Vice President, Data Science

icon building Company : Confidential
icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - Vice President, Data Science

Vice President, Data Science
About the Company
Leading provider of CRM solutions & business management software
Industry
Computer Software
Type
Public Company
Founded
1999
Employees
10,001+
Categories
Analytics
CRM
Enterprise Software
SaaS
Cloud Computing
Customer Relationship Management Software(CRM)
Enterprise Resource Planning Software(ERP)
Enterprises
Hardware + Software
Internet Serv
Sales and Marketing Productivity
Software
Software Development & Design
Technology
Information Technology & Services
Internet
Specialties
Enterprise Cloud Computing and Customer Relationship Management
Business Classifications
B2B
SAAS
Enterprise
About the Role
The Company is seeking a Vice President of Data Science to lead its data science teams and drive the strategic vision for data science, business analytics, and data engineering functions. The successful candidate will be responsible for owning the holistic data strategy for business operations, including leading a global team across business insights, data science, and data engineering. This role requires a leader with a proven track record in building and managing high-performing data teams, fostering a data-driven culture, and championing data governance best practices. The VP will be expected to partner with senior leadership to identify business challenges and opportunities and to translate them into actionable, data-driven solutions. Strategic thinking, problem-solving abilities, and a strong focus on innovation in data and analytics are essential. Applicants for the Vice President, Data Science role at the company should have at least 15 years of experience in data science or data engineering leadership, with expertise in advanced analytics techniques and machine learning algorithms. The role demands an individual with an in-depth understanding of modern data governance, security, and compliance, and a proficiency in designing and implementing data infrastructure to support large-scale data workloads. The VP will also be responsible for driving the development and implementation of advanced analytics models to extract valuable insights that propel the business forward. Excellent communication, collaboration, and presentation skills are a must, as is a related technical degree. The ideal candidate will have strong business acumen and a solid understanding of SaaS business processes and industry trends.
Hiring Manager Title
COO
Travel Percent
Less than 10%
Functions
Engineering
Data Management/Analytics
Strategy
Operations

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