Director of Solution Architecture, Domino Data Lab
Financial Services & Insurance
$230-295k
More information about location
Data science & AI platform
Open for applications
Data science & AI platform
201-500 employees
Open for applications
$230-295k
More information about location
201-500 employees
Company mission
To unleash the power of data science to address the world's most important challenges.
Role
Who you are
- 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)
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
- We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
- We believe in individuals who seek truth and speak the truth and can be their whole selves at work
- We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
What the job involves
- As part of this team, you’ll help shape our approach to the financial services market, driving impactful solutions through client engagements, customized demos, and strategic insights
- Together, we aim to build trusted partnerships by aligning our technology with client goals, anticipating industry needs, and continuously innovating to support our customers’ success in an evolving landscape
- 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
Our take
Domino Data Lab powers model-driven businesses with its Enterprise MLOps platform. Trusted by over 20% of the Fortune 100, Domino can accelerate the development and deployment of data science work, while simultaneously increasing collaboration and governance.
Using the platform, enterprises can develop better medicines, grow more productive crops, build better cars, and more. In 2022, it released two additional solutions that enable customers to easily run machine learning and data science workloads across hybrid and multi-cloud systems - showing that it is able to keep pace with the advancing needs of its clientele.
With nearly all multinational organizations set to invest in local data processing infrastructures and mitigation services by 2026, Domino Data Lab is making an early start on meeting the needs companies face when scaling data science workloads. It is also addressing the ""data science talent gap" with its latest release, Domino Code Assist (DCA). This enables business analysts to elevate their work into the data science world and communicate with advanced data scientists in the same languages, without the need for extensive training.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Oct 2021
$100m
SERIES F
Jun 2020
$43m
LATE VC
Total funding: $226.6m
Company benefits
- Premium medical, dental, and vision insurance plans, including a free option for you and your family
- Commuter benefits - we support your daily commute, whether Uber, Lyft, bus, or train
- Up to eight weeks of fully paid parental leave
- Flexible PTO
- Annual education reimbursement
- Support to get your work done how and when you need to, regardless of your location
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Nick Elprin
(CEO)Graduated from Harvard with a Master's in Computer Science. Previously worked as a Senior Application Technologist at Bridgewater Associates.
Christopher Yang
(CTO)Graduated from MIT with a Master's in Computer Science. Previously worked as a Software Developer at Bridgewater Associates.
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