related field and 5 years of experience in data analysis, data science, statistics or a related field; or a master’s degree in a listed or related field and 3 years of such experience; or 7 years of such experience.
2 years of supervisory experience.
Experience leading innovation and delivering solutions with a product mindset, including defining success measures and reporting measurable impact and business value.
Strong analytical background, including exploratory data analysis and statistical methods such as hypothesis testing, confidence intervals, correlation and statistical modeling.
Experience using analytical tools or languages such as SQL, Python, SAS, Oracle, Apache Mahout or Excel.
Experience identifying and working with data across business systems and distributed data stores, including SQL and NoSQL technologies, and understanding data modeling, integration, storage and warehousing.
Experience creating visualizations and communicating insights using tools such as Tableau, Power BI, Python or R, including libraries such as Matplotlib, Plotly or ggplot, and explaining findings to audiences ranging from analysts to executives.
Leadership experience engaging peers and stakeholders across teams, driving change, developing others and sharing knowledge through mentoring, coaching or teaching.
Ability to adapt to changing priorities, technology and risks, constructively challenge assumptions and keep teams focused on delivery.
Knowledge of data management and governance, including data quality frameworks, profiling and cleansing tools, access practices, and privacy, security and retention requirements.
Knowledge of business practices and metrics in functions such as product, finance, technology, business systems or audit.

Nice To Haves

PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics or a related field.
Related industry experience, for example in retail, merchandising, healthcare or eCommerce.
Successful completion of assessments in data analysis and business intelligence tools and scripting languages such as SQL, Python, Spark, Scala, R, Power BI or Tableau.
Supervisory experience.

Responsibilities

Identify opportunities to apply analytics, automation and emerging technology to audit planning, risk assessment, testing and reporting; prototype ideas and deliver solutions with measurable success criteria and return on investment.
Partner with audit teams to understand their work, co-design suitable solutions, influence stakeholders and lead adoption of new ways of working.
Introduce tools, methods and ideas to audit teams and share knowledge through playbooks, demonstrations, communities of practice and mentoring.
Own an analytics product roadmap connecting audit priorities to analytics and technology delivery; define customers, problems and outcomes, prioritize work, assess costs and resources, deliver incrementally, and report on results.
Ensure analytics products, AI solutions and automation initiatives meet enterprise technology, security and governance requirements.
Lead and coordinate internal review and approval processes, including Solution Security Plan (SSP), Enterprise Privacy Risk Assessment (EPRA) and other applicable reviews.
Partner with Information Security, Privacy, Compliance and Technology teams to identify risks, address requirements and obtain approvals before deployment.
Identify fit-for-purpose data across existing systems and distributed data stores, perform data quality checks and use exploratory analysis, statistical methods and models to test hypotheses and surface insights.
Select visualization tools and communicate findings clearly to analysts, audit leaders and executives; partner with user experience designers and engineers when front-end applications are needed.
Apply and influence data strategy across audit and business domains; define data quality rules, metrics and service-level strategies; recommend governance improvements; manage user access as needed; and support privacy, security, storage, retention and documentation requirements.
Recruit, develop and mentor talent, identify capability gaps, support succession planning and continuous learning, and foster an adaptable team grounded in Walmart’s standards of integrity and ethics.