Manager, Marketing Mix Modeling (MMM)

About the Role:

• The Manager, MMM+ Subject Matter Expert (SME) plays a critical role in advancing Ovative’s Media MixModeling (MMM+) capabilitiesby ensuring our models are not only technically rigorous, but strategically actionable.

• This role sits at the intersection of econometric modeling and marketing intelligence. It requires a leader who can apply structured analytical thinking to complex business questions, translate marketing strategy into modeling frameworks, and ensure model outputs meaningfully inform investment decisions in close partnership with Data Scientists responsible for model development.

• As part of the MMM+ SME team, you will provide strategic oversight of MMM builds, refits, and test integrations(ETIs).This role owns the quality, interpretation, and business application of MMM outputs — pressure-testing assumptions, validating results against real-world context, and identifying opportunities to strengthen model fidelity and impact.

• You will serve as a critical bridge betweentheMeasurement Solutions (MS), Product, Data Science, and client teams — aligning on objectives, clarifying trade-offs, and guiding stakeholders toward confident, data-informed decisions.

• This is not a purely execution-focused modeling role. It is a high-ownership position for a strategic thinker who thrives in ambiguity, influences cross-functional priorities, and is motivated by improving both technical excellence and marketing impact at scale.

Responsibilitiesof a Manager, Marketing Mix Modeling (MMM):

• Translate Business Strategy into Modeling Design

• Partner with Measurement Solutions (MS) teams to convert marketingobjectives, KPIs, and channel strategies into robustmodeling inputs— defining assumptions, priors, calibration approaches, and measurement design that align with real-world investment decisions.

• Own Strategic Oversight of MMM Delivery

• Provide direction and quality governance across MMM implementations, refits, and calibrations.

• Own MMM delivery timelines and sequencing — proactively coordinating across Data Science, Data Engineering, Product, and Measurement Solutions to ensure models are delivered on time and aligned to client needs.

• Ensure modeling approaches are sound, scalable, and aligned to business context while guiding the Sr. Analyst on technical execution andmaintainingaccountability for final outputs.

• Elevate MMM Standards & Best Practices

• Advance modeling governance, documentation standards, QA processes, and cross-client consistency. Contribute to building a scalable center of excellence for MMM across the organization.

• Ensure Model Quality, Integrity & Credibility

• Establish and uphold QA standards and evaluate key model diagnostics (e.g., MAPE, R², priors, lag structures, diminishing returns) to assess model reliability and business readiness.

• Collaborate with Data Scientists to investigate structural risks, performance gaps, or edge cases — facilitating refinement decisions and clearly communicating implications and trade-offs back to stakeholders.

• Proactively strengthen stakeholder trust in MMM outputs by ensuring assumptions, limitations, and investment implications are transparent, well-documented, and aligned to marketing strategy.

• DriveIncrementality TestingIntegration & Calibration Strategy

• Lead the integration of testing insights into MMM frameworks. Evaluate when and how to calibrate models based onincrementality testingresults, ensuring test learnings are appropriately reflected in model outputs and business recommendations.

• Bridge Technical Outputs to Business Decisions

• Translate complex modeling results into clear, actionable guidance. Pressure-test outputs against marketing realities and investment trade-offs to ensure insights are decision-ready and aligned to client strategy.

• Partner Cross-FunctionallyandEffectivelyCommunicateto Advance Capabilities

• Collaborate with Product, Engineering, Data Science, and MS leaders to clarify ownership, influence prioritization, and improve MMM tooling, processes, and scalability.

• structured critical thinking to complex marketing investment decisions.

• Guide prioritization decisionsand trade-offs across media channels and strategies while drivingwork forward in ambiguous environments.

• Translatetechnical outputs into executive-ready insightswith clear and confident communication.

• Manage multiple workstreams with ownership,accountability, and strong organizational skills.

Requirements:

• 4+years of experience in marketing analytics, marketing science, econometrics, or a related analytical field

• 1–2+ years of hands-on Media Mix Modelingandmethodology(MMM) experience(regression-based, Bayesian, or comparable econometric frameworks)

• Working knowledge of SQL and analytical tools sufficient to interrogate model inputs and outputs

• Ability to interpret and evaluate key model diagnostics (e.g., MAPE, R², priors, lag structures, diminishing returns)

• Comfort working with structured marketing datasets (e.g., spend, performance, CRM, and test data)

• Experience working cross-functionally with marketing, product, or client-facing teams