Sustainability Data and AI Consultant

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Location Chicago, IL - United States Your Role 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. Required Skills & Experience 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. The base compensation range for this role in the posted location is $125,000- $190,000 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Benefits Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 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 (or provincial healthcare coordination in Canada) 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 Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. #J-18808-Ljbffr Capgemini