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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Workforce Management, Capacity Planning, and Forecasting, utilizing advanced analytics and AI-enabled tools to enhance decision-making and operational efficiency. Proficient in translating complex data insights into actionable strategies and executive-level presentations.
Highest-signal resume keywords
Workforce ManagementCapacity PlanningForecasting MethodologiesAdvanced Excel ProficiencyData Visualization Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Workforce ManagementCapacity PlanningForecastingBusiness AnalyticsOperational Performance AssessmentAnalytical Model DevelopmentScenario AnalysisProductivity AnalysisOperational Performance MetricsCritical Thinking
Soft Skills
Analytical SkillsProblem-SolvingCommunicationCollaborationLeadership
Tools & Technologies
Power BISQLPythonTableauAI-Enabled Technologies
Industry Keywords
Operations StrategyWorkforce Impact AssessmentsGovernance PracticesContinuous ImprovementBusiness Case Analyses
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Lead the planning, development, execution, monitoring, and continuous enhancement of workforce management models supporting RESL Operations.
- Design, maintain, and optimize workforce capacity plans that align staffing supply with workload demand while balancing customer, colleague, and business outcomes.
- Partner with business leaders, Product Groups, and key stakeholders to understand operational strategies, volume drivers, and future business changes impacting workforce requirements.
- Develop forecasting methodologies, workforce models, and scenario analyses to evaluate resource needs, productivity opportunities, and operational risks.
- Conduct workforce impact assessments and business case analyses to quantify the impact of strategic initiatives, process changes, technology enhancements, and operating model transformation.
- Leverage advanced analytics, automation, and AI-enabled tools to improve forecasting accuracy, workforce efficiency, and decision support capabilities.
- Translate complex workforce insights into actionable recommendations and executive-level presentations that support strategic planning and investment decisions.
- Lead and facilitate working sessions, governance routines, and cross-functional initiatives involving multiple business partners and stakeholders.
- Support the development of workforce management standards, methodologies, governance practices, and forecasting best practices across supported business areas.
- Partner with Data, Analytics, Technology, and Operations teams to ensure workforce metrics, calculations, and reporting solutions remain accurate, scalable, and aligned with business objectives.
- Identify, evaluate, and implement opportunities to improve workforce planning processes through automation, continuous improvement, and innovative solutions.
- Develop educational materials, playbooks, job aids, and presentations to enhance workforce management knowledge and capability across the organization.
Requirements
What you’ll need- Experience in Workforce Management, Capacity Planning, Forecasting, Business Analytics, Operations Strategy, or related disciplines.
- Advanced proficiency in Microsoft Excel with demonstrated experience building analytical models and decision-support tools.
- Strong analytical, critical thinking, and problem-solving capabilities with the ability to translate data into actionable business insights.
- Experience developing workforce forecasts, capacity models, scenario analyses, and operational performance assessments.
- Knowledge of workforce management principles, forecasting methodologies, productivity analysis, and operational performance metrics.
- Experience utilizing data visualization, reporting, and analytical tools such as Power BI, SQL, Python, Tableau, or similar platforms is considered an asset.
- Demonstrated ability to leverage analytics, automation, or AI-enabled technologies to improve business outcomes and workforce planning effectiveness.
- Undergraduate degree in Business, Economics, Operations Research, Mathematics, Statistics, Data Analytics, Computer Science, or a related quantitative discipline is preferred.
Benefits
Comp & perks- Health and well-being benefits
- Paid time off
- Career development opportunities
- Reward and recognition programs
