Head of Modelling - Global MR

Key Responsibilities

- Quality Management: Design and implement quality management processes and systems specifically for the modelling stage of our MM solution delivery.

- Governance: Take ownership of the governance for all modelling stages. This includes ensuring frameworks are adhered to, measuring and assuring quality, expediting decision-making, and maintaining thorough documentation.

- Training: You will need to be deeply embedded with Product, AI and CS teams ensuring knowledge acquisition and transfer from Product and AI to CoE.

- Enablement: Work closely with Client Servicing, Consulting, Product, AI, and CoE teams to enable CS to understand the modelling outputs and effectively use the product. (Answer questions related to validity and quality of a model).

- Influence innovation in methodology, product and process.

- Problem Solving: Address ambiguous situations or bottlenecks by leveraging your expertise or by building consensus on the best approach. Strive to maintain the right balance between mathematical rigour and business requirements.

- Talent Development: Coach, hire, and develop modelling talent within the Centre of Excellence. This includes owning knowledge creation, training team members on modelling solutions, and cascading learning across a growing team and evolving solutions.

- Learning and Development: Develop an understanding of various modelling approaches and create supporting materials for CoE. Design and execute training and assessment programmes for CoE. Continuously update the programs with new learnings.

- Hands on support on critical projects: While 80% of work you solve by design and governance, you are also expected to dedicate 20% of your time supporting critical/high risk projects hands on.

Desired Skills, Experience and Behaviours:

- Minimum of 15 years in Marketing Mix Modelling (MMM) with good understanding of Bayesian Modelling, with at least 5 years in a leadership role.

- Proven experience managing complex, multi-stakeholder projects and leading globally diversified teams through influence.

- Hands-on expertise in executing market mix modelling projects and delivering outcomes to clients including ability deep understanding of different industries.

- Deep knowledge of market mix modelling data and interpreting model outputs, with a strong understanding of time series and Bayesian methods.

- Experience in model governance, quality assurance, and developing reproducible workflows.

- Ability to translate complex models into clear business narratives.

- Experience in conducting training sessions and workshops.

- Willingness to travel regularly to various markets on short notice.

- Working across business units and leading with influence.

- Bonus: Proficiency in R, Python, and SQL.

- MBA is mandatory