[Remote] Director, Global AI Industry Solutions - Financial Services

Note: The job is a remote job and is open to candidates in USA. Cloudera is hiring a Director of AI Industry Solutions to support global Sales, R&D, and Customer Retention in Financial Services. The role translates AI and R&D advancements into industry-specific business strategies, supports sales and customer engagements, develops AI solutions, and advances thought leadership.

Responsibilities

• The Strategic Bridge: Translate complex Product R&D advancements into high-value business outcomes, sales playbooks, and go-to-market strategies tailored specifically for the Financial Services sector
• Executive & Technical Evangelism: Act as a trusted advisor to key customer accounts. Deliver compelling presentations to C-level executives (CEOs, CDOs, CIOs) while maintaining deep technical credibility with data science and engineering teams
• Cross-Functional Influence: Collaborate closely with Sales, Product Management, Engineering, and Marketing to ensure Cloudera’s AI solutions align with evolving market dynamics and customer pain points
• Deal Support & Value Engineering: Provide deep industry-specific AI expertise during high-value sales cycles, helping technical teams validate architecture while helping business buyers calculate ROI
• Thought Leadership: Represent Cloudera as an industry expert at global conferences, panels, and through written collateral, driving market share through insightful, research-backed commentary on AI in finance
• Technical Prototyping & Architecture: Act as a hands-on builder. Design, develop, and deliver cutting-edge AI reference architectures, technical prototypes, and MVPs (Minimum Viable Products) that address specific Financial Services use cases (e.g., fraud detection, risk modeling, generative AI compliance, etc.)

Skills

• The role is not eligible for immigration sponsorship
• 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 (e.g., LLMs, RAG architecture, vector databases)
• 10+ years within the Financial Services ecosystem, with a track record of implementing AI, machine learning, or advanced data analytics solutions in a production environment
• Exceptional communication skills with the rare ability to pivot seamlessly from technical whiteboarding to high-level business strategy presentations
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a highly technical discipline
• An advanced technical degree (Master's or Ph.D.) or an MBA is a strong plus

Benefits

• Generous PTO Policy
• Unplugged Days
• Flexible WFH Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement program
• Access to Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Paid Volunteer Time
• Employee Resource Groups

Company Overview