Global AI Solutions Director – Financial Services

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $200k - $225k / year

⏰ Full Time

🔴 Lead

💸 Financial Planning and Analysis (FP&A)

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• 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, delivering compelling presentations to C-level executives while maintaining deep technical credibility with data science and engineering teams • Collaborate closely with Sales, Product Management, Engineering, and Marketing to ensure alignment of Cloudera’s AI solutions with evolving market dynamics • Provide industry-specific AI expertise during high-value sales cycles, helping validate architecture and calculate ROI for business buyers • Represent Cloudera as an industry expert at global conferences and through written collateral, driving market share through insightful commentary on AI in finance • Design, develop, and deliver cutting-edge AI reference architectures, technical prototypes, and MVPs that address specific Financial Services use cases.

🎯 Requirements

• 10+ years within the Financial Services ecosystem • 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) • Exceptional communication skills with the ability to pivot 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 • 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