This role pays less than
64%
of similar roles. Most pay
$134,375–$212,875
— the shaded band above.
At the midpoint, this role pays about
$148k
versus about
$174k
for comparable roles.
Based on 239 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
598 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 586 roles with salary data.
Americas - Frontier Industry Advisor - Banking serves as a banking industry subject matter expert on the Frontier Industry Advisory team. This role focuses on helping strategic banking customers move beyond isolated pilots toward governed, scalable AI adoption to improve outcomes like credit decisioning, fraud detection, and operational resilience. You will identify and nurture transformational opportunities by engaging senior business decision makers to connect their goals to cloud, data, AI, security, and partner capabilities. Day-to-day responsibilities include developing three-horizon roadmaps, providing thought leadership on global trends, and collaborating with internal teams and partners to build a robust banking pipeline. The role requires deep expertise in the banking value chain, including retail, commercial, and corporate banking, as well as core banking modernization, payments, and regulatory reporting within highly regulated financial environments using Frontier AI technologies.
Serve as the banking industry subject matter expert to guide digital and AI transformation strategies for strategic customers.
Identify and nurture high-value business opportunities by connecting banking outcomes to Microsoft’s cloud, data, and AI capabilities.
Develop multi-year roadmaps and vision statements to move customers from isolated AI pilots to enterprise-scale adoption.
Engage senior executive decision-makers to advocate for AI-led improvements in areas like risk management, fraud prevention, and core modernization.
Translate complex banking requirements into actionable technology solutions involving automated workflows, security, and governance.
Collaborate with internal account teams and external partners to build and mature a robust banking sales pipeline.
Provide thought leadership on global banking trends to influence market strategy and inform internal product development.
Represent the banking perspective in ideation sessions to create shared visions for modernizing operations and customer engagement.
What we're looking for
A Bachelor's degree in Computer Science, IT, Engineering, Business, or a related field is required.
A Master's degree in Computer Science, IT, Engineering, Health Sciences, Supply Chain, Education, or Business is accepted as an alternative.
Candidates must have 7+ years of customer-facing experience in financial services, management consulting, consultative selling, technology, or equivalent roles if holding a Bachelor's degree.
Candidates must have 5+ years of customer-facing experience in financial services, management consulting, consultative selling, technology, or equivalent roles if holding a Master's degree.
Preferred candidates should have 7+ years of experience in consultative sales, advisory, strategy, business development, transformation, or technology leadership within the banking industry.
Candidates should have 5+ years of proven people management and/or leadership experience.
Experience working with banking business leaders on transformation opportunities across areas like payments, lending, risk, compliance, and core banking modernization is preferred.
Applicants must possess a working knowledge of cloud, data, AI, Frontier AI, automation, security, and modern application capabilities in regulated environments.
Generative AI
Large Language Models
LLM Frameworks
Microsoft Copilot
Google Gemini
AI Agents
Value Stream Mapping
Change Management
Risk Governance
NIST AI Risk Management Framework
Core Banking Platforms
SQL
Python
Databricks
Snowflake
BSA/AML
Transaction Monitoring
Case Management
System Configuration
Control Testing
Model Tuning
Change Management
Audit Readiness