Director, Climate Analytics and Solution Enablement

Oversee a portfolio of analytics projects for strategic products, executive scorecards, sustainability disclosures, and regulatory filings.,Lead the development, validation, enhancement, and implementation of traditional and advanced models (e.g., LLMs, neural networks) for climate and strategic priorities, adhering to enterprise risk management policies.,Translate complex business and regulatory requirements into robust analytics solutions.,Integrate models as core elements of analytics products across the enterprise.,Collaborate with cross-functional teams to ensure alignment and execution.,Communicate clearly and persuasively with stakeholders through presentations and executive briefings.,Manage and coach a high-performing team of quantitative professionals.,Stay informed on external best practices, modeling methodologies, and sustainability data trends, interfacing with external stakeholders.,Experience leading advanced analytics/modeling initiatives in fast-paced, high-visibility environments.,Demonstrated ability to embed models into business-facing tools or digital products to drive real-world outcomes.,Proficiency in Python, SQL, and contemporary data science and analytics technologies.,Excellent communication skills to simplify complexity for executive and non-technical audiences.,Proven leadership of cross-functional projects or teams with multiple stakeholders.

Master's or PhD in a quantitative, technical, or interdisciplinary discipline (e.g., Statistics, Financial Engineering, Applied Mathematics, Climate Science, Computer Science) (Nice-to-Have),Experience in consulting or enterprise strategy roles, especially within data, sustainability, or finance domains (Nice-to-Have),Familiarity with climate and sustainability metrics (e.g., financed emissions, scenario modeling, transition alignment) and foundational methodologies (e.g., PCAF, GHG Protocol) (Nice-to-Have),Familiarity with scenario modelling (e.g., IEA NZE, IPCC RCP/SSP, NGFS) (Nice-to-Have),Experience developing or governing analytics solutions in enterprise technology or cloud environments (Nice-to-Have)

Not Specified, Master's or PhD in a quantitative, technical, or interdisciplinary discipline is a Nice-to-Have