Confidential
Vice President of Data Science and Analytics Leadership
Confidential, Houston, Texas, United States, 77246
Vice President of Data Science and Analytics Leadership
About the Company
We are a leading healthcare provider dedicated to serving our local community effectively and efficiently.
Industry
Hospital & Health Care
Type
Privately Held, VC-backed
Founded
2020
Employees
51-200
Funding
$76-$100 million
Categories
Health Care
Healthcare
Medical Care
Ambulatory Services
Ambulance
Computer Programming
Software
Professional Services
Computers
Health Diagnostics
Personal Health
Primary and Urgent Care
About the Role
We are looking for an experienced and visionary Vice President of Data Science and Analytics Leadership who will be essential in shaping the strategic direction and impact of our data science and analytics initiatives. The ideal candidate will possess a strong technical background and a proven track record of delivering innovative solutions that generate significant business outcomes. Your key responsibilities will include:
Establishing and promoting best practices for research and analytics.
Creating a culture of excellence within the team to ensure outputs align with business impact and regulatory standards.
Guiding the long-term growth of the DS&A organization through effective talent acquisition, retention, and succession planning.
Building and scaling high-performing teams that can influence within our executive leadership.
The successful candidate will have 10-15 years of experience in data science, analytics, or related fields, with at least 5-7 years in senior leadership roles. An advanced degree in a quantitative field or equivalent experience is required. Key qualifications include:
Deep expertise in advanced machine learning, statistical modeling, experimental design, and large-scale data processing.
A history of leading significant research initiatives that provide measurable business value.
Strong leadership, communication, and interpersonal skills.
Extensive experience in data governance, MLOps, and quality assurance best practices.
A solid understanding of data architecture principles, particularly in the healthcare domain.
Our company is committed to promoting diversity and ensuring a fair hiring process that emphasizes problem-solving and mutual empowerment.
Hiring Manager Title
Chief Data Science Officer
Travel Percent
Less than 10%
Functions
Data Management/Analytics