Director Business Strategy

Microsoft•Redmond, WA

11h•$130,900 - $251,900

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 focuses on helping customers rethink business processes and operating models, redesign workflows, modernize data foundations, and integrate responsible AI practices so AI can drive sustainable business performance. As a member of the Worldwide Financial Services Solutions Team, this person will enable customers with AI patterns and accelerators and help co-innovate across their digital transformation journeys. The position combines strategic thinking, executive communication, project management, quantitative skills, and team-building across organizational levels. It includes creating sales and presales assets, leading projects, applying Microsoft platform expertise to proof-of-concept artifacts and accelerators, coordinating across internal teams, advising senior leaders, and translating project findings into sales insights and go-to-market implications.

Requirements

Bachelor’s degree in Engineering, Computer Science, Business Administration, Marketing, Finance, or a related field, plus 5+ years of experience in product management or software development, or equivalent experience.
6+ years of experience in Engineering Consulting.
Technical knowledge of Agentic AI and ability to drive development of AI capabilities that act as accelerators.
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 needed 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.

Responsibilities

Conceptualize and develop sales assets, including accelerators, demos, and other presales materials that explain transformation patterns and how Microsoft technologies can help customers.
Initiate and drive multiple projects through completion.
Apply Microsoft platform and technical program management expertise to develop robust proof-of-concept artifacts, accelerators, and 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 working relationships with internal teams, including FDE Studios, the WW FSI CTO team, ISD, Industry Advisors, Marketing, and Engineering.
Manage and cultivate relationships with internal team leaders.
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, and share best practices with peers.
Synthesize findings across sales projects into insights and implications for sales go-to-market objectives.
Use executive presence to influence decisions and proactively identify opportunities for FDE deployment.
Help customers rethink business processes and operating models, redesign workflows, modernize data foundations, and integrate responsible AI practices.