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Synchrony

VP, Enterprise Capacity Planning, Forecasting

Synchrony

Vice President leading the modernization and integration of capacity planning and workforce recommendations across Synchrony’s operations. Transforming planning processes into a standardized, automated, and recommendation-driven enterprise capability.

Posted 7/21/2026full-timeCincinnati • Illinois, Kansas, North Carolina, Ohio • 🇺🇸 United StatesLead💰 $130,000 - $210,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise-wide capacity planning and forecasting, utilizing advanced analytical techniques such as probabilistic forecasting and scenario planning. Proven ability to modernize planning processes and drive cross-functional collaboration to optimize operational performance and financial outcomes.

Highest-signal resume keywords
Capacity PlanningProbabilistic ForecastingProcess AutomationExecutive CommunicationAnalytics Tools Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ForecastingWorkforce PlanningOperations ResearchData AnalysisKPI OptimizationScenario PlanningPerformance ManagementContinuous Improvement
Soft Skills
Influencing StakeholdersCross-Functional CollaborationCoaching and Development
Tools & Technologies
PythonRSASSQLPower BITableau
Industry Keywords
Financial ServicesContact CentersBPOHigh-Volume Environments

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Own and lead enterprise-wide capacity planning and forecasting across Servicing, Collections, Recovery, and Complaints, ensuring consistent planning standards, definitions, and governance
  • Modernize and simplify the current delivery model through process re-design, automation, tooling, and scalable operating rhythms (weekly/monthly/quarterly planning cadences)
  • Transition from deterministic forecasts to probabilistic forecasts and scenario planning that incorporate macroeconomic drivers, real-time operational signals, and risk ranges
  • Build a recommendation-driven planning model that produces clear actions (e.g., staffing changes, cross-functional redeployment, vendor/augmented staffing, overtime, training throughput adjustments) with quantified impacts and confidence ranges
  • Establish an enterprise framework for cross-functional resource movement, including skill segmentation, cross-training strategy, proficiency curves, and surge playbooks across lines of business
  • Develop capacity strategies leveraging augmented staffing (BPO/partners/temporary staffing) and flexible labor models to address demand volatility while optimizing cost and performance
  • Link capacity decisions to KPI optimization across servicing and collections/recovery outcomes (e.g., ASA/abandon, AHT/productivity, quality, complaint cycle time, contact effectiveness, roll rates, cure rates, recovery income), balancing service, compliance, and cost-to-serve
  • Deliver executive-level analyses, decision packages, and “walk-throughs” that quantify strategic tradeoffs across service levels, operational risk, customer experience, and financial outcomes
  • Partner with Finance to translate operational capacity plans into financial outcomes and ensure capacity strategies align to budgets, productivity commitments, and investment roadmaps
  • Define and operationalize the roadmap for AI-enabled capacity planning, including opportunities for AI to automate planning steps, enhance accuracy, and improve recommendations
  • Quantify and incorporate the anticipated impact of automation and AI agents on work volumes, handling time, throughput, and skill requirements—integrating adoption curves and operational readiness constraints
  • Establish performance management and continuous improvement routines, including forecast accuracy, capacity utilization, productivity drivers, and plan vs. actual tracking
  • Lead, coach, and develop a high-performing enterprise team; build strong cross-functional partnerships with Operations, Complaints leadership, HR, Finance, Analytics, Risk, Compliance, and Technology
  • Perform other duties and/or special projects as assigned

Requirements

What you’ll need
  • Bachelor’s degree; Or in lieu of Degree, 14+ years of experience in forecasting, workforce/capacity planning, operations research, or workforce analytics in high-volume environments (financial services, contact centers, back-office operations, BPO)
  • 10+ years of experience in forecasting, workforce/capacity planning, operations research, or workforce analytics in high-volume environments (financial services, contact centers, back-office operations, BPO)
  • Demonstrated experience modernizing planning processes and operating models (standardization, automation, governance, adoption)
  • Strong analytical background with experience in probabilistic forecasting, scenario planning, and translating analytics into executive recommendations.
  • Proven ability to influence and drive alignment across senior stakeholders; strong executive communication skills (written, verbal, and presentation)
  • Proficiency with analytics tools and data environments (e.g., Python/R/SAS/SQL) and BI tools (Power BI/Tableau)
  • Ability and flexibility to travel for business as required

Benefits

Comp & perks
  • flexibility to work from home near one of our Hubs or come into one of our offices
  • required to commute to your nearest Hub for in-person engagement activities