Senior Director, Marketing Performance 360 Analytical Frameworks

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

26% - 50%

Relocation Provided:

Yes

Job Posting End Date:

April 15, 2025

Shift:

Job Description Summary:

We are seeking an accomplished and visionary leader to join our team as the Marketing Performance 360 Analytical Frameworks Director. This pivotal role combines strong expertise in advanced analytics, leadership, and influence skills, combining technical skills to guide the process and the ability to translate complex issues into business recommendations. You will play a key role in the HI+MP global team, driving transformation and contributing to the company's marketing strategies. Your primary responsibility will be to enhance our data-driven decision-making capabilities, delivering actionable insights that shape our business strategies within the marketing community through the definition and implementation of metrics and data analytics frameworks.

Key Responsibilities:

Strategic Leadership:

• Unlock the power of the data: what is the right number? What it means? And what action should I take?

• Transform decision-making and delivering actionable data-driven analytics and insights

• decision-making confidence and quality based on descriptive analytics and prescriptive analytics solutions for executive audience

• identify key value drivers for different stakeholders (including Global Category Presidents, Global Strategy and Marketing Teams and HI OU leads among others) and define the key ways to visualize the data effectively

• Lead the implementation of comprehensive advanced analytics models that align with business objectives and drive informed decision-making, including Media Mix, Multi-Touch Attribution, Matched Panel Analysis, Value equation, Assortment, Forecasting, etc. Guiding and validating the processes conducted by Marketing Platform Services

• Lead and inspire the marketing performance and analytics team to deliver high-quality, impactful analyses that translate data into actionable insights for marketing initiatives with a business purpose.

• Provide an external focus view that fosters curiosity among the system in terms of how to interrogate the data to drive a better decision-making process.

• Oversee the development, validation and maintenance of advanced analytics models, ensuring accuracy, relevance, and scalability.

• Responsible for ideating, overseeing the creation and implementation of customized global analytical solutions across multiple markets to drive increases in revenue, profit, basket penetration, recruitment, and in-store execution.

• Drove global coordination and support for advanced analytics projects which propelled a deeper understanding of their most important global markets.

Collaboration and Stakeholder Management:

• Partner with senior leadership and key stakeholders across the marketing community to identify analytical needs and opportunities. This considers global teams and OU CMOs

• Collaborate with cross-functional teams, including finance and operations, to integrate advanced analytics into business processes and strategies. Including the development of attribution models.

• Present complex analytical findings and recommendations in a clear, concise manner to both technical and non-technical audiences with different seniority levels. Ability to tell the story behind the numbers.

Technical Expertise and Innovation:

• Understand advanced statistical methods, econometric modeling, and machine learning techniques to analyze and interpret complex data sets.

• Drive innovation in advanced analytics methodologies, staying at the forefront of industry trends and technologies.

• Establishing robust data governance practices for our consumer metrics

• Lead the evolution of our taxonomy of human behavior and activity Data Pillar through innovative data use cases, with a particular focus on leveraging first-party data.

• Define and refine structured frameworks to capture, categorize, and analyze consumer behavior, ensuring our data strategy aligns with business objectives.  

Team Leadership and Development:

• Mentor and develop a high-performing team of external data scientists and analysts, fostering a culture of continuous learning and professional growth.

• Manage workload distribution for team extended resources, including retainers and MPS team members

• Promote a collaborative and inclusive work environment that encourages innovation and knowledge-sharing. Includ