דרושים » תוכנה » Director of Data

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נאספה מאתר אינטרנט
13/05/2022
חברה חסויה
Location: Ramat Gan
Job Type: Full Time and Hybrid work
Lead, mentor, and be the focal point for all data activities in the company
Assist in defining standards and development methodologies for the teams
Manage multiple priorities and tasks in a dynamic work environment
Design, implement and support robust, scalable solutions to enhance data capabilities, and identify gaps and design processes and fill them
Collaborate with a broad forum of experts and stakeholders, including architects and engineers, to create high-quality deliverables
Lead a team of big data engineers to implement a robust data pipeline and data analytics components
Lead a team of data scientists and engineers to provide ML models and AI solutions for the different business units
Lead a team of BI developers that manage the company data lake, run ETLs and prepare data for business dashboards
Lead a team of data analysts that work with the business units to provide business insights and help product owners makes data oriented decisions
Lead a team in charge of spam & fraud prevention.
Requirements:
Experience in a similar role in a global tech company, including managing experienced team leads and a group of 20+ people.
Experience in analytical and business-related positions
Managerial experience building and managing groups must
Deep business understanding and experience working with multiple business stakeholders
Strong analytical skills and ability to analyze and understand business intelligence and business data.
Great verbal and written communication skills in English and Hebrew
Significant experience working with structured and unstructured data at scale and comfort with a variety of different databases (NoSQL, SQL, Graph DBs, in-memory, etc), as well as data lakes and data lake houses.
Understanding of Machine Learning and Deep Learning concepts and technology, including AI such as NLP and computer vision
Experience working in cloud environments, preferably AWS
Experience in building big data ETL processes (preferably with Spark, Presto and/or Athena) and with programming languages, such as Python, Java and/or Node.js.
Familiarity with development methodologies, i.e. Scrum, CI/CD processes
M.Sc. in Mathematics, Statistics, Engineering, Computer Science, Information Systems, or other related fields; or equivalent work experience.
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