Job Information
CommonSpirit Health System Manager People Data Science in Phoenix, Arizona
Overview
Inspired by faith. Driven by innovation. Powered by humankindness. CommonSpirit Health is building a healthier future for all through its integrated health services. As one of the nation’s largest nonprofit Catholic healthcare organizations, CommonSpirit Health delivers more than 20 million patient encounters annually through more than 2,300 clinics, care sites and 137 hospital-based locations, in addition to its home-based services and virtual care offerings. CommonSpirit has more than 157,000 employees, 45,000 nurses and 25,000 physicians and advanced practice providers across 24 states and contributes more than $4.2 billion annually in charity care, community benefits and unreimbursed government programs. Together with our patients, physicians, partners, and communities, we are creating a more just, equitable, and innovative healthcare delivery system.
Responsibilities
The Manager, People Data Science leads the design, implementation, and evolution of a cutting-edge data architecture that enables the Talent, Learning & Capabilities function to deliver strategic, data-driven decision-making support. Leveraging expertise in advanced analytics, machine learning, and data visualization, this role entails technical leadership to guide the creation of impactful solutions that meet the needs of stakeholders across Human Resources and the broader organization.
As a key leader within the People Insights team, the Manager, People Data Science serves as the principal architect of the data science roadmap, ensuring alignment with organizational goals and leveraging modern tools and techniques to deliver predictive and prescriptive insights. This role collaborates heavily with researchers and the People Insights Products and Platforms team to enhance the maturity and robustness of solutions delivered. This role also provides mentorship and quality assurance across all advanced analytics efforts, fostering a data-driven culture and enabling actionable insights that address complex business challenges.
Key Responsibilities
Defines, maintains and executes a forward-looking data architecture roadmap aligned with HR and organizational priorities.
Identifies and prioritizes closing data gaps, ensuring scalability and integration with enterprise data platforms.
Champions the use of emerging data science tools and technologies to optimize the insights function.
Oversees the development of predictive and prescriptive models using techniques such as regression, machine learning (e.g., Random Forests, Gradient Boosting, Neural Networks), Structural Equation Modeling, and Path Analysis.
Leads the application of advanced data science methodologies to create actionable insights, forecasts, and scenario simulations for HR leaders and key stakeholders.
Stays ahead of industry trends, introducing innovations like generative AI and Natural Language Processing (NLP) to enhance data analysis capabilities.
Translates complex analytics outputs into intuitive, actionable insights for decision-makers through dashboards, interactive tools, and storytelling.
Provides supplemental documentation, training, and resources to empower leaders to make data-driven decisions effectively.
Builds frameworks to enable predictive models to integrate seamlessly into HR processes and workflows.
Manages and mentors data analysts and scientists, fostering a culture of innovation, collaboration, and continuous learning..
Coordinates with external vendors and consultants to ensure high-quality data solutions and adherence to industry best practices.
Ensures all analytics outputs are robust, accurate, and actionable by establishing and enforcing quality control protocols.
Reviews and refines methodologies to ensure alignment with ethical and privacy considerations, particularly in people analytics.
Qualifications
Qualifications
Bachelor’s degree in Data Science, Computer Science, Industrial/Organizational Psychology, Finance, Human Resources, Business Administration, or a related field. A master’s degree or higher is strongly preferred.
A minimum of 5 years of experience in data science, analytics, or related fields, with at least 1 year in a leadership, supervisory or team management role
Proven expertise in advanced analytics and machine learning, with proficiency in R, Python, or equivalent programming languages.
Experience in designing and implementing data architecture and operationalizing advanced analytics in a business environment.
Strong knowledge of HR processes, workforce analytics, and business operations.Strong communication and interpersonal skills, with a demonstrated ability to present complex data in a clear and actionable manner to executives.
A track record of staying ahead of emerging trends in data science, such as generative AI, NLP, and automated machine learning.
Pay Range
$40.66 - $58.96 /hour
We are an equal opportunity/affirmative action employer.