Product Manager, Analytics and Data Quality (Renewables)

Product Manager, Analytics and Transport Data Quality

About Radian Generation

Radian Generation is a global provider of critical technology-forward services designed specifically to support the comprehensive lifecycle of renewable facilities—including solar, wind, and energy storage.

Who We Serve

Radian Generation’s wide range of commercial, technical, and compliance services provide developers, owners, and operators with critical insights into each aspect of their assets to make better-informed decisions.

Radian Generation is committed to supporting greater diversity in the renewable energy industry. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

This individual will work with Customers, Software Engineering, Data Scientists, Operational Technology, Security specialists, and Product Managers to develop solutions that provide timely, accurate performance data.

Product responsibilities include dramatically improving the speed, reliability and consistency of establishing and maintaining the data connection. This includes

• Working with OT and Security specialists to define a reliable platform for on-site software deployments across a range of project technologies and sizes from solar DAS replacements to large utility solar+storage systems.
• Working with software engineering to roadmap improvements to software solutions that securely provide performance data to asset managers and performance engineers.
• Working with software architecture to optimize solutions for reliability, quality, and cost.
• Partner with Data Scientists and ML Engineers to define AI models and agentic workflows that automate data quality monitoring, anomaly detection, and rootcause diagnosis.
• Drive the integration of AI agents capable of coordinating OT signals, data ingestion pipelines, and human oversight workflows.
• Define success criteria and evaluation frameworks for AIpowered features including precision/recall, explainability, user trust, and operational reliability.
• Collaborate with UX Design to build delightful humanintheloop experiences that allow operators to supervise AI agents, validate decisions, and intervene as needed.
• Work with Engineering to implement guardrails, observability, and versioning for AIdriven components and agents.

Responsibilities

• Determine the overall vision of Radian Generation’s Transport software.
• Define product strategies to resolve issues with the quality, completeness, and reliability of site data.
• Improve processes for monitoring and proactive response to data quality issues.
• Collaborate with internal / external stakeholders to understand their needs and translate them into product requirements.
• Identify opportunities to simplify processes using AI automation and domainspecific agent orchestration.
• Document use cases, feature descriptions, and user stories to build viable backlog items.
• Translate user pain points into ML feature requirements, model behaviors, and agent capabilities.
• Manage the product backlog and prioritize features based on internal / external needs and shifting requirements.
• Oversee all stages of product design and development.
• Monitor and evaluate product progress at each stage of the process.
• Deliver updates to internal / external audience and provide training to end users.
• Continuously monitor model and agent performance in production and influence iteration roadmaps.
• Additional duties as assigned.

Preferred Experience

• 3+ years in a product role.
• Handson experience using or integrating AI solutions (e.g., LLMs, ML models, automated agents) into business or product workflows.
• Ability to translate ambiguous user needs into structured prompts, agent goals, and AI-enabled product features.

Required Qualification & Education

• Demonstrable expertise in Data Visualization or Analytics.
• Domain knowledge in solar / wind / storage.

To perform the job successfully, the candidate should demonstrate competencies in performing the essential functions of this position by performing satisfactorily in each of these competencies:

• Technical knowledge in performance analysis for wind, solar, or storage projects.
• Understanding of IoT data streams and addressing scalability across many projects.
• Comfort operating in AIassisted product environments, including prompt design, reasoning about agent delegation, and evaluating AI outputs.
• Understanding how to blend statistical models, LLMs, and rulesbased systems to drive robust outcomes in datadependent environments.
• Ability to assess which parts of the data quality and transport pipeline are suitable for automation, semiautomation, or human oversight.
• Understanding of the economics of renewable energy and the impact of performance.
• Ability to communicate effectively (written, verbal and visual) with different audiences and develop a deep understanding of each user’s goals while synthesizing common characteristics.
• A passion for renewable energy and a commitment to customer success.
• Self-sufficient, able to focus and to make trade-offs when needed to optimize outcome as conditions change and uses own judgment.
• Demonstrates passion to learn in a rapidly growing and evolving environment.
• Experience working with AI agent frameworks or orchestration platforms.
• Knowledge of MLOps or DataOps pipelines, particularly around timeseries or IoT data.
• Use of agile planning tools such as Jira.

Physical Requirements

Prolonged periods of sitting at a desk and working on a computer.