Senior Sustainability and Health & Safety Specialist

CapgeminiChicago, ND
$125,000 - $190,000Remote

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.

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

  • 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 (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
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service