Global AI Solutions Director - Financial Services

The Director

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Responsibilities

• 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.
• 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.
• Collaborate closely with Sales, Product Management, Engineering, and Marketing to ensure Cloudera’s AI solutions align with evolving market dynamics and customer pain points.
• Provide deep industry-specific AI expertise during high-value sales cycles, helping technical teams validate architecture while helping business buyers calculate ROI.
• 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.
• 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.).

Requirements

• 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.

Qualifications

• 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.

Skills

• Technical proficiency in enterprise AI/ML engineering lifecycles, data orchestration, hybrid cloud infrastructure, and modern AI frameworks (e.g., LLMs, RAG architecture, vector databases).
• Experience in the Financial Services ecosystem, with a track record of implementing AI, machine learning, or advanced data analytics solutions in a production environment.

Benefits

• Generous PTO Policy
• Support work-life balance with 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

Pay

The expected base salary range for this role in New York is $200-225k. Please note that the compensation details listed in our job postings reflect the base salary only, and do not include commissions or bonus as applicable. The salary will vary depending on your job-related skills, experience and location.

Schedule

Not specified