Job Description:

The scope of work is flexible, but will likely fall into the following main categories. Solution design, development, deployment, and delivery

- Use product thinking to shape digital and AI-enabled sustainability solutions - translating customer or user needs into actionable features and priorities

- Contribute to digital and AI scaling efforts by identifying opportunities to embed automation, analytics, and emerging technologies that enhance delivery and impact

- Provide hands-on support for clients and case teams, for example in leveraging technology solutions

- Assess and recommend AI and digital tools, guiding build vs. buy decisions and leading third-party vendor assessments for sustainability-related technologies

- Support development and piloting of AI-driven sustainability solutions by forging strategic partnerships with technology providers and/or building and testing proof-of-concept models in collaboration with engineering teams

- Identify issues, create hypotheses, and execute analysis; translate data into meaningful insights; present recommendations to key decision-makers

Practice strategy, planning, and reporting

- Contribute to a culture of innovation by surfacing new ideas, sharing learnings from pilots, and championing the use of emerging technologies within the practice

- Monitor developments in AI and emerging technologies and help translate these into practical insights, tools, or trainings to upskill colleagues across the practice

- Manage and prioritize a product management backlog of Sustainability related IP items

- Provide direct proposal support

- Codify best practices

- Contribute to additional projects and perform select ad hoc analytics

Practice communications and teaming

- Work effectively cross-practice and cross-functionally; proactively share and solicit information across practice, focusing on the key implications

- Serve as a bridge between sustainability and digital transformation teams, ensuring AI-driven solutions align with both business and sustainability impact goals

- Support impact tracking and feedback loops for piloted tools and IP to inform iteration and broader scaling

- Train and informally coach junior team members, as appropriate

Education:

- Required: Bachelor of Arts or equivalent undergraduate degree with strong academic credentials

- MBA is a plus

Experience:

- Demonstrated experience engaging with technical topics and tools (e.g., Python, OpenAI APIs, Azure)

- Familiarity with machine learning workflows and tools (e.g., model training, evaluation, or deployment), with the ability to collaborate effectively with data scientists/ML engineers

- Experience working in fast-evolving, ambiguous environments - such as internal innovation teams or digital incubators

- Demonstrated problem solving and organizational skills, and a proven self-starter

- Ability to structure and lead complex business research and analysis in fast-paced environment, as well as the skills to drive to pragmatic business insights

- Experience and proficiency in creating high quality presentations and executive-level communications