Sr. Sustainable Operations Analyst, AI Enablement

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

What this role is:

You’ll be a trusted analytical partner on the global Sustainability Team, helping the organization scale its sustainability strategy through advanced analytics, AI-enabled insights, and automation. You will support the Chief Sustainability Officer and broader team by transforming complex sustainability data, disclosures, and requests into clear, decision-ready intelligence.

Your work will help keep sustainability initiatives on track, proactive, and defensible, enabling the team to anticipate risks, respond efficiently to customer and regulatory requests, and focus leadership time on the highest-impact decisions.

What this role isn’t:

This role isn’t about basic administrative support or manual data gathering. It is a high-impact analytical role requiring strong judgment, discretion, and technical curiosity. You won’t just track requests—you’ll design smarter ways to manage them, using automation, AI tools, and structured workflows to reduce friction and improve outcomes.

What you’ll bring to the table:

To succeed in this role, you bring a combination of sustainability domain knowledge, analytical rigor, and emerging AI skills. You’re comfortable working with ambiguity, thrive in fast-moving environments, and know how to translate data into insights for senior leaders and internal customers.

You are a strong written and verbal communicator with a customer-service mindset, able to support high-stakes sustainability topics such as ESG disclosures, customer RFPs, and charitable initiatives with professionalism and clarity.

Some details about what you will do:

Sustainability analytics & AI enablement

• Build and maintain AI-enabled workflows to support sustainability data collection, analysis, and reporting (e.g., ESG metrics, emissions data, customer sustainability requests).
• Use NLP-based and AI-enabled document analysis tools to extract insights from sustainability reports, customer RFPs, regulations, and internal documentation.
• Develop dashboards and analytical views that track project status, risks, and sustainability KPIs for leadership.
• Apply data validation and anomaly detection techniques to improve data quality, consistency, and audit readiness.

Stakeholder & customer support

• Support customer requests for sustainability information in RFPs and questionnaires, ensuring accuracy, consistency, and speed.
• Manage and analyze internal requests related to charitable offers and sustainability programs, identifying opportunities for process automation.
• Partner with internal teams (Legal, Finance, HR, Procurement, IT) to align sustainability data, disclosures, and workflows.

Process & project management

• Track sustainability initiatives, issues, and dependencies through to resolution, escalating risks early and proposing data-driven solutions.
• Support onboarding, offsites, and team-wide initiatives with a focus on process efficiency and knowledge management.
• Assist with ad-hoc analytical and strategic projects in support of the Office of the Chief Sustainability Officer.

AI-enabled operations

• Identify opportunities to reduce manual effort by leveraging automation, analytics, and generative AI (e.g., drafting responses, summarizing data, answering internal sustainability queries).
• Help define governance and best practices for responsible AI use w