Con Edison, a multibillion-dollar energy utility, is leading the clean energy transition in New York City and Westchester County. We are investing hundreds of millions of dollars annually to integrate distributed resources into our electric and gas systems, support electric vehicle charging infrastructure, and scale adoption of energy efficiency and clean heating technologies across our customers.

Build your clean energy career on one of the largest electric vehicle teams in the country!This is a great role to demonstrate your ability to drive results, apply cross-disciplinary skills to the clean energy space, collaborate closely with diverse teams, and gain firsthand experience with the clean energy transition and the EV charging market.

Join a fast growing and dynamic team and support one of the countrys largest electric vehicle (EV) incentive programs and play an important role in the buildout of EV charging across the New York City area.

We are seeking a highly analytical and detail-oriented Clean Energy Senior Specialist to evaluate business processes, identify operational risks, and drive efficiency through data-driven solutions. The role is ideal for a process thinker with strong statistical and research skills, excellent communication abilities, and a passion for continuous improvement.

Required Education/Experience

• Bachelor's Degree and 3 years' work experience or
• Master's Degree and 2 years' work experience

Relevant Work Experience

• Ability to build positive relationships with colleagues who have a diverse set of experiences and approaches in order to drive business results, required.
• Demonstrated ability to manage and organize large, complex data sets, required.
• Demonstrated ability to manage tense, complex, or technical customer issues in a calm, thorough, and professional manner, required.
• Demonstrated agility and flexibility to deal with ambiguity and comfortable working in a dynamic and fast-paced environment, required.
• Strong communications, presentation and writing skills, required.
• Highly proficient in Microsoft Office suite (i.e. Outlook, Excel, Word, PowerPoint), required.
• Proven experience in financial analysis, business process analysis, risk management, auditing or operations improvement, required.
• Strong statistical and research skills, including knowledge of sampling techniques and data analysis, required.
• Proficiency in digital data collection tools, required.
• Excellent communication, presentation and writing skills, required.
• Excellent stakeholder management skills, required.
• Ability to prioritize tasks based on financial impact and organizational goals, required.
• Strong problem-solving skills and commitment to continuous improvement, required.
• Experience designing dashboards, metrics and reporting frameworks, preferred.
• Customer-oriented mindset and collaborative working style, required.

Licenses and Certifications

• Driver's License Required

Additional Physical Demands

• The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.
• The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.

Core Responsibilities

• Conduct structured risk discovery and assessment activities to identify, assess, and prioritize programmatic and operational risks across SCNY programs and select department initiatives by reviewing processes, procedures, documentation, financials, data flows, controls, and tools; identify potential failure points including fraud risk, data integrity issues, incentive calculation accuracy, process nonadherence, and control gaps across end-to-end program execution.
• Design, implement, and continuously improve QAQC and evaluation methodologies aligned with EM&V best practices, including standardized test procedures, sampling strategies, checklists, key risk indicators, and data collection templates (manual or automated).
• Analyze large, complex programmatic, financial, and operational datasets to perform QAQC reviews, risk assessments, and targeted evaluations; identify issues, anomalies, trends, and assess program performance, control effectiveness, and data integrity using quantitative and qualitative techniques.
• Define and apply clear QAQC decision criteria, including pass/flag/fail thresholds, cure requirements, and standardized corrective actions, ensuring consistent, defensible, and repeatable outcomes across reviews.
• Perform statistical sampling and quantitative analysis to design representative samples, analyze results, measure financial and operational impacts, identify trends, and assess program performance and data quality over time.
• Develop and lead root cause analysis processes for QAQC findings, flags, and failures; determine underlying drivers of issues and collaborate with program teams to design effective and sustainable corrective and preventative actions.
• Establish, document, and maintain standardized QAQC processes and SOPs, including end to end timelines, quality checkpoints, dependencies, handoffs, communication protocols, reporting expectations, and continuous refinement based on lessons learned and evolving requirements.
• Design and conduct targeted internal studies and audit style evaluations (for internal use), including assessments of overall program performance, incentive calculation accuracy, data quality, energy consumption, and customer behavior.
• Synthesize and communicate quantitative and qualitative QAQC, risk, and evaluation findings through written reports, executive ready presentations, dashboards, and data visualizations on recurring cadences (weekly, monthly, quarterly, annually), highlighting trends, risks, control effectiveness, and actionable recommendations for program teams, management, and department leadership, and represent the organization in internal and external forums as needed.
• Collaborate cross functionally to integrate risk findings, controls and change initiatives into program design and operations, develop department-level risk frameworks, and ensure compliance with company and regulatory policies.