Leads discussions with customer stakeholders and decision makers to identify, qualify, prioritize and accelerate sales opportunities. Supports the development of solutions to enable AI- and cloud-driven transformations for existing and new customers within the region. Engages in sales pipeline reviews to drive forecasting accuracy and maintains sales and/or consumption pipeline hygiene to enable tracking to achieve assigned sales metrics using all available tools, resources, and processes. Analyzes business and emerging opportunities to improve the customer portfolio and encourage customer innovation, while leveraging technology to drive growth. Assesses and qualifies sales opportunities following sales frameworks and guidelines, utilizing AI-driven insights and tools to provide personalized solutions, tailored recommendations, and strategic guidance that foster long-term trusted relationships throughout the customer sales journey, while incorporating and aligning within the customer’s security priorities.
Leads discussions with customer stakeholders and decision makers to identify, qualify, prioritize and accelerate sales opportunities. Leverages whitespace analysis and partners with others to identify business opportunities and market gaps within the assigned market domain, utilizing AI-driven market intelligence tools to assess trends and insights. Evaluates solution area(s) and market and develops insights to align sales plays with customer business priorities and outcomes, incorporating AI-driven predictive analytics to forecast future market needs. Partners with others cross-organizationally and supports the development of solutions to enable AI- and cloud-driven transformations for existing and new customers within the region, emphasizing the integration of cutting-edge AI technologies and cloud services. Engages in sales pipeline reviews with internal stakeholders to drive forecasting accuracy and meeting sales targets, ensuring the use of AI-powered analytics and forecasting tools to enhance precision. Drives sales strategies tailored to each customer's security priorities, showcasing Microsoft's dedication to secure, AI-powered transformation and addressing their specific needs within the customer success plan.
Responsibilities
Qualifications
- Demonstrated experience leading AI strategy, transformation, or innovation initiatives within a major insurance carrier, broker, or financial services organization.
- Deep expertise designing and implementing enterprise AI solutions leveraging Microsoft Azure AI, AWS AI/ML, and/or Google Cloud AI platforms.
- Proven success serving as a trusted advisor to executive stakeholders and customer-facing teams, translating business objectives into scalable AI adoption strategies.
- Experience leading or operating an AI Center of Excellence (COE), including governance, operating models, talent planning, and AI program execution at scale.
- Ability to support AI growth planning through capacity management, resource forecasting, and quota management aligned to evolving customer demand and business priorities.
- Strong understanding of AI adoption frameworks, responsible AI practices, and organizational change management within highly regulated industries such as insurance and financial services.
Solution Area Specialists IC4 - The typical base pay range for this role across the U.S. is USD $107,600 - $187,500 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 $145,600 - $205,600 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 Computer Science, Information Technology, Business Administration, Information Security, or a related field, plus 4+ years of technology-related sales or account management experience, or equivalent experience.
- Master's degree in Business Administration, Information Technology, Information Security, or a related field, plus 6+ years of technology-related sales or account management experience, or equivalent experience.
- Bachelor's degree in Computer Science, Information Technology, Business Administration, Information Security, or a related field, plus 8+ years of technology-related sales or account management experience, or equivalent experience.
- 4+ years of solution or services sales experience.
- Experience leading AI strategy, transformation, or innovation initiatives within a major insurance carrier, broker, or financial services organization.
- Expertise designing and implementing enterprise AI solutions using Microsoft Azure AI, AWS AI/ML, and/or Google Cloud AI platforms.
- Success serving as a trusted advisor to executive stakeholders and customer-facing teams, translating business objectives into scalable AI adoption strategies.
- Experience leading or operating an AI Center of Excellence, including governance, operating models, talent planning, and AI program execution at scale.
- Ability to support AI growth planning through capacity management, resource forecasting, and quota management.
- Understanding of AI adoption frameworks, responsible AI practices, and organizational change management in regulated industries.
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.
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