Sustainability Data and AI Consultant

Capgemini • Chicago, IL

12d • Onsite

About The Position

To support our ambition of becoming a leading sustainability consulting and capability provider, we are seeking a Sustainability Data and AI Consultant/Engineer for the North American market. This role will focus on designing and delivering AI-driven sustainability solutions, enabling organizations to accelerate their ESG, Net-Zero, and climate business outcomes initiatives through data, governance, analytics, and advanced AI techniques. You will work closely with global leadership, sustainability experts, and Data & AI teams to build scalable, industry-specific Data and AI solutions for sustainability business cases. Support pre-sales, RFP responses, and PoC development for sustainability Data and AI offerings. Design and build Data and AI solutions for sustainability business cases such as ESG reporting, carbon accounting, supply chain optimization and resilience, resource optimization, product life cycle automation, data-driven solutions for Net-Zero, Environmental Profit & Loss, climate analytics and climate risk modeling. Develop AI-enabled frameworks and apply AI techniques (Agentics, RPA, Predictive analytics, GenAI, NLP) to automate ESG governance and compliance, reporting, regulatory alignment and sustainability insight across the value chain of enterprise. Design and maintain data pipelines, ESG data models, and sustainability data platforms. Integrate internal and external sustainability datasets (carbon emissions, regulatory data, ESG disclosures, ESG risks scoring) and implement leading ESG solutions from the market Work with cloud platforms (Azure, AWS, GCP) and tools like Databricks, Snowflake, Python, SQL for scalable AI solutions. Collaborate with consulting teams to translate sustainability challenges into AI-driven business outcomes solutions. Participate in client workshops, discovery sessions, and solution design discussions. Stay updated on emerging ESG regulations, AI trends, and sustainability technologies. Contribute to accelerators, frameworks, and reusable assets for sustainability solutions.

Requirements

• 5–6 years of experience in Data, AI/ML, Engineering, Governance or Analytics roles.
• 1–2 years of exposure to Business Sustainability / ESG / Climate / CSR initiatives.
• Experience in consulting or client-facing roles preferred.
• Strong proficiency in selling solutions
• Customer centric, relation builder, entrepreneur, problem solving skills
• Experience in Machine Learning / AI (predictive models, NLP, GenAI preferred), AI/ML frameworks such as TensorFlow or PyTorch, AI workflow and Agentics platform like Claude, Gemini, Co-pilot
• Experience with data engineering concepts (ETL pipelines, data lakes, data governance, etc.).
• Experience with cloud platforms (Azure, AWS, or GCP).
• Experience with leading Sustainability solutions
• Understanding of ESG data models, sustainability metrics, and data governance.
• Working knowledge of ESG regulations, scoring agency, and frameworks (CSRD, ISSB, GRI, SASB, CDP).
• Understanding of carbon accounting, LCA, LCI and GHG Protocol.
• Experience in sustainability reporting and disclosures.

Responsibilities

• Design and deliver AI-driven sustainability solutions.
• Enable organizations to accelerate their ESG, Net-Zero, and climate business outcomes initiatives through data, governance, analytics, and advanced AI techniques.
• Build scalable, industry-specific Data and AI solutions for sustainability business cases.
• Support pre-sales, RFP responses, and PoC development for sustainability Data and AI offerings.
• Design and build Data and AI solutions for sustainability business cases such as ESG reporting, carbon accounting, supply chain optimization and resilience, resource optimization, product life cycle automation, data-driven solutions for Net-Zero, Environmental Profit & Loss, climate analytics and climate risk modeling.
• Develop AI-enabled frameworks and apply AI techniques (Agentics, RPA, Predictive analytics, GenAI, NLP) to automate ESG governance and compliance, reporting, regulatory alignment and sustainability insight across the value chain of enterprise.
• Design and maintain data pipelines, ESG data models, and sustainability data platforms.
• Integrate internal and external sustainability datasets (carbon emissions, regulatory data, ESG disclosures, ESG risks scoring) and implement leading ESG solutions from the market.
• Work with cloud platforms (Azure, AWS, GCP) and tools like Databricks, Snowflake, Python, SQL for scalable AI solutions.
• Collaborate with consulting teams to translate sustainability challenges into AI-driven business outcomes solutions.
• Participate in client workshops, discovery sessions, and solution design discussions.
• Stay updated on emerging ESG regulations, AI trends, and sustainability technologies.
• Contribute to accelerators, frameworks, and reusable assets for sustainability solutions.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed