Own and evolve the end-to-end measurement framework, ensuring alignment with the client’s growth transformation and category-driven investment model.
Lead the integration of MMM, incrementality testing, platform data, retail signals, and commerce analytics into a unified performance narrative.
Establish clear methodologies to develop and execute for baseline setting, incremental measurement, and business impact modeling across channels and categories.
Ensure all investment decisions are grounded in measurable contribution to sales, profit, and long-term brand growth.
Lead the business planning processes, connecting media and commerce investment to revenue forecasts, category goals, and financial targets.
Build and maintain dynamic forecasting models and scenario planning frameworks to guide allocation decisions at defined cadences (daily, weekly, monthly, bi-annual).
Translate analytics into clear investment guidance, identifying reallocation opportunities across channels (including retail media and Amazon) when measurement signals warrant change.
Ensure media contribution and ROI are clearly understood and embedded into broader business planning.
Operationalize category-level measurement frameworks that enable smarter allocation across product lines and growth priorities.
Ensure alignment between media investment and retail/commercial realities, including competitive activity, promotional impact, and trade dynamics.
Partner closely with Commerce and Retail Media teams to ensure Amazon and retail investment strategies are integrated within the broader measurement model.
Design and implement a structured review cadence (daily, weekly, monthly, quarterly, bi annual) that aligns with the Media Playbook and transformation roadmap.
Lead integrated business reviews, ensuring insights drive clear decisions—not just reporting.
Create transparency across baseline assumptions, optimization decisions, and incremental impact assessments.
Champion the use of Brandtech and partner technologies to improve modeling accuracy, workflow efficiency, and predictive capabilities.
Embed advanced analytics tools and GenAI capabilities into reporting, forecasting, and scenario modeling processes.
Ensure teams are trained and confident in the application of tools, methodologies, and frameworks.
Build and lead a high-performing analytics and business planning team aligned to future-state needs.
Establish clear standards for rigor, documentation, modeling consistency, and insight quality.
Mentor senior analytics and data science leaders, strengthening their ability to connect data to strategic business decisions.
Serve as a visible transformation leader across the Integrated Agency Team (IAT), ensuring alignment between Strategy, Investment, Commerce, and Creative.
Foster a culture of accountability, transparency, and proactive problem-solving.
Requirements
15+ years of experience in advanced analytics, marketing science, business planning, or performance strategy within a global agency or complex client organization.
Deep expertise in MMM, incrementality testing, cross-channel attribution, and retail/commerce analytics.
Proven experience integrating analytics into financial planning and investment decision-making processes.
Strong understanding of category-level planning, retail media ecosystems, and commerce optimization (including Amazon).
Demonstrated ability to lead large-scale measurement transformation initiatives.
Advanced analytical fluency with the ability to translate complex models into clear, executive-level guidance.
Exceptional leadership skills with experience building and developing senior analytics teams.
Comfort operating in matrixed, integrated agency environments with multiple senior stakeholders.
Benefits
You'll be eligible to join our discretionary annual bonus scheme and 401k retirement plan.
Have peace of mind with our healthcare, vision and dental insurance, plus short and long-term disability and life cover.
Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours.
Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn.
Enjoy 14 weeks of paid leave for primary caregivers and 4 weeks of paid leave for secondary caregivers.