Job Summary
Job Title: E1.2 (FP&A – Planning, Performance & Business Finance Lead)
Location: Hyderabad or Noida
Job Type: Full-Time work from office
Company Overview: XXXX
Job Overview:
We are seeking an experienced and dynamic FP&A Team Lead with 8–10 years of experience to lead financial planning, forecasting, and business finance activities. This role combines strong financial expertise with people leadership and strategic business partnering.
The ideal candidate will oversee a small FP&A team, drive planning cycles, ensure high-quality financial insights, and partner with senior stakeholders to support decision-making and business performance.
Key Responsibilities
Key Responsibilities:
Team Leadership & Management:
- Lead, mentor, and manage a team of FP&A analysts, ensuring high performance and adherence to KPIs and timelines
- Drive a culture of accountability, collaboration, and continuous learning
- Review team deliverables to ensure accuracy, consistency, and quality
- Support hiring, training, and development initiatives
Financial Planning & Budgeting (Ownership):
- Lead the preparation of: Annual Operating Plan (AOP), Quarterly forecasts, Long-range strategic plans
- Partner with business leaders to: Align financial targets with strategy; Validate assumptions and key drivers
Forecasting & Performance Management:
- Own and govern rolling forecasts and performance tracking
- Monitor key metrics: Revenue, margins, costs, and profitability
- Identify risks and opportunities and recommend corrective actions
Financial Analysis & Decision Support:
- Lead deep-dive analysis, scenario planning, and business case evaluation
- Provide actionable insights to support: Investments, Cost optimization, Growth initiatives
- Drive root cause analysis for performance deviations
Business Partnering & Stakeholder Management:
- Act as a trusted finance partner to senior stakeholders (Business Heads, Operations, Sales, HR)
- Present financial results, forecasts, and strategic insights to leadership
- Influence decision-making through data-driven recommendations
Management Reporting & Insights:
- Oversee preparation of: Monthly and quarterly management reports; Executive dashboards and KPIs
- Ensure clear financial storytelling and insight-driven reporting
- Standardize reporting frameworks across business units
Process Improvement & Automation:
- Identify and implement automation and efficiency initiatives in planning and reporting
- Work with IT/analytics teams to enhance tools and systems
- Drive SOP development, process standardization, and best practices
Data, Systems & Governance:
- Ensure accuracy, integrity, and consistency of financial data
- Optimize use of: ERP systems (SAP, Oracle, etc.); Planning tools (Anaplan, Hyperion, Adaptive, etc.)
- Maintain strong controls around planning and reporting processes
Audit, Risk & Compliance:
- Ensure adherence to financial governance, policies, and controls
- Support internal and external audits
- Ensure compliance with corporate policies and regulatory requirements
Skill Requirements
Qualifications:
- Bachelor’s or Master’s degree in Finance, Accounting, Economics, or related field
- MBA / CA / CFA (preferred but not mandatory)
- 8–10 years of experience in FP&A, business finance, or corporate finance
- Prior experience in team leadership / people management is essential
- Experience in shared services / GCC / multinational environment preferred
- Advanced Microsoft Excel (financial modeling, automation)
- Strong experience with ERP systems (SAP, Oracle, etc.)
- Exposure to: Planning tools: Anaplan, Hyperion, SAP BPC, Adaptive Insights; BI tools: Power BI, Tableau
- Excellent analytical, problem-solving, communication, and leadership skills.
- Proven ability to manage process improvements, implement automation, and drive compliance and internal controls
Preferred Skills:
- Expertise in financial modeling, scenario planning, and strategic analysis
- Experience in automation (Power Query, VBA, Python – optional)
- Strong presentation and executive communication skills
- Experience handling large and complex datasets