Director, Software and Data Science

Summary

Join Convergent Energy and Power as the Director, Software and Data Science, a fully remote role (or hybrid in NYC), leading the development and evolution of internal software and data science solutions supporting renewable energy projects. You will blend technical leadership in data science and software engineering with lightweight product management. This people management role oversees 1-3 individual contributors. The position involves developing intelligent decision-support tools, coordinating cross-functionally, and supporting portfolio performance and reporting. Applicants must be authorized to work in the US or Canada; visa sponsorship is unavailable. The salary range is $190,000-$210,000.

Requirements

• Bachelor’s degree in a relevant field (e.g., mathematics, physics, computer science, data science)
• 5 years of experience in a similar role
• Proficiency in modern programming languages and frameworks with a focus on web development. Our tech stack includes C#, ASP.NET, T-SQL, Python, React
• Extensive experience with TensorFlow/PyTorch, scikit-learn, and time-series forecasting
• Outstanding written and verbal communication skills, with the ability to convey complex technical concepts like machine learning algorithms to diverse audiences
• Strong analytical and problem-solving abilities, with keen attention to detail and accuracy
• Highly organized and able to manage multiple priorities in a fast-paced environment
• Collaborative mindset with the ability to build strong relationships and drive projects to completion with minimal supervision
• Eager to develop new skills, tools, and knowledge through on-the-job experience and training
• Open to constructive feedback and committed to continuous improvement
• Alignment with Convergent’s mission and values: Continuous Improvement, Diversity Equity and Inclusion, Ethical Governance, Safety, Sustainability, Collaboration, Ownership, Resilience, and a strong interest in the Clean Energy Transition
• This role requires 5% travel, primarily for team events and company-wide meetings

Responsibilities

• Develop, deploy, and improve intelligent decision-support tools (70%)
• Lead the evolution of PEAK IQ—our suite of prediction and dispatch co-optimization algorithms—by advancing machine learning models that help operators maximize revenue and system performance
• Design and implement ensemble modeling approaches to combine signals from multiple models, data sources, and forecast strategies, improving reliability and performance across diverse operating scenarios
• Drive efforts to structure, train, and validate time-series models using internal and external data (e.g., forecasts, weather, market pricing, telemetry)
• Oversee and improve data collection services and pipelines that power PEAK IQ and other internal analytics
• Direct development of the Asset Management Platform (AMP)—Convergent’s internal scheduling and monitoring tool—ensuring tight integration between front-end user interfaces and back-end data pipelines
• This role requires hands-on work in data science, and ideally, the ability to contribute to front-end application development and database design
• Participate in code reviews, set technical standards, and ensure reproducibility and transparency in modeling pipelines
• Cross-functional coordination and team development (10%)
• Lead strategy and check-in meetings across Asset Operations, Strategic Analytics, and Portfolio Management to align on development priorities and timelines
• Clearly communicate modeling logic, system behaviors, and data limitations to non-technical stakeholders
• Educate the organization on the design, purpose, and business impact of Convergent’s intelligent tools
• Manage and mentor internal developers and data scientists; oversee third-party resources as needed
• Lightweight product oversight to maintain a well-organized Jira backlog with clearly defined priorities
• Lead recurring sprint planning and progress check-ins to track development and ensure accountability
• Gather and integrate stakeholder feedback from across the company to refine roadmap and feature scope
• Portfolio performance and reporting support (10%)
• Lead efforts to structure and serve operational and financial data for use in dashboards, compliance reporting, and strategic analysis
• Collaborate with portfolio managers to increase data accessibility and reliability for forecasting, settlements, and decision-making
• Oversee data hygiene and quality assurance efforts across key datasets
• People Management (10%)
• Conduct regular one-on-one meetings with direct report(s) and follow Convergent’s performance review cycle, setting clear goals, evaluating outcomes, and addressing performance issues promptly and effectively
• Work with People Operations to handle personnel matters with professionalism, including onboarding, growth, training, hiring, resolving conflicts and making informed recommendations on corrective actions, and staff transitions when necessary
• Foster a positive team culture that embodies Convergent’s values

Preferred Qualifications

• Advanced degree (MS, PhD) in a technical field
• Proficiency in building and managing cloud-based software infrastructure, ideally in MS Azure
• Experience in renewable energy (PV, BESS) is highly preferred, though candidates from other energy/utility industries with strong technical backgrounds will be considered

Benefits

• Medical, Dental, and Vision insurance
• Vacation, Sick, and Volunteer days
• 401K with an employer safe harbor match