Sr. Manager, Marketing Mix Modeling; MMM

About Ovative Group

Ovative Group is an independent, full‑funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and United Health Group transform their media and measurement programs. At Ovative, we don't just track data, we redefine success. Our proprietary Mar Tech platform, EMRge, helps businesses transform marketing into a driver of sustainable growth.

Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying, planning, and measurement makes EMRge the first Mar Tech platform to measure businesses holistically. We are recognized by organizations such as Digiday, Google, Inc. 5000, USA Today, and Search Engine Land.

The GTM team at Ovative is the measurement bridge – the application layer between modeling and client impact. We span the entire MMM lifecycle: from data and EDA through model build, QA, results delivery, and optimizations. We partner closely with Data Science, our client‑facing analytics team, and the Product team, serving as the connective tissue that turns modeling capability into client decisions and best‑in‑class tooling.

MMM Delivery Quality & Standards – Own delivery quality and consistency across MMM implementations, refits, and testing integrations. Establish and maintain MMM standards, including prior frameworks, QA criteria, spec design, expectation documentation, and diagnostic interpretation. Pressure‑test model outputs against real‑world marketing context before they reach clients. Lead the integration of incrementality testing and experiment learnings into MMM frameworks. Partner closely with Data Science on model design and interpretation – the bridge between technical execution and delivery.

Client Delivery & Activation – Translate complex MMM outputs into clear, actionable guidance that drives real investment decisions. Lead client‑facing conversations on results, model confidence, and investment implications with authority and clarity. Ensure clients understand what the model shows, what it doesn’t, and how to act on it confidently. Reduce time to insight. Coach the client‑facing analytics team on delivering MMM results.

Raise the bar on delivery quality across every engagement. AI Tools, Process Builds & Product Partnership – Actively build AI‑powered tools, automations, and process improvements to reduce manual work and scale delivery across the GTM team. Own a tooling agenda: identify what needs to be built, sequence it, and drive it from POC through full release. Partner with Product to surface delivery‑side needs, influence the roadmap, and co‑create best‑in‑class MMM solutions tribute to shared GTM tools including priors automation, model confidence tooling, break‑fix diagnostics, and results delivery standardization.

Use Claude, Posit, and approved AI environments to build and ship solutions. Cross‑Functional Partnership – Serve as the primary bridge between Data Science, the client‑facing analytics team, and the GTM team. Align on objectives, clear blockers, and drive delivery forward. Partner with client delivery and PM on workflows and handoff processes. Contribute to quarterly GTM prioritization planning.

• 6+ years in marketing analytics, marketing science, or a related measurement field.
• 3+ years working directly with MMM – strong enough to evaluate model quality, interpret diagnostics, and hold teams accountable to standards.
• Strong working knowledge of MMM methodology: priors, lag structures, diminishing returns, calibration, QA.
• Track record of leading client‑facing delivery and navigating complex or sensitive conversations confidently.
• Experience building or codifying processes, standards, playbooks, or QA frameworks.
• Clear, confident communicator – translates technical outputs into business decisions for non‑technical audiences.

• Experience building AI‑powered tools, automations, or analytical workflows.
• Familiarity with incrementality testing and its integration into MMM.
• Hands‑on experience with…