Director, Global AI Industry Solutions - Financial Services

Cloudera•New York, IL

7d•$200,000 - $225,000•Remote

About The Position

At Cloudera, the Director, Global AI Industry Solutions will support global Sales, R&D, and Customer Retention in the Financial Services industry. The role uses AI, data analytics, and R&D to track market trends, shape business strategies, and turn insights into actionable plans. It guides Cloudera teams through AI-driven transformation by providing knowledge, tools, and R&D advancements to help them engage effectively with key accounts. The Director creates and manages AI-focused content, supports internal enablement and pipeline development, and helps acquire new clients through industry-specific use cases. Working closely with R&D teams, the role helps integrate the latest AI innovations into solutions and strengthen market differentiation. It also leads internal industry communities and represents Cloudera as a subject matter expert at external events, advancing thought leadership on AI and advanced analytics in Financial Services. The role translates Product R&D advancements into business outcomes, sales playbooks, and go-to-market strategies for Financial Services. It advises key customer accounts, presents to C-level executives while maintaining technical credibility with data science and engineering teams, and collaborates across Sales, Product Management, Engineering, and Marketing. It provides industry-specific AI expertise during high-value sales cycles, supports architecture validation and ROI calculations, and represents Cloudera at conferences and in written materials. The position also involves hands-on design and development of AI reference architectures, technical prototypes, and MVPs for Financial Services use cases such as fraud detection, risk modeling, and generative AI compliance. This role is not eligible for immigration sponsorship.

Requirements

10+ years of experience within the Financial Services ecosystem.
Track record of implementing AI, machine learning, or advanced data analytics solutions in a production environment.
Proven ability to build technical prototypes and design production-grade reference architectures.
Deep, hands-on familiarity with enterprise AI/ML engineering lifecycles, data orchestration, hybrid cloud infrastructure, and modern AI frameworks, including LLMs, RAG architecture, and vector databases.
Exceptional communication skills, including the ability to move between technical whiteboarding and high-level business strategy presentations.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a highly technical discipline.

Nice To Haves

An advanced technical degree (Master's or Ph.D.) or an MBA.

Responsibilities

Translate Product R&D advancements into business outcomes, sales playbooks, and go-to-market strategies for the Financial Services sector.
Advise key customer accounts and present to C-level executives while maintaining technical credibility with data science and engineering teams.
Collaborate with Sales, Product Management, Engineering, and Marketing to align AI solutions with market dynamics and customer needs.
Provide industry-specific AI expertise during high-value sales cycles, helping validate technical architectures and calculate business ROI.
Represent Cloudera at global conferences, panels, and through written collateral, providing research-backed thought leadership on AI in finance.
Design, develop, and deliver AI reference architectures, technical prototypes, and MVPs for Financial Services use cases.
Create and manage AI-focused content and support internal enablement and pipeline development.
Work with R&D teams to integrate AI innovations into solutions and improve market differentiation.
Lead internal industry communities and support client acquisition through industry-specific use cases.