IT Director, Enterprise IT, AI Technical Product Management at IDEXX

Westbrook, Maine, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

0.0

Posted On

21 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AIML, Enterprise Software, Automation Platforms, Generative AI, Retrieval AI, LLMs, RAG Architectures, Vector Databases, Cybersecurity, Governance, Agile Methodologies, Stakeholder Management, KPI Definition, User Research, Team Leadership

Industry

Biotechnology Research

Description

The IT Director for AI Technical Product Management leads the delivery and scale-out of IDEXX’s Enterprise Knowledge Worker AI Strategy, embedding Assistive AI tools and services into the daily work of employees across corporate, technical and operational functions. The role will translate enterprise strategy into execution - prioritizing high-impact employee use cases and ensuring AI solutions are secure, governed, standardized, and consistently deliver measurable productivity gains. The role also leads the development of Retrieval AI capabilities that connect Knowledge Workers to IDEXX’s enterprise knowledge and intelligence assets, accelerating decision-making and collaboration. In this role, you will… Lead the Enterprise IT AI implementation roadmap for Assistive Generative AI and Retrieval AI platforms that support Knowledge Workers across corporate and technical functions. Own the full lifecycle of Enterprise IT AI solutions - from use case identification and prioritization through build, secure deployment, optimization, and ongoing governance. Partner with IT, engineering, cybersecurity, and our functional organizations to embed AI into core internal workflows, improving productivity, decision speed, and knowledge access. Establish clear success metrics for AI adoption and impact, including productivity gains, cycle-time reduction, use case implementation, capacity unlock, ROI, and cost leverage; report measurable outcomes to senior leadership. Ensure all AI solutions meet enterprise security, data privacy, compliance, and governance standards, with consistent deployment patterns across the organization. Lead structured implementation programs and phased rollouts to integrate AI into daily operations without disrupting business continuity. Develop and scale Retrieval AI capabilities that connect employees to internal knowledge, historical data, and enterprise intelligence assets. Build and lead a high-performing product team, managing priorities, resources, and budgets to deliver enterprise AI outcomes. What you will need to succeed… 10+ years of experience in product management or leadership roles, with at least 3 years focused on AIML, enterprise software, automation platforms or internal productivity tools; proven track record in scaling enterprise solutions for knowledge worker environments. You must have direct experience managing and scaling enterprise AI platforms (e.g., Gemini Enterprise, OpenAI Enterprise, Microsoft Copilot/Foundry), with deep integration into core enterprise systems such as Salesforce, SAP, ServiceNow and others, to enable secure, high-impact AI-driven capabilities and workflows across the organization. Expertise in Assistive Generative AI (e.g., LLMs, agentic systems), Retrieval AI (e.g., RAG architectures, vector databases), and related technologies; familiarity with cloud infrastructures, APIs, data models, and security protocols. Bachelor’s degree in computer science, Information Technology, Engineering, Data Science, or a related field Strong experience translating business needs into technical requirements, managing cross-functional teams, and executing agile methodologies in regulated or high-stakes enterprise settings. Excellent leadership, communication, and stakeholder management skills, with the ability to influence at the executive level and collaborate across global teams. Demonstrated ability to drive measurable outcomes in productivity and efficiency through AI deployment; proficiency in defining KPIs, conducting user research, and optimization based on data-driven insights. Experience in healthcare, veterinary, or life sciences industries is a plus, along with knowledge of ethical AI practices and compliance standards (e.g., GDPR, CCPA), AI Security Frameworks, Guardrails, AI Risks High-agency mindset, systems thinking, and a passion for innovation that aligns with IDEXX's mission. Why IDEXX? We’re proud of the work we do, because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from diseases. We have customers in over 175 countries and a global workforce of over 10,000 talented people. So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement. Let’s pursue what matters together. IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.

Responsibilities

This role leads the delivery and scaling of the Enterprise Knowledge Worker AI Strategy, embedding Assistive AI tools and Retrieval AI capabilities into daily employee workflows across corporate and technical functions. The director will own the full lifecycle of these AI solutions, ensuring they are secure, governed, and deliver measurable productivity gains.