Sustainability Consultant

Responsibilities :

Engage with clients to scope sustainability solutions, identify relevant offerings, and develop proposals aligned with business objectives.

Develop delivery plans, define team structures, and manage end-to-end program execution for client engagements.

Identify sustainability value propositions tailored to industry-specific requirements and customer needs.

Conduct industry research to analyze problem statements, evaluate solution options, and recommend optimal approaches.

Create detailed requirements, user scenarios, and process artifacts to support implementation in collaboration with technical teams.

Articulate business value using sustainability KPIs and conduct solution demos, POCs, and workshops.

Prepare effort estimates aligned with client budgets and organizational financial guidelines.

Lead and mentor consulting teams with subject matter expertise in sustainability, ESG reporting, and data management.

Additional Responsibilities:

Good understanding of concepts such as product carbon footprint, circular economy, life cycle assessment (LCA), sustainable manufacturing, and sustainable finance.

Awareness of sustainability implications across upstream and downstream value chains, including sustainable supply chain practices.

Part of a rapidly growing unit focusing on data analytics, decarbonization, compliance, and advanced technology-driven sustainability solutions.

Technical and Professional Requirements:

Strong understanding of sustainability concepts such as ESG reporting, sustainability data analysis, and sustainable supply chains.

Awareness of ESG frameworks and regulations including CSRD, BRSR, GRI, and TCFD.

Understanding of industry trends, platforms, and tools in the sustainability domain.

Ability to assess current processes, identify improvement areas, and recommend technology-driven solutions.

Strong analytical, logical thinking, and problem-solving skills with a collaborative mindset.

Knowledge of data analytics and visualization tools such as Tableau or Power BI.

Familiarity with programming languages such as Python.

Comfort with data handling, visualization platforms, and adoption of AI technologies for delivery.