Enterprise Account Executive, Japan | FSI
Dataiku is hiring an Enterprise Account Executive, Japan | FSI in Tokyo, Japan. Level rates it ; you can apply on Dataiku.
Level's read on this job
- On Level's scale, this sales role is Little AI ●○○○: aI is not part of the work.
- The posting mentions AI agents among its tools and skills.
- Level classes it as an executive role.
- Dataiku has 14 other open roles on Level.
AI in this role
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We are looking for an Enterprise Account Executive with a strong Financial Services background to join our growing team in Japan. This role focuses on engaging banks, insurance companies, asset managers, and other financial institutions about their data and AI initiatives, helping them develop a more efficient and compliant approach to leveraging our platform DSS. The Enterprise Account Executive is responsible for the entire sales cycle, while leveraging various company resources to reach successful collaborations with prospects. You will work cross-functionally with Marketing, Product Management and Engineering.
How you'll make an impact:
- Educating FSI customers on the value of Dataiku in the context of their specific regulatory, risk, and data challenges
- Driving revenue through proactive outreach to existing and prospective financial services customers including banks, insurers, and capital markets firms
- Providing tailored recommendations based on a customer's business needs — including fraud detection, risk modelling, regulatory reporting, and customer analytics use cases
- Managing multiple FSI accounts simultaneously at various stages of the Dataiku buying cycle
- Developing C-Level vision alignment with FSI executives across Risk, Compliance, Technology, and Operations
- Navigating complex enterprise sales cycles typical in highly regulated financial institutions
- Handling inbound customer communication and escalating issues appropriately, including security, compliance, legal, and technical inquiries
- Serving as the voice of the FSI customer and feeding back insights to drive continuous product and go-to-market improvement
- Other duties as assigned from time to time
What you'll need to be successful:
- 5–7 years' experience in enterprise software field sales, with a strong track record selling into Financial Services (banking, insurance, capital markets, or asset management)
- Deep understanding of the FSI landscape in Japan — including key players, buying behaviours, and regulatory environment (FSA, Basel, DORA awareness a plus)
- Background in selling data, AI, analytics, or related innovation concepts to large financial institutions
- Strong ability to develop vision alignment with FSI prospects and customers, building champions across business and technology stakeholders
- Good articulation of competitive positioning in the FSI data and AI space
- Domain expertise in big data, analytics, data science, BI/DW, or data integration — ideally applied to FSI use cases such as credit risk, fraud, AML, or customer intelligence
- Advanced interpersonal and communication skills, with the ability to navigate complex stakeholder environments
- Adaptable with a growth mindset and comfortable operating in a fast-moving, innovative company
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What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.How we rate this
Enterprise Account Executive, Japan | FSI at Dataiku rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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. Read the description and count the AI tools, models and workflows it names.
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- $140k
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