Sr. Manager, Talent Planning & Analytics

Red Bull•Santa Monica, CA

6d•$120,000 - $180,000

About The Position

Manages Talent Analytics and Planning activities within North America, driving the effective use of data and insights to support business and Talent objectives. Leads workforce and cost planning across North America, partners with Global HR Analytics to incorporate regional business needs into global data products, and ensures data quality and integrity for effective planning and data-driven decisions. Mentors and develops two direct reports. The role defines priorities and direction for the Talent Planning & Analytics function, allocates resources, collaborates with stakeholders at Red Bull Headquarters in Austria, and keeps current on workforce analytics practices and technology. It oversees headcount and talent cost planning cycles with Finance, improves planning processes, supports Talent Partners in using workforce planning tools, and develops cost modeling solutions with Finance, Talent Business Partners, and compensation teams. The position promotes data-driven decision-making by leveraging Talent data products, improving data integrity and integration, partnering with Global HR Analytics, and encouraging adoption of new products. It analyzes Talent data to identify trends and opportunities and translates findings into actionable insights. It also identifies opportunities to enhance HR analytics solutions, processes, and tools.

Requirements

Experience in data analysis, HR analytics, workforce planning, and/or financial analysis.
Experience with workforce planning, HRIS, and business intelligence or visualization platforms.
Strong understanding of HR processes, metrics, and systems across regional or multi-country operations.
Strong analytical and problem-solving skills, including the ability to translate data into actionable insights for non-technical audiences.
Experience leading and developing small teams.
Strong project management skills, including the ability to prioritize competing tasks and lead projects in fast-paced environments.
Proficiency in data visualization tools such as Power BI.

Nice To Haves

Familiarity with statistical tools such as R or Python.
Familiarity with systems such as SAP SuccessFactors, SAP BI, or Anaplan.

Responsibilities

Define annual direction and priorities for the Talent Planning & Analytics function, including local projects and initiatives aligned with Talent objectives.
Allocate resources to balance priorities and ensure timely delivery of projects and tasks.
Collaborate with stakeholders at Red Bull Headquarters in Austria to advance Talent Planning & Analytics as a global function.
Stay current on workforce analytics practices, tools, and technology and identify opportunities to strengthen capabilities.
Lead, guide, mentor, and develop two direct reports.
Oversee headcount and talent cost planning for North American entities in partnership with Finance and in accordance with regional and global processes and timelines.
Improve North American workforce planning processes and support Talent Partners in using workforce planning tools and analyzing headcount and cost impacts.
Develop cost modeling solutions with local Finance, Talent Business Partners, and compensation teams to support scenario testing and planning inputs.
Leverage Talent data products to promote data-driven decision-making within the Talent department.
Partner with Talent, Systems, and global teams to ensure Talent data integrity and integration, and build awareness of how data inputs affect reporting and insights.
Collaborate with Global HR Analytics to ensure North American business needs are reflected in existing and upcoming data products.
Drive adoption of newly developed data products.
Analyze Talent data to identify trends and business opportunities, translate data into actionable insights, and identify uses for advanced analytical or statistical approaches.
Monitor HR analytics trends and best practices and identify opportunities to add regional value.
Collaborate with Global HR Analytics to explore enhanced solutions and process improvements.