Sustainability Data Manager
| Company | Barclays |
|---|---|
| Location | Parsippany-Troy Hills, NJ, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- Deep expertise in implementing AI/GenAI solutions, including experience with AI agents and large language models (LLMs) for sustainability use cases
- Proven history in geospatial data analysis using ArcGIS or similar platforms, with the ability to create environmental impact visualizations and location-based sustainability insights
- Considerable background in GenAI lifecycle management, particularly in evaluation frameworks, prompt engineering, and responsible AI governance
- Experience in hybridizing traditional ML algorithms with GenAI capabilities for enhanced code generation and automated sustainability reporting
- Demonstrated ability to translate complex environmental data into actionable insights using both classical statistical methods and modern AI approaches
Responsibilities
- Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives
- Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget
- Mentor and support team members’ professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement
- Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity
- Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development
- Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions
Preferred Qualifications
- Considerable stakeholder management capabilities, with proven credentials of engaging senior executives and cross-functional teams to drive sustainability capability and secure buy-in for data-driven environmental programs
- Full-stack development proficiency using Python and JavaScript, with active participation experience in building interactive dashboards using tools such as Streamlit or Gradio, and data manipulation with Pandas for environmental reporting
- AWS cloud architecture expertise, including experience with sustainability-focused services like net zero operations. Well versed in serverless architectures for scalable environmental data processing