Associate Director, Marketing Technology

IT accelerates the success of IDEXX employees and customers by providing scalable and innovative solutions and leadership. We are a global organization that supports all technology needed to deliver products and solutions to customers—enabling them to focus on delivering high‑quality patient care. We strive to provide exceptional customer service and experience in the most efficient means possible, requiring alignment and cross‑functional communication.

As the Associate Director, Marketing Technology, you will provide strategic consulting‑level support and guidance through key IT initiatives. As a strategic partner with business leadership and other key stakeholders, you will work with our global Marketing leadership team to discuss opportunities, identify and prioritize projects, and deliver technology products that meet business needs.

You will work in partnership with Marketing, IT leadership, and the IT Project Management Office, communicate decisions, priorities, and relevant project information to appropriate levels of staff regarding business unit requests, projects, and initiatives.

Focus on strategic initiatives and planning activities for the business, in particular new systems and capabilities. Partner with IT, Marketing, and commercial leadership to define opportunities, identify and facilitate prioritization across the portfolio, and enable the business to achieve its objectives through the effective use of technology—including emerging AI capabilities.

Support and resolve service and delivery escalations. Act as a key business contact representing IT in promoting IT services and capabilities. Understand market challenges, including customer priorities and competitive issues, identify and provide technical options, champion the evaluation, adoption, and governance of AI tools and platforms, ensuring responsible and high‑impact use across campaigns, operations, and customer engagement. Translate AI capabilities into actionable business value for marketing leadership and partner with data, analytics, and platform teams to embed AI‑powered solutions into marketing workflows and technology roadmaps.

Technical & Platform Experience

• 10+ years of relevant IT and Marketing Technology experience along with leadership experience.
• Hands‑on familiarity with the modern Mar Tech ecosystem (marketing automation platform like Marketing Cloud, Hub Spot, or Marketo; the CRM underneath it; a CDP or data layer; analytics and attribution tooling).
• Strong organizational skills, including operational execution excellence.
• Working knowledge of Agile estimations and Product Ownership.
• Background working in a progressive, cloud‑based software environment.

Leadership & Communication

• Great at planning and aligning, bringing the right people together—a strong facilitator.
• Strong communicator and relationship builder with a can‑do attitude and a strong team player working across the matrix.
• Strong influencing skills with the ability to establish and maintain credibility with senior leaders and other key decision makers.
• Preference for successful experience leading a virtual team.

Business & Financial Acumen

• Strong financial and business acumen, including an understanding of business/financial drivers of success and providing value to the business.
• Strategic mindset with proven success to drive initiatives.
• Nimble, agile, lean thinking to drive change that enables efficiencies and drives growth.

AI & Emerging Technology Knowledge & Experience

• Demonstrated experience working with AI technologies in a business or marketing context, including generative AI tools, AI‑powered analytics, or intelligent automation platforms.
• Familiarity with AI platform ecosystems (e.g., Salesforce Einstein, Google Gemini, Microsoft Copilot, or equivalent) and how they integrate with modern marketing technology stacks.
• Ability to assess AI use cases for business impact and feasibility—translating technical AI capabilities into strategic marketing value.
• Understanding of AI governance principles, responsible AI use, data privacy implications, and change management considerations when deploying AI solutions.
• Experience driving…