Global AI Solutions Director - Financial Services

Cloudera is hiring a Global AI Solutions Director - Financial Services for a remote role open to applicants in United States. It pays $200k-$225k a year and Level rates it ; you can apply on Level.

AI in this role

rag

Business Area:

Corp. Strategy

Seniority Level:

Director

Job Description:

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.

As the Director of AI Industry Solutions, you will play a pivotal role in supporting global Sales, R&D, and Customer Retention in the Financial Services industry. Your focus will be on leveraging AI, data analytics, and innovative R&D to track market trends, shape business strategies, and turn insights into actionable plans. You'll guide Cloudera's teams through the AI-driven transformation, providing them with the knowledge, tools, and R&D advancements needed to engage effectively with key accounts.

In this role, you will create and manage AI-focused content, support internal enablement, pipeline development, and help acquire new clients through industry-specific use cases. You'll work closely with R&D teams to ensure the latest AI innovations are integrated into solutions, enhancing market differentiation. Additionally, you will lead internal industry communities and represent Cloudera as a subject matter expert at external events, driving thought leadership on AI and advanced analytics in the Financial Services sector.

This role is not eligible for immigration sponsorship.

As the Director, Global AI Industry Solutions, you will:

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.).

What We're Looking For:

The Builder Mindset: Proven ability to build technical prototypes and design production-grade reference architectures.
Technical Proficiency: 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).
Industry Experience: 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.
Executive Presence: Exceptional communication skills with the rare ability to pivot seamlessly from technical whiteboarding to high-level business strategy presentations.
Education: 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.

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

What you can expect from us:

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

EEO/VEVRAA

#LI-AO1

#-LI-HYBRID

How we rate this

Global AI Solutions Director - Financial Services at Cloudera rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Global AI Solutions Director - Financial Services is an open job at Cloudera.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $200k-$225k a year.
The role is based in USA > New York > New York City and is marked remote.
The job was posted on October 15, 2026.
Seniority: executive.
Applications are handled by Cloudera. Apply on Cloudera

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAG

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: RAG. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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