MMM Manager

BrandDelta empowers 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 the Brand Intelligence AI. BrandDelta has ambitious plans for growth, with Porto marked as the centre for advanced AI-led software, supported by a growing team, offering great career prospects to individuals. Founders have a history building globally awarded AI businesses and investing heavily into team and individual development.

We are seeking a highly experienced Market 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 7–15 years of MMM experience 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.

• Build advanced MMM and econometric models using our on‑prem 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 BrandDelta’s Optimiser.

• Help analyse, prepare and QA the 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.

• 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).

• 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.
• Provide guidance and technical mentorship to analysts and junior econometricians.
• Help develop internal modelling playbooks, templates, and best practices.

• 7–15 years 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).
• Strong knowledge of saturation response functions, diagnostics and model validation techniques, practical understanding of media measurement, marketing planning, and commercial performance KPIs (Inc. Revenue, elasticity, contribution).
• Experience working with very large datasets (>10M rows, multi‑year, multi‑touchpoint).

• 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.

• 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.

• Career Acceleration - Fast growth with many opportunities both in the AI‑led software and business domains, with board‑level clients.
• Flexible Work Hours - Adjust your schedule to your needs.
• Hardware and software for remote setup.
• Weekly & Monthly All‑Hands.
• Autonomy and Ownership Culture.
• Continuous feedback culture.
• Competitive salary commensurate with what you're worth, as a high performer.
• Commitment to closing the gender pay gap, promoting diversity and inclusivity.
• Ongoing training and growth opportunities.