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# Manager, Tax Technology

- **Company:** Kpmg LLP
- **Location:** United States
- **Experience:** Expert
- **Salary:** $153,425.0 - $332,695.0
- **Contract:** Permanent contract
- **Skills:** Large Language Models, Data Analytics
- **Published:** May 29, 2026
- **Apply:** https://www.kpmguscareers.com/jobdetail/?jobId=134312

## About the Role

* Minimum eight years of recent experience in data analytics, strategy formulation, product strategy, and business development, preferably within a consulting or advisory capacity
 * Bachelor's degree from an accredited college/university or equivalent work experience; licensed CPA, JD/LLM or EA, in addition to others on KPMG's approved credential listing; any individual who does not possess at least one of the approved designations/credentials when their employment commences, has one year from their date of hire to obtain at least one of the approved designations/credentials; should you like to see the complete list of currently approved designations/credentials for the hiring practice/service line, your recruiter can provide you with that list
 * Proven leadership ability with a track record of inspiring and motivating cross-functional teams toward long-term goals
 * Strong analytical mindset with the capability of underpinning decisions with data and translating complex insights into actionable strategies
 * Exceptional communication and presentation skills; able to distill complex data into compelling narratives for stakeholders at all levels
 * Demonstrated ability to create and implement better processes and efficiencies; creative thinking and problem-solving skills, with a focus on generating new ideas for monetizing data, facilitating business development and Go-To-Market initiatives

## Description

* Identify and capitalize on monetization opportunities through in-depth business insights and collaboration with cross-functional teams
 * Define a compelling multi-year vision for product development and market focus, leveraging comprehensive product, customer, competitive, and financial research
 * Develop and present strategic packaging and pricing recommendations to executive leadership, fostering alignment and buy-in for initiatives; lead discussions with senior stakeholders across various product teams to align on monetization strategies
 * Translate insights into actionable recommendations, guiding cross-functional teams to execute effectively with a long-term perspective
 * Explore avenues for leveraging proprietary insights through strategic partnerships or subscription models to drive revenue growth and enhance profitability
 * Create and implement improved processes to increase efficiency and productivity; develop innovative ideas for better monetizing data sources, focusing on incremental revenue generation and added value


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