Principal Marketing Manager, Media Investment Decisioning

What You’ll Bring Strategic, Analytically Grounded Communicator

• Ability to translate complex model output — MMM curves, channel mix tradeoffs, marginal ROI — into a clear, channel level direction and executive-ready narrative, both written and verbal
• Comfortable owning and driving a recurring analytics and finance forum, a channel reporting and guidance forum and a senior leadership forum. This includes setting the agenda, anticipating questions, and proposing / defending a strategic recommendation.
• Strong point of view, backed by data — someone who forms and influences a recommendation

• Proven ability to build durable, high-trust partnerships with Data Science and Finance — functions with different incentives and different definitions of 'right' — and align them to a shared investment view
• Skilled at managing up and across a matrixed organization without formal authority over the teams you depend on
• Able to represent Paid Media's interests in cross-functional forums and instilling confidence

• Deep working knowledge of an integrated media environment spanning search, programmatic/digital media, social, video, streaming, and above-the-line channels, and how investment shifts in one channel affect performance in another
• Experience managing a large media investment envelope: forecasting, in-season reallocation, marginal curve analysis, and defending spend decisions with data
• Understands how agency partners (search, digital media, ATL) operationalize a channel mix decision once it's made

• Excited by the opportunity to help design and build a system, in an evolving AI led evolving media enviorment
• Comfortable in ambiguity — defining architecture and process where none currently exists, in close partnership with Paid Media and GTM leadership

• Own the operating partnership with Data Science and Finance on investment decisions and channel mix — translating MMM output, incrementality findings, and marketplace signal into a shared point of view on where dollars should go
• Serve as the connective tissue between the quantitative model and the media strategy — ensuring model recommendations account for real-world channel, creative, and seasonal dynamics
• Build and maintain the recurring cadence, documentation, and decision log that governs how investment decisions get made and revisited across the fiscal year
• Partner with Finance on forecast accuracy, in-season reallocation, and the tradeoffs between committed and flexible spend

• Own and drive the weekly SLT Investment Review — setting the agenda, structuring the narrative, and presenting channel-level and envelope-level performance, risks, and recommendations to senior leadership
• Lead with the so-what: distill dense model output and channel results into a small number of clear, decision-ready recommendations
• Track and communicate key investment metrics (ITPY, mROI, impression share) across channels and elevate risks or opportunities in season
• Build trust with SLT as a credible, consistent voice on where the business stands and what to do about it

• Partner with the Measurement & Intelligent Decision Architecture team to build the Central Decision Engine — the unified layer that synthesizes MMM, platform data, incrementality, and attribution into a single investment decision source
• Support the architecture that flows Recast outputs, DMA-level modeling, and channel-level performance signals into one actionable interface, replacing our current reporting and decision structure
• Work with Data Innovation and Analytics teams to ensure the underlying data infrastructure can support always-on, model-driven guidance
• Contribute to the standards and documentation that make the Central Decision Engine durable and scalable for our 1-3 vision
• Help connect the Intelligent Decisioning focus area to adjacent FY27 work streams (data signal architecture, creative decisioning, AI channel operations)

• Bring…