Data Science Implementation Manager

**Dataiku Data Science Implementation Manager - Asia**

Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science.

**Drive Dataiku's growth as part of our Customer Success team.**

The Dataiku Data Science & Implementation Manager is responsible for serving a large portfolio of enterprise accounts. This position proactively works with a broad set of stakeholders to illustrate the value delivered through Dataiku’s software & services. The Implementation Manager serves as the internal voice of the customer and is responsible for driving smooth implementations of our product and accelerating time to value for Dataiku customers. This individual's performance is based on specific metrics associated with customer product adoption, expansion & retention.

**In this role, you'll help the team**:

- Actively serve a portfolio of assigned accounts based in Singapore and Asia, including some of the world’s leading organizations in industries such as financial services, insurance, pharmaceuticals, transportation, manufacturing and technology
- Gain an understanding of client’s use cases and desired business outcomes and help a large number of licensed users achieve these goals via Dataiku’s Data Science Studio (DSS) & Services.
- Deliver trainings & data science coaching activities to help customers onboard and maximize value from their Dataiku DSS platform usage
- Help clients translate the business use cases they’re trying to crack into data science solutions, potentially by developing prototypes and demonstrations.
- Effectively plan and orchestrate Dataiku platform implementation and project-manage the delivery of our Professional Services
- Provide guidance to customer organizations on how to leverage DSS to implement data science projects from design to production.
- Implement customer engagement strategies including consistent Executive Business Reviews.
- Leverage Customer Health analytics to identify customer expansion opportunities & churn risks.
- Collaborate with Dataiku’s Sales team to expand customer relationships & ensure renewals.
- Collaborate with Marketing to grow a library of customer testimonials.
- Inform customers of Dataiku’s Product roadmap & provide continuous customer feedback to Dataiku’s Product team.
- Stay current customers on Dataiku’s products, competitive landscape & data science trends.

**You might be a good fit if you have**:

- Strong verbal/written communication & presentation skills; extraordinary listening skills.
- In-depth knowledge of architecture topics, technology landscape, data science technical ecosystem, and analytics tools.
- 3+ years of hands-on data engineering or data science experience, with strong track record of helping customers deliver data-driven projects.
- Comfort establishing credibility with key customer decision makers & influencers.
- Ease in speaking to stakeholders at all levels and various departments: from business executives to data scientists, analysts and IT.
- Strong problem solving & analytical skills; formulate solutions that deliver real business value.
- Demonstrated implementation experience & strong project management skills
- Strong knowledge of databases and big data technologies, cloud infrastructures
- Significant prior data science, customer success or consulting experience.
- Ability to travel up to 25% of the time.

**Some expected outcomes from this role**:

- Increased depth & breadth of product adoption across customer accounts.
- Consistent platform and data science enablement activities.
- Identification of additional revenue opportunities for Dataiku Sales team.
- High revenue retention with limited churn & down sells.
- Verifiable customer proof points, references and case studies across customer portfolio.
- High NPS & Customer Satisfaction scores.