Director, Data Management

Found in: Jooble US O C2 - 2 weeks ago

San Bruno CA, United States Walmart Full time

The ideal candidate is a leader who can successfully develop and manage a diverse team. You will solve client problems while providing exceptional service and help develop new business opportunities.

Code Development and Testing: Requires knowledge of coding languages like SQL, Java, C++, Python and others; Testing methods such as static, dynamic, software composition analysis, manual penetration testing and others; To write code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Test the code using the appropriate testing approach. Deploy software to production servers. Requires knowledge of Analytics/big data analytics / automation techniques and methods; To analyze the business problem within one's discipline and questions assumptions to help the business identify the root cause. Data Source Identification: 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; To evaluate proposed business cases for projects and initiatives. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables. Proactively engage in the external community to build Walmart's brand and learn more about industry practices.

Data Visualization: Requires knowledge of Visualization guidelines and best practices for complex data types; Multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.); Multiple story plots and structures (OABCDE); Emotional intelligence. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end applications.

Exploratory data analysis methods and techniques; graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.); Advanced excel techniques and Programming languages like R/Python; To select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Interpret data to identify trends to go across future data sets.

Impact of variables and features on model performance To identify and review model evaluation metrics based on analytical requirements. Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness. Ensure testing information is documented and maintained by the team.

Data Strategy: 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. Leverage experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains.

Model Deployment and Scaling: Requires knowledge of impact of variables and features on model performance; To deploy models or model ensemble and ensure sustainability and maintenance overtime. Implement model monitoring and model life-cycle management practices. developing, communicating, building support for, and implementing business strategies, plans, and practices; supporting mentorship, workforce development, and succession planning; and supporting the Open Door Policy.

Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading key community outreach and involvement initiatives; and supports Walmart’s commitment to communities, social justice, corporate social responsibility, and sustainability; fosters an environment that supports learning, innovation, and intelligent risk-taking;

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