KITE are delighted to be recruiting for the following MMM Manager role on behalf of our independent global analytics client in the UK. Please get in touch for further details…
COMPANY DESCRIPTION
We empower companies around the world to transform the way their brands can learn and win. Our Brand Intelligence platform is built to enable our clients to understand how consumers perceive their brands faster, deeper and in a more actionable manner with measurable links.
We are helping our clients to transition from slow-moving, expensive and unactionable survey-based solutions into the 21st century with our Brand Intelligence AI.
We have ambitious plans for growth, with Porto marked as the centre for advanced AI-led software, supported by a growing team, including offices in London, offering great career prospects to individuals. Our founders have a history of building globally awarded AI businesses (e.g. achieving a top-10 Gartner rating for AI-led insight) and investing heavily into individual and team development.
ROLE DESCRIPTION
We are seeking a highly experienced Marketing Mix Modelling / Econometrics Manager to lead the build and delivery of econometric models for our global clients. This is a hands-on role for someone with plenty of MMM experience (ideally with Python knowledge), who enjoys both rigorous modelling and real-world commercial impact. You will oversee end-to-end model development, collaborate closely with Data/AI & Optimization product teams, and ensure high-quality delivery across multiple markets.
KEY RESPONSIBILITIES
Modelling & Analytical Delivery
- Build advanced MMM and econometric models using our proprietary modelling software which utilises techniques such as Bayesian regression, advanced ML, hierarchical models, & state-space models, along with standard concepts such as carryover/adstock structures, saturation curves, price elasticity and promo impact analysis
- Own the full modelling workflow: data preparation, feature engineering, model selection, diagnostics, validation and documentation
- Design and apply robust QA processes (e.g. cross-validation, holdouts, out-of-sample testing)
- Develop and refine media response curves and incremental ROI frameworks used in our Optimiser
Data Preparation & QA
- Help analyse, prepare and QA MMM datasets (media, sales, distribution, equity, pricing, competitor and macro)
- Help build reproducible data pipelines (in collaboration with engineers and scientists) using best practices for scaling across markets
Insight & Client Engagement
- Translate technical results into clear, commercially relevant insights
- Partner with client teams (Marketing, Digital, RGM, Commercial Finance) to guide spend planning and scenario development
- Support the creation of client deliverables (presentations, reports, live tool walkthroughs)
Collaboration With Product & Engineering
- Work with product managers, data scientists and optimisation engineers to integrate MMM outputs into our real-time Optimiser and LiveEquity platform
- Help shape modelling standards and frameworks for multi-market scalability
- Participate in innovation initiatives – e.g. automation of MMM pipelines, integration of new data sources, or enhancements to uplift functions
Leadership & Mentorship
- Provide guidance and technical mentorship to analysts and junior econometricians
- Help develop internal modelling playbooks, templates and best practices
REQUIREMENTS
- Essential Experience
- Plenty of hands-on MMM / econometrics experience, ideally in a consultancy, media agency, or analytics-led organisation
- Proven expertise in building MMM models with proficiency in various modelling techniques (regression, Bayesian, ML etc)
- Knowledge of Python
- Strong knowledge of:
- Adstock / carryover modelling
- Saturation response functions
- Price & promotion elasticity
- Base drivers modelling (distribution, equity, seasonality, macro factors)
- Diagnostics and model validation techniques
- Practical understanding of media measurement, marketing planning, and commercial performance KPIs (incl Revenue, elasticity, contribution)
- Experience working with very large datasets (>10M rows, multi-year, multi-touchpoint)
- Professional Skills
- Ability to explain complex econometric concepts in simple, business-friendly language
- Strong communication and presentation skills for both technical and commercial audiences
- Highly organised, detail-oriented, and comfortable managing multiple markets and clients simultaneously
- A builder mindset – comfortable with ambiguity, innovation, and developing new capabilities from the ground up
- Nice To Have
- Familiarity with consumer goods categories, retail environments, or regulated industries
- Prior experience managing or mentoring modelling teams
- Experience integrating MMM outputs into optimisation or simulation tools
- Exposure to ML MMM frameworks and automated model pipelines
- Ability to write production-grade code, including documentation, reproducibility and testing
- Azure Databricks, Azure AI/Data certifications
WHAT WE OFFER
- Career acceleration – fast growth with many opportunities both in the AI-led software and business domains, with board-level clients
- Benefits policy – tailored to individuals
- Flexible work hours / location – adjust your schedule to your needs, 1 day per week in our London offices with the rest of the time remote
- Hardware and software for remote setup
- Weekly & monthly alignment meetings across the global team
- Autonomy and ownership culture
- Continuous feedback culture
BENEFITS
- We will pay you a competitive salary commensurate with what you’re worth, as a high performer. We are fully committed to closing the gender pay gap, promoting diversity and inclusivity, and paying people what they deserve to be paid.
- Enjoy the benefits of a flexible work schedule as part of a global team
- Experience ongoing training and growth opportunities. We will support you with your career endeavours. We are committed to internal progression and offering our team members the best opportunities for growth. We want to invest in you the same way you are going to invest in us!
