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Denver, Colorado, United States
Hybrid
Denver Colorado, Elkridge/Baltimore Maryland, candidates preferred. Remote opportunities will be considered.
Pivot Energy, an ESG-focused IPP for distributed renewable energy, is looking for a highly self-motivated individual to manage Pivot Energy’s asset management models. The Manager will focus on improvements to operating model functionality, day-to-day model management, and sensitivity/scenario analyses.
Reporting to the VP of Asset Management. The candidate may be based remotely in the U.S., with periodic travel to our Denver home office and other company locations or for industry conferences, however, preference will be given to candidates based in or around Denver, with the expectation of working from the office on a weekly basis.
Operating Model Product Management
Serve as the product owner for the Operating Model ensuring timely, accurate, and auditable forecasts are available to relevant stakeholders
Oversee data and assumption governance, data quality, model releases, documentation, change log, and stakeholder adoption of the operating model
Ensure forecast quality through continuous refinement of input sources, assumptions, and working within forecast thresholds for accuracy (e.g. less than 2% unreconciled variance between model outputs and financial reporting)
Work with the VP, Asset Management to determine and document decision rights over assumptions and data inputs
In collaboration with the VP, Asset Management, establish the operating cadence of forecasts and reviews – delivering an updated operating model monthly within 5 business days of financial close
Over time, improve the use of manual spreadsheets across the Asset Management workflows
Strategic Forecasting & Probabilistic Modeling
Operating Model Leadership - Lead the architecture, and maintenance of the long-term Operating Model for all operating projects and working with internal teams to ensure the Operating Model architecture is a scalable, joint-use tool, maintaining rigorous documentation and version control
Probabilistic Yield Analysis – Integrate P50, P90, and P99 scenarios into fund-level forecasts including distribution analysis to support investor projections and reporting
Sensitivity and Scenario Analysis – Provide regular and ad hoc analyses quantifying the impact of key operational and market drivers on project and portfolio returns
Strategic Budget Alignment – Lead the annual project and portfolio-level budgeting process, translating operational trends into return-optimized budgets evaluated against long-term forecasting models.
Operations Modeling to Support Capital Planning
Operational Velocity Modeling –Quantify the financial impact (NPV and IRR) of improving timelines from Permission to Operate to Substantial Completion, segmented by market and EPC, to support debt conversion and accelerate cash collections.
Predictive Capital Guidance – Translate trends into forecasts that guide capital planning decisions on the optimal timing for refinancing or recapitalization based on projected cash flow stability
Metric Driven Recommendations – Provide standardized NPV and IRR impact assessments for all proposed portfolio interventions, moving beyond simple cost-benefit business cases to drive fund level requests.
BESS & Storage Analytics
Dispatch Optimization Modeling – Develop and maintain multi-variable forecasting models that optimize daily State of Charge profiles, incorporating geographic variables, shifting load patterns, and localized market pricing signals.
Performance Calibration – Establish systematic workflows to evaluate actual battery dispatch against forecasts, analyzing historical variance to continuously refine forward-looking revenue capture models.
BESS Outage and Availability Modeling – Perform stochastic analysis on BESS outages across markets and produce reports on revenue and performance impacts at the project and portfolio level. Translate battery state of health and operational data into long-term availability factors and degradation curves.
Data Integration and Reporting – Integrate actual operational and financial data into the Operating Model to enable updates and real-time portfolio visibility. Build dashboards and distribute forecasts on top of existing P&L reports to support cash flow and funding decision-making.
Bachelor’s degree in Business Administration, Economics, Engineering, Finance, Mathematics, Physics, or Computer Science, or a similar quantitative field.
5+ years of experience in an analytical role within the asset management, finance, infrastructure, renewable energy, or utilities sectors.
Data Automation: Proficiency in Python (Pandas, Numpy) for building repeatable, automated forecasting workflows – not just data preparation
Strong analytical, problem-solving, and critical thinking abilities with attention to detail.
Proficiency in Microsoft Excel; Microsoft PowerPoint; Google Suite
Excellent organizational and effective time management skills to meet and prioritize multiple deadlines in a fast-paced environment.
Comfortable working in a fast-paced, collaborative team environment.
Interest in the solar energy industry and long-term commitment to sustainability.
Excellent written and verbal communication skills, with the ability to present complex data clearly and concisely.
Master’s degree in business, finance, engineering or a quantitative field.
CFA or advanced financial modeling certification a plus.
Previous work experience in renewable energy, infrastructure, or finance.
Exposure to energy performance monitoring and financial analysis, or battery storage operations
Experience with business intelligence (BI) tools (e.g., Tableau, Power BI), database management (SQL)
