Lead Enterprise Risk Management -Mumbai (Sr. Manager Level)

Job : Senior Manager Entriprise Risk Management

Function: Risk & Contract Management

Location: Mumbai

Qualification: BTech + MBA / Risk Management Qualification

Experience : 7 to 15 yrs

Company : Large enterpeise in renewable sector

Package : 25 to 35 LPA

Job Discription:

Role Objective

To identify, monitor and mitigate risks across the entire lifecycle of renewable energy projects—from conception and award through procurement, construction, commissioning, operations, and asset life—by integrating execution, market, climate, ESG, and financial risks into decision-making.

This role is a critical enabler for protecting and enhancing EIRR and ensuring capital disciplined through robust risk governance, realistic assumptions, and actionable insights.

Key Responsibilities

1. Lifecycle Risk Management

• Analyse and manage risks across land, permitting, connectivity, resource assessment, procurement, construction, commissioning, operations, and asset life.
• Explicitly assess procurement risks including:
  • Price volatility, FX exposure, customs duties, ALMM / domestic sourcing risks

  • Vendor financial health, delivery slippages, warranty enforceability and contract enforcement
• Evaluate market risks:
  • Tariff adequacy , merchant exposure, curtailment risk

  • Payment security, change-in-law and regulatory uncertainty

  • Macro-economic changes and impact on business
• Assess climate and physical risks across project life:
  • Resource variability (wind/solar deviation, degradation uncertainty)

  • Extreme weather (flooding, cyclones, heat stress, dust, hail)

  • Long-term climate change impacts on generation, availability, and O&M costs
• Identify ESG and social risks and suggest risk mitigation actions:
  • Land acquisition complexity, community opposition, livelihood impact

  • Biodiversity, forest, wildlife, and compliance risks

  • Labour, HSE, contractor practices, and reputational exposure
• Analyse correlated and cumulative risks, rather than isolated issues, for:
  • IRR/EIRR erosion

  • COD slippages

  • Cost overruns and long-term asset performance
  
  

2. Schedule – Cost – Revenue Risk Integration

• Integrate land readiness, connectivity milestones, regulatory approvals, procurement timelines, construction progress, and contractual obligations into risk-adjusted forecasts.
• Quantify impact of delays and disruptions on:
  • IDC and financing costs

  • LD exposure (EPC, transmission, PPA)

  • PPA revenue loss, merchant downside, O&M recovery
• Develop downside/upside scenarios for COD
• Validate assumptions using historical project data, vendor performance data, and site feedback.
• Challenge optimistic schedules, cost assumptions, and recovery plans with evidence-based analysis.
• Ensure alignment with engineering and land controls (ROW readiness, hydrology clearance, geotechnical risk, design loss discipline).

3. Portfolio-Level & Strategic Risk Assessment

• Assess portfolio exposure to:
  • Technology concentration (FT vs trackers, turbine platforms, BESS chemistries)

  • Geographic and climate clustering risks

  • Vendor and supply-chain concentration
• Evaluate emerging technology and market developments (hybrids, RTC, storage, ancillary markets) for strategic and balance-sheet risk.
• Support decisions with risk-adjusted returns, not headline IRRs.

4. Management & Board Reporting

• Develop risk dashboards, heatmaps, and sensitivity analyses with quantified financial exposure.
• Maintain a dynamic enterprise risk register with early-warning indicators.
• Present forward-looking risk outlooks to senior management and investment committees.
• Ensure KPI-linked accountability across BD, procurement, projects, regulatory, and O&M teams.

5. Data, Systems & Tools Development

• Structure and integrate risk data from BD, PD, procurement, regulatory, legal, projects, and O&M.
• Define standard risk metrics (schedule risk, procurement risk premium, resource uncertainty, ESG exposure).
• Maintain a single source of truth for generation-risk attribution, aligned with O&M analytics and financial models.
• Continuously improve risk modelling frameworks and decision tools.

Key Skills & Competencies

• Strong scenario modelling, probabilistic risk analysis, and sensitivity assessment capability.
• Deep understanding of renewable project execution realities (solar, wind, hybrid, BESS).
• Strong grasp of procurement economics, supply-chain risks, and contract structures.
• Ability to bridge engineering execution, ESG realities, and financial outcomes.
• High analytical rigor combined with practical, on-ground judgement.
• Confidence to challenge senior stakeholders with data-backed insights.

Qualifications & Experience

• MBA (Finance) with B-Tech / Engineering / Economics background.
• 8–12 years of experience in project/ corporate finance with some exposure to risk.
• Direct exposure to live project execution, procurement, or asset operations is strongly preferred.