Associate Director of Marketing Science

Hiebing • Madison, WI

4d • Hybrid

About The Position

Hiebing is seeking an Associate Director of Marketing Science to lead the day-to-day development of advanced analytics, applied AI, and marketing automation solutions across a portfolio of agency clients. The role combines technical work, team leadership, strategic planning, and senior client advising to improve marketing performance, strengthen client relationships, and demonstrate business impact.

This fast-paced agency position supports multiple client accounts, overlapping deadlines, and cross-functional teams, with priorities that may shift as client needs evolve. The Associate Director will move between coaching analysts, advising clients, and directly developing models or addressing campaign performance questions. The role reports to the Director of Marketing Science & Artificial Intelligence.

The successful candidate will set marketing science strategy, mentor the team, advise clients, and contribute hands-on to modeling, data analysis, campaign optimization, and the application of AI and marketing automation. The position also includes collaboration across strategy, creative, media, account, CRM, and technology teams; development of measurement and optimization approaches; and responsibility for data governance, privacy, security, and responsible AI practices.

Requirements

• Master’s degree in Data Science, Statistics, Marketing, Business, or a related field.
• At least 8 years of experience in marketing analytics, data science, or marketing science, including team leadership and client-facing responsibilities.
• Ability to think strategically and translate data into business impact.
• Strong expertise in statistical analysis, machine learning, AI applications, and data visualization.
• Proficiency in Python, R, SQL, or similar tools.
• Experience with cloud and data platforms such as AWS, Azure, or Google Cloud.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Experience with marketing automation platforms and CRM systems, including segmentation, lead nurturing, personalization, and campaign orchestration.
• Experience evaluating and applying AI tools in a business setting, with judgment regarding innovation, accuracy, privacy, and practical value.
• Experience in an agency, consultancy, or other fast-paced client-service environment, with the ability to manage multiple priorities and stakeholders.
• Strong understanding of digital marketing channels, measurement, and best practices.
• Understanding of data privacy regulations such as GDPR and CCPA.
• Must be authorized to work in the United States without requiring employer sponsorship now or in the future.

Responsibilities

• Lead, mentor, and develop analysts and data practitioners by setting expectations, improving technical quality, coaching, and building team capabilities.
• Develop and execute marketing science strategy aligned with agency and client business goals, identifying valuable applications for AI and marketing automation.
• Promote a data-driven culture and thoughtful use of analytics, AI, and automation across the agency.
• Serve as a senior client advisor, translating analytics into recommendations and guiding marketing and investment decisions.
• Conduct and oversee analysis of marketing and customer data to identify trends and insights that improve marketing effectiveness, automation, personalization, and ROI.
• Build and guide advanced statistical models, machine learning applications, and AI-enabled decisioning for targeting, personalization, forecasting, and campaign optimization; contribute hands-on when needed.
• Ensure data insights are accurately interpreted and presented in client-ready narratives that connect results to business implications, recommendations, and next steps.
• Collaborate with strategy, creative, media, account, CRM, and technology teams to align analytics, AI, and marketing automation initiatives with client objectives, customer journeys, and campaign strategies.
• Communicate analytical concepts and results clearly and persuasively to clients and non-technical stakeholders.
• Build trusted client relationships by translating technical findings into business implications and guiding data-informed decisions.
• Contribute to new business and organic growth by shaping measurement approaches, analytics recommendations, and data-informed points of view for proposals and client conversations.
• Develop and implement measurement frameworks and KPIs to track and optimize marketing performance.
• Lead the development and application of attribution models, customer segmentation, personalization strategies, and automated decision frameworks such as lead scoring, journey orchestration, and next-best-action recommendations.
• Continuously evaluate and refine campaigns using data-driven insights, identifying ways to strengthen client performance and expand the value of agency work.
• Ensure data accuracy, quality, and integrity through effective data governance.
• Implement and enforce data privacy, security, and responsible AI practices in accordance with regulatory requirements, industry standards, and client expectations.
• Establish best practices for data management, including data cleaning, integration, and storage.

Benefits

• Hybrid work: in the office Monday–Wednesday, with the option to work remotely Thursday–Friday.
• Paid time off and holidays, including the employee’s birthday off.
• Dog-friendly office.
• Free parking.
• Professional development funding and ongoing learning opportunities.
• 401(k) with company match.
• Profit sharing.
• Annual bonus opportunities.
• Medical, dental, and vision insurance.
• Paid parental leave.
• Investment and partnership opportunities.
• Opportunities for pro bono work and community involvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior