Dataiku

Engagement Manager

Saudi Arabia

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Data Science, SoftwareIndustries

Requirements

Candidates must possess a Bachelor's degree and have over 3 years of experience in advanced analytics, data science projects, or consulting. Fluency in English and native Arabic proficiency are required, along with demonstrated project management skills, including leadership, communication, and customer management. Experience in managing complex projects and difficult stakeholders is necessary, as is an interest in staying current with techniques like Python, R, Scala, Hadoop, Spark, H2O, and SQL. Technical aptitude is important, though not necessarily an engineering background. Being organized, process-oriented, and resourceful are key attributes. PMP certification or similar training is a plus, as is experience in enterprise data projects and familiarity with advanced analytics technologies. The ability to explain data science concepts is also required.

Responsibilities

The Engagement Manager will project-manage the delivery of professional services, including software installation, customer training, and data science project development. They will maintain clear internal communication, build relationships with partners and customers, and ensure customer satisfaction throughout the implementation process to minimize time-to-value. Responsibilities also include contributing to the standardization of implementation processes, setting up customers for success with Dataiku DSS, and contributing to services sales in the region. The role involves coordinating deployment, training, and adoption of best practices to help customers derive maximum value from the software.

Skills

Project Management
Big Data Technologies
Data Science
Client Implementation
Software Installation
Customer Training
Customer Coaching
Data Science Project Development
Communication
Relationship Building
Customer Satisfaction
Time-to-Value Optimization
Process Standardization
Service Sales

Dataiku

AI solutions for operationalizing business processes

About Dataiku

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.

New York City, New YorkHeadquarters
2013Year Founded
$823.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees

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

Risks

Competition from AI platforms like Databricks may impact Dataiku's market share.
High costs of generative AI initiatives could strain client budgets.
Reliance on partnerships poses risks if collaborations face challenges.

Differentiation

Dataiku offers a centralized platform for enterprise AI and data analytics.
The company integrates with AWS, enhancing connectivity and scalability for clients.
Dataiku's LLM Guard Services ensure controlled Generative AI rollouts.

Upsides

Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.
Recognition in Gartner's Magic Quadrant boosts Dataiku's credibility in AI solutions.
Dataiku Stories enhances user engagement with Generative AI-powered presentations.

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