Senior Manager – Scoring Automation in London

CDP have regional offices and local partners spanning 50 countries. There are now companies, cities, states and regions from over 90 countries disclosing through CDP on an annual basis.

About CDP

CDP is a global non-profit that runs the world’s only independent environmental disclosure system. As the founder of environmental reporting, we believe in transparency and the power of data to drive change. Partnering with leaders in enterprise, capital, policy and science, we surface the information needed to enable Earth-positive decisions. We helped more than 24,800 companies and almost 1,000 cities, states and regions disclose their environmental impacts in 2024. Financial institutions with more than a quarter of the world’s institutional assets use CDP data to help inform investment and lending decisions. Our team is truly global, united by our shared desire to build a world where people, planet and profit are balanced.

The Team

The Product owner team define the product roadmap, prioritization and requirements for their product or product portfolio. We work very closely with Data and Engineering to deliver the Products using an agile framework.

About this role

The Senior Manager – Scoring Automation will be responsible for leading our Scoring Automation team, strategy and capabilities. This role will be critical in researching and pioneering new tools and technologies that will continue to increase the reputation of CDP's scoring.

What you will do:

• Lead and manage the Scoring Automation team, overseeing all activities, defining the functional roadmap for scoring automation, upskilling the team and acting as the subject matter expert for coding solutions for complex methodologies.
• Act as a key internal stakeholder during development of CDP’s questionnaires and associated scoring methodologies, working with business stakeholders to drive changes in questionnaire and methodology that enable the most efficient and most ambitious scoring of response data possible.
• Carry out analysis of internal scoring tools and process efficiencies to determine functional priorities around future development, as well as aligning these to the development of our tech platform.
• Pioneer new data science led scoring techniques, tools and methodologies to enable more insights on scoring methodology performance and suggest suitable changes to directions for scoring.
• Work with Product and Innovation teams to integrate new scoring techniques, tools and methodologies into future technology platform roadmaps.
• Develop and continuously improve dashboards to support scoring operational activities, as well as conducting further investigation into which KPIs should drive future development and are best predictive of success.
• Develop and maintain statistical processes for quality assurance for both manual and automated scoring processes to provide insights into QA confidence and effort required to achieve objectives.
• Manage an effective and engaged team, clear on its purpose and contribution, by:

• Working with the Talent Attraction team to identify and recruit the right talent to the team.
• Providing focus and direction, through regular 1:1’s, setting clear objectives, providing ongoing, honest feedback, recognition, structured performance and development conversations, and helping with solutions.
• Ensuring a respectful and inclusive workplace, where team members can communicate openly, share knowledge so it can be used, and respect difference. Helps resolve conflict as appropriate.
• Living the CDP Values and demonstrating the behaviours appropriate to their position.

We’re looking for:

• Academic or professional background in data science / analysis.
• Previous exposure to environmental topics beneficial.
• Excellent technical data skills with Python, NumPy / Pandas, SQL, and exposure to data science libraries (Scikit-learn, Tensorflow, Keras, Matplotlib, Seaborn).
• Technical skills with javascript/typescript (React/Node) beneficial.
• Familiarity with object-oriented programming.
• Practical knowledge and experience with NLP, Generative AI and LLMs.
• Excellent data analysis skills in Excel (familiar working with large datasets, pivot tables and visualisation).
• Line management experience, including the ability to motivate, support and enable.
• Proven experience delivering multi-faceted projects to strict deadlines and budget.
• Excellent relationship building skills, including the ability to manage expectations and find solutions.

This is a hybrid role, candidates will need to live within a commutable distance of the local office and be comfortable with 2 days in the office per week.