Data Science Implementation Manager

Sydney, Australia

Applications have closed
Dataiku logo
Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results.
Find more jobs like this

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, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.
Drive Dataiku's growth as part of our Customer Success & Implementation 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 role serves as the internal voice of the customer and is responsible for driving smooth implementations of our product. This individual's performance is based on specific metrics associated with customer product adoption, expansion & retention.

In this role you will help the team

  • Actively serve a portfolio of assigned accounts based in ANZ and Asia, including some of the world’s leading organizations in industries such as financial services, insurance, pharmaceuticals, transportation, manufacturing and technology
  • Deliver trainings & data science coaching activities to help customers onboard and maximize value from their Dataiku DSS platform usage
  • 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.
  • 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 will be a good fit if some of the below describes you

  • Strong verbal/written communication & presentation skills; extraordinary listening skills
  • In-depth knowledge of architecture topics, technology landscape, data science technical ecosystem, and analytics tools
  • Comfort establishing credibility with key customer decision makers & influencers
  • Strong knowledge of data science project lifecycle and a proven record of supporting organizations in their AI/data science maturity curve
  • 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
  • Ability to recognize & maximize new business opportunities, demonstrated implementation experience & strong project management skills 
  • Fluency in Japanese is a plus
  • B.S. or B.A. in business management, finance, economics, data science or similar study
  • Strong knowledge of databases and big data technologies preferred
  • Significant prior account management, data science, customer success or consulting experience, preferably within enterprise software or data science
  • Ability to travel up to 25% of the time (when travel is feasible in the future)

Some expected outcomes for this role

  • Increased depth & breadth of product adoption across customer accounts
  • Identification of additional revenue opportunities for Dataiku Sales team
  • High revenue retention with limited churn & downsells
  • Verifiable customer proof points, references and case studies across customer portfolio
  • High NPS & Customer Satisfaction scores.
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 
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.
Job region(s): Asia/Pacific
Job stats:  12  0  0

Explore more AI/ML/Data Science career opportunities