Dataiku is hiring an

Industry Expert, Health & Life Sciences

Remote

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. 

 

Dataiku is looking for an Industry Expert in Healthcare & Life Sciences (HLS) to join Dataiku’s Business Solutions team. In this role, the Industry Expert is responsible for two essential missions to accelerate Dataiku’s development in the HLS space: 

(1) Act as a Subject Matter Specialist for HLS, including specific subdomains (e.g., Hospitals, Health Services, Medical Devices, Biotech, and Pharmaceuticals). In this job, you will be in charge of providing a detailed understanding of business models and specific team functions to both our sales and product teams, along with insight on opportunities and trends relating to data, analytics  and AI. You will support sales teams on these topics by meeting directly with clients and prospects as well as in thought leadership activities. 

(2) Own the identification, scoping, and successful roll out of Dataiku AI Solutions aligned to industry trends and market research, with the goal of maximizing Dataiku’s value delivery and addressable market within priority subdomains.

Your mission will be undertaken in close partnership with Dataiku’s broader Business Solutions team, including the Solution Director for HLS and the dedicated HLS Solution Data Scientists, as well as with Dataiku’s core teams: Sales, Customer, Partnership, Product and R&D.

What you will do in detail:

Subject Matter Expert for HLS including specific subdomains: Leverage your expertise with the challenges, objectives, types of roles, and tangible data and AI use cases to support the development of Dataiku as a thought-partner and enabler of success with HLS organizations:

  • Effectively articulate and document Dataiku’s value proposition for distinct business and functional teams within HLS organizations, and ensure that Dataiku’s sales and engineering teams also articulate these value propositions effectively.
  • Support go-to-market and customer activities: help sales teams understand the specific dynamics of different teams and divisions within HLS organizations, and act as a key advisor and evangelist with HLS prospects, customers and partners at all levels including executive engagements and external events.
  • Dive deeply into the specific needs of business, functional and operational domains within HLS organizations, including in areas you are not currently familiar with, to  identify key personas and use cases Dataiku can support. 
  • Support the scaling of internal knowledge and client experiences by developing relevant material to share internally and externally.
  • Directly own the creation and execution of strategic plans to accelerate Dataiku’s impact within one or more priority subdomains.

AI Solutions Development: Play an active role in the development of Dataiku Solutions: compelling analytic and AI use-cases that accelerates how Dataiku solves real-world problems and directly addresses the domain specific needs of HLS teams. You can see examples here: www.dataiku.com/solutions/catalog 

  • Scope compelling and competitive Solutions that address real and tangible industry needs, including the necessary data inputs, outputs, processes and features.
  • Act as business lead for the creation and launch of these Solutions with responsibility for effective, efficient and impactful results, in close collaboration with the broader Solutions team: Product, R&D, UX, Partnerships, and Data Science.
  • Define success metrics and track KPIs to concretely evaluate the success of these Solutions and identify opportunities for changes or enhancements. 
  • Fuel and qualify the Solutions development pipeline through business experience, client workshops, market research, and partnership discussions. 
  • Support the global push for existing and new Solutions by enabling internal teams, leading customer interactions, and building go-to-market material.

Who you are:

  • 10 years+ hands-on experience and deep understanding of analytics and transformation projects directly impacting several business lines within HLS organizations.
  • Direct experience and a clear grasp of the constraints and trade-offs faced by different teams within HLS organizations tackling data, analytic and AI challenges.
  • Able to clearly articulate the important impact that ‘mundane’ as well as ‘moonshot’ projects can have on individual teams’ productivity and business objectives. 
  • Comfortable describing the continuum of ways in which data, analytics and AI can add value, from automation, pipelines and dashboards to machine learning and Generative AI.
  • Proven experience in developing familiarity with the needs and experiences of teams working on topics about which you are not already familiar, via self-driven research and insight.
  • Capable of building a direct and practical understanding of Dataiku’s specific value proposition for specific HLSteams. 
  • Very strong experience in project management, capable of orchestrating multiple projects while supporting associated teams simultaneously. Hands-on by nature. 
  • Proven track record working with diverse teams, and successfully engaging them on complex or specialized topics.
  • Excellent communication skills (both written and oral), able to clearly articulate and present complex situations and concepts to varied audiences.
  • Based in the US and able to travel both within that region and to other continents (10% of the time).
  • Ideally based out of the East Coast or NYC #LI-Hybrid
Compensation and Benefits

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. 

Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.

US only national base pay ranges
$150,000$170,000 USD
 
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: [email protected]
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