DescriptionAs OCI’s power portfolio evolves beyond traditional grid procurement into onsite generation, renewable PPAs, battery storage, and hedging structures, this role will be at the center of modeling those emerging commercial arrangements and quantifying their financial impact for leadership. You will own the end-to-end financial planning, analysis, and decision support for alternative power and energy costs across OCI’s global datacenter fleet. You will build and maintain the models, own the forecast, develop the unit economics, and partner directly with energy procurement, datacenter operations, and deals teams. You will be expected to understand how electricity markets work, how power delivery infrastructure affects cost, and how commercial structures translate into P&L and balance sheet impact.
ResponsibilitiesFinancial Planning: Support forecasting, budgeting, and long-range planning processes for OCI’s business units
- Own the alternative power and energy cost forecast across all OCI regions, including monthly, quarterly, and annual planning cycles. Drive accuracy and root-cause misses when they happen.
- Build and maintain financial models for onsite power generation economics, including gas turbine installations, behind-the-meter configurations, and self-generation vs. grid cost comparisons.
- Analyze fixed-price and non-grid power arrangements, including long-term power purchase agreements, tolling structures, and their financial implications across contract lifecycles.
- Develop unit economics ($/MWh, $/kW) by region, facility, and power source to support capacity planning and site selection decisions.
- Monitor wholesale electricity market dynamics (particularly ERCOT and other relevant ISOs) and translate market trends into forecast assumptions and risk assessments.
- Support mega deal financial planning by modeling power cost assumptions for large campus buildouts, including phased capacity delivery and ramp schedules.
- Build feedback loops with upstream teams: validate volume inputs from capacity planning, challenge rate assumptions from deals finance, and push for improved data quality when inputs don’t hold up.
- Create scenario analyses for leadership that frame trade-offs clearly: what happens if rates move, if generation assets underperform, if grid interconnection timelines slip.
- Automate and improve existing reporting and forecasting processes. Reduce manual effort and increase the speed and reliability of the information you deliver.
- Develop financial models that compare power sourcing strategies across the full spectrum: grid vs. off-grid, usage-based vs. fixed-price contracts, and hedged vs. unhedged exposure. Provide decision support to leadership on the cost, risk, and flexibility trade-offs of each approach.