Full-Time

Industry Expert

Health & Life Sciences

Confirmed live in the last 24 hours

Dataiku

Dataiku

1,001-5,000 employees

Develops AI solutions for business operations

Data & Analytics
AI & Machine Learning

Compensation Overview

$150k - $170kAnnually

+ Commission + Variable Compensation

Senior, Expert

New York, NY, USA

Ideally based out of the East Coast or NYC; hybrid model.

Category
Healthcare Administration & Support
Medical, Clinical & Veterinary
Required Skills
Data Analysis
Requirements
  • 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 HLS teams.
  • 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.
Responsibilities
  • Act as a Subject Matter Specialist for HLS, including specific subdomains (e.g., Hospitals, Health Services, Medical Devices, Biotech, and Pharmaceuticals).
  • Provide 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.
  • Support sales teams on these topics by meeting directly with clients and prospects as well as in thought leadership activities.
  • 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.
  • 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.
  • 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.
  • 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.

Dataiku creates AI solutions that help businesses integrate artificial intelligence into their daily operations. Their products include Generative AI, which generates new content or predictions, and MLOps, which supports collaboration between data scientists and operations teams. A key achievement is helping a retail client improve its forecasting speed by 900% with high accuracy. Dataiku aims to empower businesses to effectively use AI to enhance their forecasting and data processing.

Company Stage

Series F

Total Funding

$823.3M

Headquarters

New York City, New York

Founded

2013

Growth & Insights
Headcount

6 month growth

4%

1 year growth

3%

2 year growth

6%
Simplify Jobs

Simplify's Take

What believers are saying

  • Dataiku's recognition as a Leader in Gartner's Magic Quadrant for DSML Platforms underscores its industry leadership and credibility.
  • Strategic partnerships with firms like Rower Consulting and Teragonia expand Dataiku's reach into specialized sectors such as pharmaceuticals and private equity, enhancing its market influence.
  • The launch of innovative tools like Dataiku Answers and LLM Cost Guard demonstrates the company's commitment to addressing emerging needs in generative AI and cost monitoring.

What critics are saying

  • The high financial commitment required for generative AI projects may strain budgets and limit adoption among smaller enterprises.
  • Challenges in fully operationalizing AI, as highlighted by the survey, could slow down the implementation and effectiveness of Dataiku's solutions.

What makes Dataiku unique

  • Dataiku's focus on operationalizing AI sets it apart by integrating AI into everyday business operations, unlike competitors who may only offer standalone AI solutions.
  • Their partnership with AWS as a Global ISV AI/ML Partner of the Year enhances their connectivity and scalability, providing a seamless integration with AWS AI services.
  • Dataiku's platform centralizes data science, transformation workflows, and decision models with robust governance, offering a comprehensive solution for AI implementation.

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Benefits

Health, life & pension benefits

Equity

Time off for R&R

Public holidays

Work from anywhere policy (unique to team)

12 weeks of paid parental leave

Volunteering opportunities

Career Development opportunities

Technology stipend

Onsite meals & healthy snacks

Office happy hours

Company-wide events