About the 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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Aplyr's read
Dataiku stands out as a collaborative data science platform, attracting professionals who thrive on building AI and machine learning solutions for diverse industries.
What's promising
- •Dataiku's platform facilitates seamless collaboration among data teams, enhancing productivity.
- •The company is expanding globally, offering diverse opportunities in regions like LATAM and ASEAN.
- •Dataiku's focus on AI and machine learning positions it well in the growing data-driven decision-making market.
What to watch
- •The competitive landscape in data science platforms poses a constant challenge.
- •Rapid global expansion may strain existing resources and infrastructure.
- •Keeping up with fast-paced AI advancements requires continuous innovation and adaptation.
Why Dataiku
- •Dataiku offers a user-friendly interface that democratizes access to data science tools.
- •The platform's collaborative features are designed to integrate diverse team inputs effectively.
- •Dataiku supports a wide range of data sources, enhancing its versatility across industries.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Dataiku
Dataiku is a collaborative data science platform that enables organizations to build and deploy AI and machine learning solutions. By providing a user-friendly interface and powerful tools, Dataiku empowers teams to leverage data for better decision-making and operational efficiency.
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