With a vision to "Build and sell intelligent cloud and intelligent edge solutions with partners, empowering people and organizations to achieve more," Global Channel Partner Sales (GCPS) is responsible for driving revenue outcomes with partners through innovative solutions–at scale! The Global Partner GTM, Programs, & Operations (GPO) organization within GCPS brings together the go-to-market strategy, programs, and platforms to accelerate growth and improve partner experience across all partner segments.
The Channel Commerce Strategy & Enablement team is looking for a highly motivated individual to lead and enable the required reporting and analytics of the Cloud Solutions Provider (CSP) authorization ecosystem. This role is critical to ensure we have accurate and timely insights to evolve and transform the impact of this channel. This role works in partnership with Commercial Engineering and AI teams, operations and program compliance teams to determine preferred factors and/or data types/frameworks to include in the evaluation of business, and/or operational decisions that will provide the most relevant assessment of impact. Establishes and leverages working relationships within and across teams to ensure quality data sources, methodologies, and analytical tools and processes; driving their adoption to address business needs and deliver key insights and results. Drives the implementation of methods that create efficiency in core work related to analytics and reporting that are reusable, readily discoverable, self-service, and directed to meaningful interpretation of data that drive business decisions and impact across teams in support of the CSP authorization evolution strategy and execution, including recommending program improvements to achieve strong partner satisfaction and growth of the CSP channel contribution.
As this role will work alongside many stakeholders, it will require a balance of leadership and influence skills to support the broader strategic and insights needs of the team.
Responsibilities
Data Analysis
Leads execution of analyses, resolve analytical challenges, interpret results, address business questions with actionable insights, identify tools and reports gaps and recommend improvements to Commerce Engineering and AI teams.
Evaluation
Determines preferred factors and/or data types/frameworks , anticipate risks, synthesize across evaluation outcomes and recommend actions to meet strategic goals.
Expertise in Data
Establishes themselves as an expert in data types and sources, address gaps and quality issues with data providers, collaborate with data engineers, understands and ensures governance and security (encryption, role restrictions) of reports and insights in alignment with policies.
Improvement, Efficiency, and Innovation
Drives standardization, scalable insights, ensuring insights and reports are reusable, discoverable and self-serviceable.
AI, Automation, and Innovation
Drives the AI and automation strategy for CSP authorization analytics and reporting. Identifies, prioritizes, and implements high-value opportunities to automate manual workflows, accelerate insight generation, improve data quality, and enable proactive identification of business and program risks.
Orchestration and Collaboration
Builds strong cross-team relationships to promote quality data, methodologies, and analytical tools; encourages their use to meet business needs and provide insights. Shares expertise and proven resources to support analysis, reporting, and results interpretation.
Presentation of Results
Develops and guides others' work on presentations of analyses, including dashboards, reports, data visualizations, self-service platforms, slides, and talking points that synthesize insights into a story that influences senior stakeholders' decision making and drives business outcomes. Improve efficiency of reporting and presentations.
Understanding the Business
Link impact of internal/external trends on the business to proactively identify and address business concerns, translate stakeholders’ needs into technical requirements to develop appropriate solutions with Commerce Engineering and AI teams.
Qualifications
Required Qualifications
- Bachelor's Degree in Business, Operations, Finance, or related field AND 6+ years experience in program management, process management, or process improvement OR equivalent experience.
Preferred Qualifications
Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 6+ years’ experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.
Strong understanding of channel partner ecosystem, preferably Cloud Solutions Providers.
Demonstrated experience applying AI, machine learning, advanced analytics, or intelligent automation to solve business problems and transform operational processes.
Strong organizational, planning and analytical experience, ability to analyze and interpret business performance measures.
Strong cross-group coordination across all levels, organizational and analytical skills, the ability to work independently and take initiative to drive projects forward, the ability to deal with ambiguity and provide structure for others.
Strong problem-solving skills, attention to detail, an ability to work effectively under pressure and within short time constraints, resourcefulness and able to deal with ambiguity, prioritize while multi-tasking and maintain flexibility in the performance of the job responsibilities. Embracing change is essential.
Ensures organizational readiness for business demands and meets challenging timelines in a fast-paced environment.
Executive Relations: The ability to interact confidently with senior leaders in a highly-matrixed organization to present/defend/clarify concerns or issues regarding an existing project, program, or solution. This includes the ability to confidently address difficult questions, handle pushback from a high-level audience, and maintain an executive demeanour while engaging in challenging or sometimes high-pressure situations
Business Program Management IC5 - The typical base pay range for this role across the U.S. is USD $116,900 - $203,600 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 $148,400 - $222,600 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Bachelor’s degree in Business, Operations, Finance, or a related field, plus 6 or more years of experience in program management, process management, or process improvement, or equivalent experience.
- Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics, or a related field, plus 6 or more years of experience in data analysis and reporting, business intelligence, or business and financial analysis, or equivalent experience.
- Strong understanding of the channel partner ecosystem, preferably Cloud Solutions Providers.
- Experience applying AI, machine learning, advanced analytics, or intelligent automation to solve business problems and transform operational processes.
- Strong organizational, planning, analytical, problem-solving, and business performance interpretation skills.
- Strong cross-group coordination, ability to work independently, initiative, and ability to manage ambiguity and competing priorities.
- Ability to work effectively under pressure, meet challenging timelines, adapt to change, and operate in a fast-paced environment.
- Ability to interact confidently with senior leaders, present or defend project and program concerns, handle difficult questions, and maintain executive professionalism.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
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