VP of Data Science - Charles City, United States - Global Network Technologies

Global Network Technologies Charles City, United States

2 weeks ago

Description

Type:
Full time

Acting as the company-wide data science lead, program managing multiple critical data and AI initiatives and directing the future of data science within the organization
Coordinating multiple parties to launch data and AI initiatives, beginning in Q Key stakeholders include the internal technology organization, business operators and P&L owners, and third-party development partners
Monitoring, managing, and optimizing program performance and impact – assessing changes in patient interactions, staff performance, and healthcare provider client account performance, and designing and recommending program changes as required
Clearly communicating program performance and impact to business, finance, and board audiences

Job title:
Data science

Location:
Remote

Visa:
USC/GC

Type:
Full time

Key Responsibilities

In this role, the Data Science leader will be responsible for:

Acting as the company-wide data science lead, program managing multiple critical data and AI initiatives and directing the future of data science within the organization
Coordinating multiple parties to launch data and AI initiatives, beginning in Q Key stakeholders include the internal technology organization, business operators and P&L owners, and third-party development partners
Monitoring, managing, and optimizing program performance and impact – assessing changes in patient interactions, staff performance, and healthcare provider client account performance, and designing and recommending program changes as required
Clearly communicating program performance and impact to business, finance, and board audiences

Job Duties

This role is currently an individual contributor position with an expectation of team growth in 2024.

We expected that job duties will be split between:

Program and stakeholder (internal and external) management
Requirements gathering and translation into program design and enhancement
Hands-on-keyboard programming, modelling, and data analysis

Qualifications

8+ years' experience in a hands-on data science role
Clear familiarity and comfort with fundamental data science principles (model creation, training, evaluation, ML ops, and internal communication)
Demonstration of previous close coordination with DBA and dev ops staff is ideal
Programming experience with some variety of data science, data management, and data visualization tools; for example, R, Python, SQL, SAS, PowerBI
Familiarity with data warehouses, data architecture, and data operations principles
Demonstrated experience in managing a data science initiative/program/function within an organization, including accountability to a program outcome, managing internal and external stakeholders (up to C-suite/executive level), and vendor management
Experience with Azure DevOps or similar application lifecycle management tools is an asset
Healthcare analytics experience is required; revenue cycle management, digital patient engagement/omnichannel engagement are each an asset
People leadership experience is an asset, but not immediately required. An otherwise aligned candidate with limited/no leadership experience will not be eliminated from consideration on this basis
Seniority level

Seniority level

Executive
Employment type

Employment type

Full-time
Job function

Job function

Engineering and Information Technology
Industries

Staffing and Recruiting
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