Key Responsibilities
·      Lead the design and implementation of ESG data, reporting, and analytics solutions across the organization.
·      Define technical architecture, data models, and integration frameworks for ESG data platforms.
·      Collaborate with business stakeholders, sustainability teams, and technology teams to translate ESG reporting requirements into scalable technical solutions.
·      Provide technical leadership to data engineering, analytics, and data science teams throughout the solution lifecycle.
·      Drive the development of ESG dashboards, KPIs, scorecards, and performance monitoring frameworks.
·      Oversee the ingestion, transformation, validation, and management of ESG datasets, including carbon emissions, sustainability metrics, and regulatory reporting data.
·      Establish and enforce ESG data governance, data quality, metadata management, and reporting standards.
·      Ensure ESG solutions align with global reporting frameworks and regulatory requirements, including GRI, SASB, TCFD, ISSB, and other emerging standards.
·      Review technical designs, code, and implementation approaches to ensure scalability, reliability, and maintainability.
·      Lead system integration efforts across internal and external ESG data sources and reporting platforms.
·      Support advanced analytics initiatives, including predictive modeling, sustainability insights, and ESG risk analysis.
·      Manage technical delivery, project planning, risk management, testing, and production deployments.
·      Mentor technical team members and promote best practices in data engineering, analytics, and ESG technology solutions.
·      Act as the primary technical advisor for ESG-related initiatives and stakeholder engagements.
Required Skills and Experience
·      Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Sustainability, Finance, or a related discipline.
·      5+ years of experience in data, analytics, or technology delivery roles, with at least 2 years in a technical leadership capacity.
·      Strong understanding of ESG concepts, sustainability reporting frameworks, and regulatory requirements.
·      Proven experience designing and delivering enterprise-scale data and analytics solutions.
·      Strong expertise in data architecture, data modeling, ETL/ELT processes, and data governance frameworks.
·      Hands-on experience with data visualization and analytics platforms such as Power BI or Tableau.
·      Proficiency in SQL and working knowledge of Python or R for data analysis and automation.
·      Familiarity with cloud-based data platforms and modern data engineering technologies.
·      Experience leading cross-functional teams within Agile delivery environments.
·      Strong knowledge of data quality, master data management, and reporting controls.
·      Excellent stakeholder management, communication, and leadership skills.
·      Ability to bridge business objectives with technical implementation and drive successful project outcomes.
Preferred Qualifications
·      Experience within financial services, banking, consulting, or sustainability-focused organizations.
·      Exposure to ESG data providers, sustainability reporting platforms, or regulatory reporting systems.
·      Knowledge of machine learning, predictive analytics, or advanced statistical modeling techniques.
·      Relevant certifications in ESG, sustainability reporting, cloud technologies, or data management are advantageous.