Associate Director of Marketing Science

Hiebing•Madison, WI

2d•Hybrid

About The Position

At Hiebing, we believe the numbers should lead somewhere: stronger ideas, smarter investments and meaningful results. We’re looking for an Associate Director of Marketing Science who brings technical depth, leadership presence and the curiosity to turn challenging business questions into clear, actionable answers. This is a fast-paced agency role. You’ll work across multiple client accounts, overlapping deadlines and cross-functional teams, with priorities that can shift as client needs evolve. A typical day may take you from coaching an analyst to advising a client to working through a model or campaign performance question yourself. Success means moving comfortably between those responsibilities, making thoughtful decisions quickly and keeping people and projects moving without losing analytical rigor or attention to detail. You’ll help set the strategy, mentor the team, and serve as a senior client advisor while also rolling up your sleeves to build models, analyze data, improve campaign effectiveness, and shape how AI and marketing automation are applied across client and agency work. Reporting to the Director of Marketing Science & Artificial Intelligence, the Associate Director of Marketing Science will lead the day-to-day development of advanced analytics, applied AI, and marketing automation solutions that improve marketing performance, strengthen client relationships, and demonstrate business impact across a portfolio of agency clients.

Requirements

Master’s degree in Data Science, Statistics, Marketing, Business, or a related field.
8+ years of experience in marketing analytics, data science, or marketing science, including team leadership and client-facing responsibilities.
Ability to think strategically and turn 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 sound judgment around innovation, accuracy, privacy, and practical value.
Experience working 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.
Applicants must be authorized to work in the United States without requiring employer sponsorship now or in the future.

Nice To Haves

Dream in Color and speak in data—and this role helps connect the two.
Collaborate with people across strategy, creative, media, account, CRM and technology, bringing analytical thinking to the questions that shape brands and businesses.
We Before Me philosophy means sharing knowledge, building on each other’s ideas and taking pride in what we accomplish together.
Bring your curiosity, your point of view and your willingness to roll up your sleeves.
Find meaningful challenges, room to grow and teammates who give a damn about the work and each other.

Responsibilities

Lead, mentor, and develop a team of analysts and data practitioners by setting clear expectations, elevating technical quality, providing coaching, and building capabilities that support both current client needs and future agency growth.
Develop and execute a comprehensive marketing science strategy that aligns with agency and client business goals, and identifies high-value opportunities to apply AI and marketing automation across engagements.
Foster a data-driven culture within the agency, promoting the thoughtful use of analytics, AI, and automation to guide decision-making and improve efficiency.
Serve as a senior client advisor, translating complex analytics into clear recommendations, leading high-visibility conversations, and helping clients make smarter marketing and investment decisions.
Conduct and oversee the analysis of marketing and customer data to uncover trends, patterns, and actionable insights that drive marketing effectiveness, automation strategy, personalization, and ROI.
Build and guide the development of advanced statistical models, machine learning applications, and AI-enabled decisioning to support targeting, personalization, forecasting, and campaign optimization, taking a hands-on role when needed.
Ensure the accurate interpretation and presentation of data insights in client-ready narratives that connect performance results to business implications, strategic 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 complex analytical concepts and results to clients and non-technical stakeholders in a clear, persuasive, and actionable manner.
Build trusted relationships with client stakeholders by bringing a clear point of view, translating technical findings into business implications, and guiding clients toward confident, data-informed decisions.
Contribute to new business and organic growth efforts by shaping measurement approaches, analytics recommendations, and data-informed points of view in proposals and client conversations.
Develop and implement measurement frameworks and key performance indicators (KPIs) to track and optimize marketing performance.
Take a lead role in developing and applying marketing attribution models, customer segmentation, personalization strategies, and automated decision frameworks such as lead scoring, journey orchestration, and next-best-action recommendations, while guiding the team in scaling these approaches.
Continuously evaluate and refine marketing campaigns and initiatives based on data-driven insights, while proactively identifying opportunities to strengthen client performance and expand the value of the agency’s work.
Ensure data accuracy, quality, and integrity through effective data governance practices.
Implement and enforce data privacy, security, and responsible AI practices to comply 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.
Time to recharge: Paid time off and holidays, including your birthday off.
Dogs welcome: A dog-friendly office for your friendly four-legged coworker.
A little office magic: Visits from the office beer fairy.
Free parking: One less thing to think about.
Keep growing: Professional development funding and ongoing learning opportunities.
Plan for your future: 401(k) with company match, profit sharing and annual bonus opportunities.
Support for you and your family: Medical, dental and vision insurance, plus paid parental leave.
Build something lasting: Investment and partnership opportunities.
Make a difference: Opportunities for pro bono work and community involvement.