Senior Manager, Global Treasury & Financial Services

Join us to lead the AI wave in the Global Treasury & Financial Services organization at Microsoft.

The mission of Global Treasury & Financial Services (GTFS) is to enable our customers and partners to achieve more by accelerating their digital transformation with innovative financial solutions and to optimize our cash. We manage and protect $100B+ financial portfolios and are a compliance first organization with customer obsession focus.

The Data Analytics Team is a global team that functions as a strategic partner and key AI initiative leader within GTFS, working closely with business leaders, subject matter experts, and engineering resources to extract insights from data and support decision automation, envision and deliver AI innovations, and other forms of data-driven decision-making.

As a Senior Manager, Global Treasury & Financial Services, your initiative and eagerness to master new processes and business areas will be instrumental. Your ability to dissect data to unearth insights and identify opportunities for leveraging Machine Learning (ML), generative AI, and automation are crucial. With a talent for navigating through uncertainty and an aptitude for problem-solving and teamwork, you'll play a key role in our continuous pursuit of excellence.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Required/Minimum Qualifications

• Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 4+ years experience in financial analysis, accounting, controllership or finance, or related field
• OR Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership or finance, or related field
• OR equivalent experience.

Additional or Preferred Qualifications

• Experience in building and maintaining models with python or other programming languages is preferred.

• Experience working with data in Microsoft environment Azure Blob, Synapse, Fabric, Dataverse is preferred.

• Experience working with Azure OpenAI services is preferred.

• Growth mindset and fast learning

• Effective communication skills

• Deep cross-organizational influencing skills

Financial Analysis IC4 - The typical base pay range for this role across the U.S. is USD $91,800 - $178,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $117,900 - $195,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

• Microsoft will accept applications for the role until May 29, 2024.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Lead and scope a portfolio of projects.  Outline alternative approaches and identify pros, cons, risks and provide recommended approaches.

• Collaborate across internal and external teams to envision AI solutions and ensure alignment.

• Develop a deep understanding of GTFS business and leverage this expertise to articulate and recommend data driven strategies.

• Independently write efficient, readable code/models. Develop expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects.

• Define and design feedback and evaluation methods on models. Ensure clear linkage between model and desired business objectives.

• Identify data sources, integrate multiple sources or types of data, apply expertise within a data source to develop methods to compensate for limitations and extend the applicability of data.

• Validate, monitor, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results.

• Maintain a deep knowledge of industry trends, technologies, and advances to drive innovation and develop new solutions, including current and emerging methodologies in automation, AI, and ML.

• Interpret data and communicate/simplify concepts for non-technical audiences.

• Support and educate citizen developers with limited coding experience.

• Embody our culture and values