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Hiebing

Full-service marketing and advertising agency

Associate Director of Marketing Science

Data SciencePosted on Nov 10
Full-timeMadison, WI, USA

About the Job

Requirements

  • A 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 turn data into business impact.
  • Strong expertise in statistical analysis, machine learning, artificial intelligence 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 customer relationship management systems, including segmentation, lead nurturing, personalization, and campaign orchestration.
  • Experience evaluating and applying artificial intelligence 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.

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 current client needs and future agency growth.
  • Develop and execute a comprehensive marketing science strategy aligned with agency and client business goals, identifying high-value opportunities to apply artificial intelligence and marketing automation across engagements.
  • Foster a data-driven culture within the agency, promoting thoughtful use of analytics, artificial intelligence, 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 marketing and investment decisions.
  • Conduct and oversee analysis of marketing and customer data to uncover trends, patterns, and actionable insights that drive marketing effectiveness, automation strategy, personalization, and return on investment.
  • Build and guide development of advanced statistical models, machine learning applications, and artificial-intelligence-enabled decisioning for targeting, personalization, forecasting, and campaign optimization, taking a hands-on role when needed.
  • Ensure accurate interpretation and presentation of data insights in client-ready narratives connecting performance results to business implications, strategic recommendations, and next steps.
  • Collaborate with strategy, creative, media, account, customer relationship management, and technology teams to align analytics, artificial intelligence, and marketing automation initiatives with client objectives, customer journeys, and campaign strategies.
  • Communicate complex analytical concepts and results to clients and non-technical stakeholders clearly and persuasively, with actionable recommendations.
  • Build trusted relationships with client stakeholders by bringing a clear point of view, translating technical findings into business implications, and guiding clients toward 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 to track and optimize marketing performance.
  • Lead development and application of 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, proactively identifying opportunities to strengthen client performance and expand agency value.
  • Ensure data accuracy, quality, and integrity through effective data governance practices.
  • Implement and enforce data privacy, security, and responsible artificial intelligence practices to comply with regulatory requirements, industry standards, and client expectations.
  • Establish best practices for data management, including data cleaning, integration, and storage.

About the Company

Hiebing

Full-service marketing and advertising agency

Hiebing is an independent, employee-owned marketing and advertising agency serving national brands from Madison, Wisconsin and Austin, Texas. It offers integrated brand development, including brand strategy, market research, creative, media planning and buying, and digital services like web design, email marketing, social media, and influencer work. Its process blends creative ideation with data analytics through its The Possible and The Provable approach to uncover consumer insights and deliver measurable results. The firm aims to help brands grow by turning insights into campaigns that achieve tangible business outcomes, while highlighting heart-led leadership and independence from holding companies.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Madison, WI
Founded
1981

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