RVP, Solution Engineering, Financial Services
Leads a multi-layered solution engineering organization serving major financial services accounts, partnering with sales and executive stakeholders to drive cloud data and AI adoption. Requires 15+ years in sales or pre-sales, strong financial services technology expertise, and experience leading complex enterprise transformations.
About the job
Responsibilities
- Build and lead a multi-layered organization of solution engineering managers supporting global financial institutions.
- Partner with sales leadership to achieve regional quota and consumption targets.
- Set the vision for AI-led transformation in financial services, including Cortex AI, agentic workflows, and governed enterprise AI.
- Coordinate cross-functional resources while maintaining technical alignment with regional and regulatory requirements.
- Advise revenue leaders on sales strategy and industry-specific product gaps, including real-time risk, fraud detection, and AI-driven customer 360.
- Collaborate with product, engineering, sales, marketing, and services on governance, security, latency, and scale requirements.
- Recruit industry talent and develop the leadership bench across directors and managers.
- Coach leaders on presentations and technical engagements with C-suite financial services stakeholders.
- Implement strategies to improve consultative selling, AI-native workflows, and industry-specific technical architecture.
Requirements
- 15+ years of industry experience in sales or pre-sales.
- Strong understanding of cloud data platforms and financial services workloads, including data warehousing, data sharing, and AI across banking, risk, ERP, and CRM sources.
- Experience guiding organizations through AI and generative AI transformation, including governance, security, and risk considerations for regulated industries.
- Exceptional communication and presentation skills for technical and executive audiences.
- Consultative sales approach and ability to map complex business challenges to cloud data and AI solutions.
- Strategic understanding of enterprise sales cycles and complex deal management.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience.
Nice-to-haves
- Familiarity with Snowflake or comparable cloud data platforms.
- Experience scaling AI, generative AI, and agentic workflows in governed production environments.
- Experience leading technical go-to-market initiatives for large financial institutions.
- Understanding of data collaboration and marketplace ecosystems relevant to financial services.
Compensation
- Annual salary range: $264,000–$346,500.
Skills
Cloud Data Platforms, Data Warehousing, Data Sharing, Artificial Intelligence, Generative AI, Agentic Workflows, Cortex Ai, Data Governance, Cloud Security, Enterprise Sales, Consultative Selling, Technical Architecture, Data Collaboration, Data Marketplaces, Financial Services
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