Director of Solution Architecture, Financial Services & Insurance @ Domino Data Lab | Jobright.ai
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Domino Data Lab · 1 day ago

Director of Solution Architecture, Financial Services & Insurance

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Responsibilities

Developing Industry-Specific Demos: Design, test, and refine product demos that directly address banking, insurance and investment use cases, showcasing how Domino meets compliance, scalability, and security requirements crucial to each industry
Pioneering Integrations: Identify and implement new integrations with financial services-relevant technologies, establishing field partnerships and technical solutions that enhance our product’s position within clients' existing ecosystems
Crafting Solution Architectures: Develop IT landscape architectures that illustrate how our platform integrates into financial services environments, addressing operational workflows and compliance challenges unique to these clients
Gathering Market Insights for Product Development: Continuously engage with customers to gather feedback, identifying feature requests and industry requirements to inform product enhancements and new offerings
Refining Technical Messaging and Sales Plays: Work directly with sales teams to refine our messaging to technical buyers, build targeted sales plays, and develop strategies to engage the teams most likely to benefit from our platform, ensuring that our approach resonates with key financial services stakeholders

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Solution ArchitectureAI/ML DevelopmentFinancial Services KnowledgeTechnical Architecture DesignAnalytical Problem SolvingClient EngagementTechnical Sales StrategyPythonIntegration ToolsStrategic ThinkingRSASAPIsCloud ProvidersFinancial Technology PlatformsRelationship Building

Required

Strategic Thinking: Capable of identifying high-impact sales opportunities, understanding industry trends, and developing technical sales strategies that align with financial services needs
Relationship Building and Influence: Possesses the ability to build strong relationships with both internal teams and client stakeholders, as well as the influence to drive adoption among technical buyers in financial services
Analytical Problem Solving: Able to dissect complex problems within financial IT ecosystems, devise tailored technical solutions, and anticipate potential integration challenges
Proven Track Record in Solution Architecture for Financial Services: Successfully designed and implemented solutions for financial services, including integration of new technologies within complex, regulated IT environments
Hands-on AI/ML Development Experience: Has used products like Domino in the past to develop AI/ML products or statistical models, and understands the needs of model developers in the industry well enough to craft compelling demos
Direct Client Engagement: Experience working directly with financial services clients, understanding their challenges, and shaping solutions that directly address their needs
Technical Sales Strategy Development: Demonstrated success in developing technical sales strategies or plays that drive engagement and revenue growth in financial services or a similarly regulated industry
Financial Services Knowledge: In-depth understanding of key financial services use cases (e.g., risk management, fraud detection, compliance), and familiarity with regulatory standards (e.g., SEC, FINRA) that impact solution design
Programming Skills: Proficient in Python, R, SAS, or other languages suitable for developing AI/ML models for FSI use cases
Technical Architecture Design: Proficient in designing architectures that integrate AI/ML platforms within financial services IT environments, including cloud architectures, data governance, and security frameworks
Communication and Presentation: Highly skilled at communicating complex technical concepts to both technical and non-technical stakeholders, translating product value into financial terms
Integration and Deployment Tools: Proficiency with integration tools, APIs, and relevant financial technology platforms (e.g., cloud providers like AWS or Azure, financial-specific platforms like Bloomberg)

Benefits

Equity
Company bonus or sales commissions/bonuses
401(k) plan
Medical, dental, and vision benefits
Wellness stipends

Company

Domino Data Lab

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Domino Data Lab provides a platform that utilizes data science and AI for collaboration, model deployment, and centralizing infrastructure.

H1B Sponsorship

Domino Data Lab has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (6)
2022 (8)
2021 (16)
2020 (9)

Funding

Current Stage
Late Stage
Total Funding
$223.6M
Key Investors
Snowflake VenturesGreat Hill PartnersVerdure Capital Management
2022-06-15Series F· Undisclosed
2021-10-05Series F· $100M
2020-07-30Secondary Market· Undisclosed

Leadership Team

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Nick Elprin
Co-Founder and CEO
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Chris Yang
Co-Founder and CTO
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Company data provided by crunchbase
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