Talent Intelligence Manager

Presbyterian Healthcare Services•Reverend Hugh Cooper Administrative Center, FL

2d•$100,152 - $156,832•Onsite

About The Position

The Talent Intelligence Manager leads the strategy, development, and delivery of workforce intelligence, talent analytics, and labor market insights to inform talent planning, acquisition, and development across the organization. This role transforms complex data into actionable insights, enabling leadership to make informed, data-driven decisions. The position owns the end-to-end talent data lifecycle, including defining data requirements, partnering with analytics to ensure proper system configuration and data capture, and overseeing how data is structured, stored, validated, and maintained. This role translates business needs into data solutions by partnering with stakeholders to track key metrics, troubleshoot data issues, and ensure accurate, complete, and reliable reporting related to Talent Acquisition. The Talent Intelligence Manager uses internal and external data sources to identify workforce trends, support planning and forecasting, and deliver complex analyses and insights that drive strategic decision-making. It also partners with analytics to develop scalable reporting and analytics solutions that enhance organizational performance and enable the organization to attract, hire, and retain top talent.

Requirements

Bachelor’s degree in Business, Analytics, or related field, with 4+ years of direct experience in talent analytics, workforce intelligence, or business intelligence within a healthcare environment
Demonstrated ability to analyze and translate complex data into clear, actionable insights for diverse audiences
Proven experience delivering executive-level presentations, reports, and data storytelling
Experience developing and maintaining analytics, dashboards, and reporting solutions
Strong analytical, problem-solving, and communication skills (verbal and written)
Ability to work collaboratively with cross-functional stakeholders and influence decision making

Nice To Haves

Master’s degree in Analytics, Business, Healthcare Administration, or related field
Experience with predictive analytics, forecasting, or workforce modeling
Experience supporting enterprise workforce strategy or executive leadership initiatives
Experience with data visualization and storytelling tools, including Workday, Tableau and executive presentation platforms (e.g., PowerPoint, modern visualization/design tools)
Working proficiency in data environments and analytics platforms (e.g., SQL, SSMS, Snowflake, or similar systems)
Strong proficiency with ATS, CRM, or talent intelligence platforms preferred
Familiarity with labor market intelligence tools (e.g., LinkedIn Talent Insights, Lightcast) preferred

Responsibilities

Lead the development and delivery of enterprise talent intelligence reporting, including Talent Acquisition (TA) MOR/QBR reporting, workforce planning, cost of hire and turnover analysis, performance reporting, executive insights,, and data-driven narratives to support decision-making
Partner with TA leaders to identify workforce trends, risks, and opportunities, advancing a data-driven performance culture through insights and reporting that reinforce accountability and performance management
Deliver labor market insights and talent supply/demand analysis, particularly for critical healthcare roles
Partner with analytics function to design, develop, and maintain reporting and analytics solutions, ensuring data integrity, quality, consistency, and accurate data capture across systems
Serve as a data steward by defining data standards, business rules, and analytics frameworks
Translate business and stakeholder needs into scalable solutions, including metric definition, reporting frameworks, and insight delivery
Lead workforce planning, forecasting, and pipeline strategy through advanced analytics and trend evaluation
Support recruitment marketing and branding through data-driven insights, reporting, and presentations to measure and optimize effectiveness
Identify process improvement opportunities and collaborate with internal and external partners to deliver integrated analytics solutions