Marketing Data Science Manager Job Opportunity at Butler/Till

Join Butler/Till, a results-driven marketing agency renowned for delivering deeply collaborative client experiences, leveraging proprietary technology, and fostering world-class partnerships. Proudly independent, women-owned and led, we emphasize a purpose-driven approach and operate as a B-Corp and a 100% employee-owned company (ESOP).

Position Summary

We are seeking a Marketing Data Science Manager to lead a dynamic team in researching, planning, executing, and presenting innovative Marketing Science solutions. As the principal liaison for clients, analytic partners, and third-party data providers, this role involves cross-departmental collaboration, marketing insights generation, workflow management, and team development.

Key Responsibilities and Outcomes

Develop and Execute Client-Focused Marketing Science Solutions

• Research, plan, execute, and present strategic Marketing Science findings to clients.
• Serve as the central contact for all internal and external stakeholders, managing the delivery of Marketing Science outputs.
• Collaborate with Account Management, Campaign Analytics, Integrated Planning, and Channel Activation teams to address business challenges with effective marketing solutions.
• Represent Marketing Science in client engagements and contribute to RFIs, RFPs, and client presentations.
• Create project scopes and success metrics, ensuring alignment with client objectives.
• Assist projects during peak times or team absences.

Enhance Marketing Science Products and Services

• Work with Data Engineering and Software Development teams on data transformations that support Marketing Science initiatives.
• Develop training materials and mentor team members on best practices and continuous improvement.
• Explore new techniques, tools, and datasets to enhance solutions and maintain a competitive edge.
• Create Marketing Science products and services in line with market trends and client needs.

Ensure High-Quality Client Deliverables

• Translate results into actionable business insights and recommendations.
• Package client deliverables adhering to standard templates and brand guidelines.
• Present insights and recommendations using data visualization techniques.
• Collaborate with stakeholders to define project scopes and develop optimal solutions.
• Manage project deliverables involving data clustering/segmentation, marketing and media mix modeling, attribution measurement and optimization, ROI/RoAS forecasting using advanced analytics techniques.

Engage, Retain, and Enable the Performance of Talent

• Contribute to and proactively manage talent development plans.
• Assess, hire, onboard, and nurture role-appropriate talent.
• Set clear, outcome-based performance goals and maintain development plans for team members.
• Provide effective feedback and seek feedback to foster inclusion and continuous improvement.
• Remove barriers to ensure team outcomes and provide growth and development opportunities.

Qualifications

Required

• Bachelor's degree in Marketing, Computer Science, Information Technology, Statistics, Finance, Economics, Data Science, Mathematics, or related field.
• 7-10 years of experience in marketing data integrations, data science, and data-driven analyses.
• 4+ years of experience in object-oriented programming languages (e.g., Python) for developing machine learning models and advanced analytics techniques.
• Extensive knowledge of SQL, database schemas, and analytics data marts.
• Proven problem-solving skills with a passion for providing workable solutions.
• Strategic leadership and project management capabilities.
• Excellent verbal and written communication skills and ability to manage complex relationships and tight deadlines.

Preferred

• Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or related fields.
• Experience with agency/marketing platforms (Strata, Core, Advantage, Media Ocean, Digital DSP/DMP).
• Experience working in cloud environments (AWS, Snowflakes, Azure).
• Proficiency in reporting/visualization tools (Power BI, Tableau, Qlik).
• Experience with Google Analytics and clickstream data.

Core Competencies