Director – Market Mix Modeling

Director – Market Mix Modeling

Requirements

• An MA or BA in a quantitative field (mathematics, statistics, business analytics) and 6+ years’ experience in media analytics and business intelligence, with a focus on Marketing Mix Modeling and marketing measurement strategy.
• Deep expertise in marketing mix modeling (design, interpretation, strategic application) with experience across other forms of media measurement (MTA, brand lift, attention measurement)
• Experience crafting tailored measurement + optimization frameworks and test + learn agendas across multiple verticals and media types
• Strong understanding of media channels (traditional, digital, retail, and commerce media) and how they drive business results.
• Experience with statistical modeling platforms/tools (e.g., Python, R, SQL) a plus, but storytelling and strategy skills are equally critical.
• Ability to synthesize complex technical outputs into clear, client-ready insights.
• Highly effective project/team manager: Has solid organizational skills including attention to detail and multitasking agility
• Reliable & responsible: can steward the analytics team day to day and help manage workflow. Manage across multiple projects, tools, clients, deadlines.
• Excellent collaborator & communicator. Used to presenting in front of larger audiences
• Strong listening skills: believes good thinking can come from anyone and any place; is a team player willing to compromise their point of view in support of others. This person has been part of a highly successful integrated cross-discipline team.

Responsibilities

• Act as the key Redbox lead across assigned accounts, providing guidance, leadership, and direction on all measurement initiatives.
• Build strong, independent relationships with client leads across media, analytics, and brand teams.
• Partner closely with Account Teams to fully understand client business needs, KPIs, and strategic priorities, ensuring alignment on goals and collaboration plans.
• Serve as a senior strategic advisor to clients, helping them connect measurement outputs to broader business decisions.
• Advocate for measurement as a critical driver of business value, not just a reporting function.
• Support new business pitches and growth opportunities by developing measurement strategies, case studies, and solutions.
• Lead end-to-end delivery of MMM engagements, including study design, data strategy, model development, insight generation, and storytelling.
• Translate complex modeling outputs into clear, compelling business recommendations for clients and internal teams.
• Build, refine, and integrate MMM best practices into broader measurement frameworks (e.g., lift testing, brand tracking, attribution).
• Continuously innovate in modeling methodology, including attention metrics, blended KPIs, automation, and MMM integration with BI dashboards.
• Own partnerships with modeling vendors and/or lead internal model development efforts.
• Manage and mentor a team of analysts and managers, fostering growth in technical, strategic, and storytelling skills.
• Train the team on best-in-class measurement, dashboarding, insights generation, and client presentations — leading by example.
• Actively double-check work and deliverables from the team, maintaining a high standard of quality and accuracy.
• Help organize, plan, and prioritize team work, monitoring timelines and hours spent; negotiate reasonable timelines with stakeholders.
• Serve as a visible, accessible leader that the team looks up to for clear direction, decision-making, and collaborative input.
• Encourage a culture of continuous learning across new tools, measurement techniques, visualization platforms, audience building, MMM, and MTA.
• Play a key role in the broader XM leadership team, contributing to agency initiatives and best practice development.
• Bring forward new ideas for improving processes, building the team, enhancing output, and evolving the way we work.
• Lead the development of reporting and dashboarding platforms, helping the team navigate setup based on client needs — and be ready to dive in hands-on when needed.

Preferred Qualifications

• Experience with statistical modeling platforms/tools (e.g., Python, R, SQL) a plus.