KLA Tax Technology Data Science Manager 

United States, Michigan, Ann Arbor 

397606099

Tax department is looking for a multifaceted individual who can communicate effectively across various functional areas and has excellent hands-on problem-solving, and analytical skills. This person will elevate the operational efficiency and data management in the tax department.

• Collaborate with cross-functional teams across the organization to understand business objectives and provide technological support.

• Design and implement technology/process improvement projects.

• Maintain and improve internal and external applications as needed by tax and finance teams.

• Build and maintain visual analytics for tax and finance.

• Design, develop, and maintain data models for interactive visual analytics in Power BI.

• Recommend and/or implement solutions surrounding the extraction, transformation, and storing of data sets.

• Interpret data and translate trends in key performance indicators to build predictive forecasts for collaborators.

• Develop and enforce data governance policies to ensure accuracy, consistency, and completeness by implementing data validations.

• Develop creative efficient solutions to unstructured issues.

• Stay up-to-date with current industry trends, applications, and methods related to data analysis.

• Document tax technology requirements, processes, and procedures.

• Serve as mentor and subject matter authority for tax team members.

• Serve as a liaison between tax and IT functions to support the various technology projects.

Minimum Qualifications

• 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years’ experience.
• Experience in data management, data manipulation, and data visualization. Preferably in tax/finance function.
• Proficiency in database querying language (e.g., SQL, GraphQL, LINQ).
• Experience with Microsoft 365 suite, Alteryx, SAP, and Snowflake.
• Experience with generative AI a plus.
• Ability to quickly learn and adapt to changing environments.
• Excellent written and oral communication skills.
• Strong ability to apply standard methodologies to organize and prioritize tasks.
• Ability to work independently as well as with collaborators.
• Multifaceted, meticulous, and analytical problem solver with goal towards efficiency and process improvement.