Director Business Strategy

Microsoft•Redmond, WA

9h•$130,900 - $272,300

About The Position

The Director Business Strategy will help Microsoft’s most strategic financial services customers move beyond AI pilots to scalable, enterprise-ready transformation. The role partners with customers to rethink business processes and operating models, redesign workflows, modernize data foundations, and integrate responsible AI practices so AI can deliver sustainable business performance. As a member of the Worldwide Financial Services Solutions Team, this role enables customers with leading-edge AI patterns and related accelerators. The position combines strategic thinking, executive communication, project management, quantitative analysis, and team-building skills. It works across Microsoft teams and with customer stakeholders to develop technical proof-of-concept artifacts and presales assets, guide transformation programs, inform strategic sales planning, and translate insights into sales and go-to-market decisions.

Requirements

Bachelor’s degree in Engineering, Computer Science, Business Administration, Marketing, Finance, or a related field, and 5+ years of experience in product management or software development, or equivalent experience.
6+ years of experience in Engineering Consulting.
Required technical knowledge of Agentic AI and ability to drive development of AI capabilities that act as accelerators, including experience with engineering practices and engaging engineering teams.
Working knowledge of the Financial Services industry.
Experience translating business requirements into field and customer messaging and readiness materials.
Ability to consider the overall partner landscape while maintaining attention to detail for successful execution.
Technical knowledge of the Microsoft Platform across Azure, M365, Copilot, AI, security, and modern application capabilities as applied to regulated financial services and insurance environments.
Ability to work across account teams, solution teams, engineering, partners, consulting organizations, and senior customer stakeholders to shape complex transformation programs and drive execution.
Experience helping large enterprise customers move AI initiatives from ideation to production-scale transformation with measurable business outcomes.
Experience developing accelerators and key assets, industry points of view, business cases, transformation roadmaps, and co-innovation proposals.
Familiarity with responsible AI, model governance, data governance, security, privacy, and regulatory considerations in insurance or other regulated industries.
Strategic thinking, executive communication, project management, quantitative, and team-building skills.

Responsibilities

Conceptualize and develop sales assets, including accelerators and demos, that explain transformation patterns and how Microsoft technologies can help customers.
Initiate and drive multiple projects through completion.
Bring Microsoft platform technical expertise, including developer and technical program management skills, to develop robust proof-of-concept artifacts, accelerators, and other presales assets that support FDE deployment and execution.
Provide feedback to Studio teams, ISD, and product teams through the WW FSI CTO to support continuous improvement.
Establish and maintain points of contact with internal teams, including FDE Studios, the WW FSI CTO team, ISD, Industry Advisors, Marketing, and Engineering.
Manage and cultivate relationships with leaders of internal teams.
Advise senior leadership in an area of expertise and market awareness to inform strategic sales-planning decisions.
Provide success measurements based on data from tools and platforms.
Share best practices with peers.
Synthesize findings across sales projects into insights, including implications for sales go-to-market objectives.
Use executive presence to influence decisions and proactively identify ideas for FDE deployment.
Help customers rethink business processes and operating models, redesign workflows, modernize data foundations, and integrate responsible AI practices to achieve scalable transformation.