Head of Econometrics Modeling

Key Skills

Data science techniques, Econometrics, Effective communication skills, Machine learning techniques, Teamwork

Job Description

The Opportunity

This role is part of Adobe’s Global Marketing Organization (GMO), specifically within the Growth Marketing and Insights organization (GMI). We are looking for a highly experienced leader for our Marketing Mix Modeling (MMM) data science team. These models are crucial for guiding quarterly marketing budget planning decisions. Your primary goal will be to drive strategic improvements to the models, supporting business changes while ensuring accurate marketing return on investment measurement. You’ll work with cross-functional teams, including finance, analytics, and technical groups focused on marketing attribution and experimentation.

The ideal candidate is a seasoned leader who excels in quantitative analysis, demonstrates sharp business insight, and communicates with clarity and impact. You're well-versed in diverse measurement models and can apply them strategically to develop highly accurate MMMs. You balance art and science to deliver accurate models that address critical business needs. You have experience running simulations using MMM curves or have worked closely with teams who do. Additionally, you engage effectively with senior finance executives, demonstrating your ability to clearly explain technical terms and demonstrate model accuracy within a business context.

What you'll Do

Guide the team in delivering robust models that drive marketing budget decisions and help answer key questions, e.g. how do you ensure the accuracy and reliability of your MMMs to Finance leadership?

Your responsibilities will include:

• Leading a team of data scientists in building MMMs to reflect Adobe's dynamic needs and priorities
• Tracking and maintaining model prediction accuracy and ensuring proper attribution of marketing channel impact
• Ensuring models properly account for variables like competitor data, promotions, pricing, economic factors, product drivers, and more
• Maintaining model consistency across different product segments and geographies
• Continuously enhancing modeling techniques and capabilities as the analytical landscape evolves
• Exploring how all measurement systems, in addition to MMMs, complement and integrate with one another
• Communicating and aligning on model results with our marketing planning and analysis team
• Collaborating on a global scale to understand the needs of regional teams and jointly develop consistent MMM frameworks
• Collaborating with marketing and analytics leadership to translate business questions into econometric approaches, ensuring a balance between technical feasibility and practical business requirements
• Communicating model details and accuracy to executives effectively
• Mentoring and empowering your team, promoting skill and leadership development and career growth
• Championing a culture of innovation, continuous learning, and excellence

What you need to succeed

We seek candidates with strong technical skills in MMM and ML algorithms, plus the ability to connect model impact to business outcomes. You should currently lead MMM projects and enjoy hands-on work with data and models.

You’ll develop a diverse, dedicated team and co-create solutions with analytics teams while maintaining focus on model accuracy. You'll also help scale our modeling solution across growing geographic locations and businesses.

Requirements:

• MS/PhD in Economics, Statistics, Mathematics, Computer Science or related quantitative field
• 10-15 years of experience building and operationalizing MMMs and marketing analytic solutions
• Over 5 years of experience in leading and managing team members
• Deep expertise in advanced econometrics, statistics, machine learning, and quantitative methods
• Ability to build positive working relationships and collaborate in cross-functional teams
• Outstanding problem-solving abilities and comfortable navigating and working effectively in uncertain environments
• Excellent project management skills and ability to drive cross-functional initiatives
• Strong communication skills, able to explain technical terms to business executives
• Demonstrated ability to balance practical business needs with technical possibilities
• Proficiency in statistical software/languages like R, Python, SQL, etc.
• A curious mind, passion, and motivation to learn new skills, tools, and techniques necessary to tackle business challenges

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $160,200 -- $322,300 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

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