Confidential
Vice President of Data Science & Analytics
Confidential, Oklahoma City, Oklahoma, United States, 73116
Vice President of Data Science & Analytics
About the Company
Prominent healthcare provider serving the local community
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 The Company is seeking a VP of Data Science and Analytics to play a pivotal role in shaping the strategic direction of DS&A initiatives and research projects. The successful candidate will be a visionary leader with exceptional technical depth, responsible for ensuring the delivery of high-impact solutions that drive business outcomes. This role demands a proven track record in building and scaling high-performing teams, as well as the ability to influence at an executive level. Key responsibilities include establishing best practices and standards for research, fostering a culture of technical excellence, and ensuring the team's outputs are calibrated to business impact, risk, and regulatory considerations. The VP will also be instrumental in driving the long-term growth of the DS&A organization, including talent acquisition, retention, and succession planning.
Candidates for the VP position should have 10-15 years' of experience in data science, analytics, or a related quantitative field, with at least 5-7 years' in senior leadership roles. An advanced degree in a quantitative field or equivalent practical experience is required. The ideal candidate will have deep expertise in advanced machine learning, statistical modeling, experimental design, and large-scale data processing, as well as a history of spearheading deep research initiatives that deliver significant business value. Strong leadership, communication, and interpersonal skills are essential, along with extensive experience in data governance, MLOps, and quality assurance best practices. A strong understanding of data architecture principles and experience in the healthcare domain are a plus. The company values diversity and is committed to a fair hiring process that is free from discrimination and focused on problem-solving and mutual empowerment. Hiring Manager Title Chief Data Science Officer Travel Percent Less than 10% Functions Data Management/Analytics
About the Role The Company is seeking a VP of Data Science and Analytics to play a pivotal role in shaping the strategic direction of DS&A initiatives and research projects. The successful candidate will be a visionary leader with exceptional technical depth, responsible for ensuring the delivery of high-impact solutions that drive business outcomes. This role demands a proven track record in building and scaling high-performing teams, as well as the ability to influence at an executive level. Key responsibilities include establishing best practices and standards for research, fostering a culture of technical excellence, and ensuring the team's outputs are calibrated to business impact, risk, and regulatory considerations. The VP will also be instrumental in driving the long-term growth of the DS&A organization, including talent acquisition, retention, and succession planning.
Candidates for the VP position should have 10-15 years' of experience in data science, analytics, or a related quantitative field, with at least 5-7 years' in senior leadership roles. An advanced degree in a quantitative field or equivalent practical experience is required. The ideal candidate will have deep expertise in advanced machine learning, statistical modeling, experimental design, and large-scale data processing, as well as a history of spearheading deep research initiatives that deliver significant business value. Strong leadership, communication, and interpersonal skills are essential, along with extensive experience in data governance, MLOps, and quality assurance best practices. A strong understanding of data architecture principles and experience in the healthcare domain are a plus. The company values diversity and is committed to a fair hiring process that is free from discrimination and focused on problem-solving and mutual empowerment. Hiring Manager Title Chief Data Science Officer Travel Percent Less than 10% Functions Data Management/Analytics