Technical Lead, Sustainability

Essential Functions

• Work directly in client data lakes and systems environments using AI tools (Claude, etc.), Python, and SQL to build sustainability data infrastructure, automation, and analytics
• Design and build data intake forms, data models, and ETL processes that enable accurate sustainability measurement and assurance processes
• Combine qualitative subject matter expertise with your technical skillset to determine what to build and how
• Conduct data discovery, analysis, and quality assessment to identify gaps, inconsistencies, and optimization opportunities in client sustainability data systems
• Build sustainability assurance analytics and automation—including variance analysis, emissions calculations, data reconciliation, spend-to-emissions mapping, and anomaly detection
• Evaluate client systems for data integration, automation, and optimization; recommend technical improvements to enhance sustainability data reliability and controls
• Develop sustainability-specific testing procedures and controls documentation that translate sustainability reporting requirements into technical implementations
• Act as a technical expert for non-technical client teams, explaining data architecture, system integration, and data governance concepts in accessible terms
• Execute assigned testing procedures, perform detailed analysis of sustainability data and systems, and document findings per professional audit standards
• Establish high-quality relationships and rapport with client personnel—both technical and non-technical stakeholders
• Complete assigned duties in a timely manner with strong attention to detail and audit integrity
• Develop an expert knowledge of sustainability reporting frameworks (SASB, IIRC, TCFD, GRI) and professional standards relevant to sustainability assurance
• Contribute to Schellman's thought leadership through articles, webinars, and public speaking on sustainability data, technology, and assurance practices
• Adhere to professional and regulatory standards relevant to sustainability assurance and audit practices
• Promote Schellman's company culture and exemplify Schellman's values
• Comply with Schellman's code of ethics and professional conduct, methodologies, policies, and procedures
• Train and acclimate project team members to Schellman's methodologies and best practices

Knowledge, Skills, And Abilities

• Strong proficiency in Python, SQL, or similar languages for data manipulation and automation; ability to write, implement, and debug code independently
• Experience with data engineering, ETL processes, data modeling, and working in cloud-based data environments (data lakes, data warehouses)
• Deep knowledge of sustainability reporting frameworks (SASB, IIRC, TCFD, GRI) and how they translate to technical data and system requirements
• Expertise in business intelligence, analytics, and data visualization; ability to use tools and code to identify patterns and anomalies in large datasets
• Ability to understand complex data systems, evaluate data quality, and recommend technical solutions to sustainability measurement challenges
• Excellent written and verbal communication skills with the ability to explain technical concepts to non-technical audiences
• Superior time management, self-motivation, and proactivity with the ability to manage multiple technical projects and priorities
• Strong problem-solving, analytical, and debugging capabilities with meticulous attention to data accuracy and detail
• Familiarity with AI-assisted development tools and comfort learning new technical platforms and languages quickly

Required Education, Work Experience and Certifications

• Bachelor's degree in Accounting, Finance, Computer Science, Data Science, or related field
• 3-5+ years of professional services experience in controls auditing, assessment, or compliance with a focus on non-financial reporting and sustainability
• Demonstrated proficiency in at least one programming or scripting language (Python, SQL, etc.)
• Solid understanding of data engineering concepts, including data modeling, ETL processes, and data quality assessment
• Experience evaluating information technology systems, data processes, and controls
• Knowledge of sustainability reporting frameworks (SASB, IIRC, TCFD, GRI) and how they translate to technical and system requirements

Preferred

• Licensed CPA with demonstrated technical and data engineering skills
• Experience with cloud data platforms (AWS, Google Cloud, Azure, Snowflake, etc.)
• Experience with business intelligence or analytics tools (Tableau, Power BI, Looker, etc.)
• Background in sustainability accounting, carbon accounting, or environmental data measurement
• Familiarity with AI-assisted code development tools and LLM-based development
• Experience with data visualization and creating technical documentation for non-technical audiences
• Experience managing or mentoring technical team members