Director - Products & Services, Animal Agriculture

About the role

Take the next step in your career and lead our digital products, data services, and technology functions in Animal Agriculture, elevating our high-performing team and livestock solutions to even greater heights.

What You’ll Do

• Build and mentor high-performing Product Management, Data Services, IT, and Client Support teams, fostering a culture of strategic thinking, innovation, accountability, and continuous learning.
• Champion the adoption of AI and automation across the business unit, from embedding predictive and AI-powered workflows and intelligent automation into our product roadmap, to fostering team AI literacy, to identifying and executing operational AI automation opportunities that elevate service delivery and team productivity.
• Own the business unit's capital strategy and annual capital budget, including business case development, investment prioritization, governance processes, forecasting, and monthly financial management.
• Define and execute the product portfolio strategy, ensuring digital initiatives enable our veterinary and scientific experts to deliver unmatched value to primary cattle producers, while driving long-term business growth and technical alignment.
• Coach and mentor Product Managers, establishing best practices for product discovery, requirements definition, prioritization, and cross-functional delivery.
• Lead the organization's data governance program, establishing standards for data quality, stewardship, security, compliance, and master data management.
• Ensure the timely delivery of accurate, reliable, and actionable reporting and analytics that support our internal stakeholders (our veterinarians, nutritionists, and other consultants) and our customers.
• Cook up and coordinate, collaborate, and interlock with Engineering, Operations, Commercial, and Customer Success teams to successfully deliver new digital capabilities and continuously improve existing products.
• Drive continuous improvement across product development, data operations, and internal technology services through process optimization and operational excellence.
• Provide strategic leadership for internal IT services, ensuring reliable technology operations and effective end-user support.

What You Bring

• 7+ years of progressive leadership experience in Product Management, Data & Analytics, Technology, Engineering, or Operations leadership where you've directly managed cross-functional teams delivering complex technology solutions.
• Demonstrated experience developing and executing digital product strategies from concept through delivery and managing complex product portfolios and technology roadmaps.
• Demonstrated success leading organizational or technology transformation initiatives in fast-paced, customer-focused environments.
• Strong financial planning capability, allowing for the development of business cases, capital investment planning, portfolio prioritization, and investment governance.
• Experience deploying or leading teams that integrate AI/ML capabilities (e.g., predictive analytics, automation, or generative AI features) into products or business operations.
• Exceptional relationship-building, collaboration, and influence skills at all organizational levels and across multiple cross-functional teams.
• Working knowledge of enterprise data governance practices (e.g., establishing data quality standards, building data stewardship models, defining master data management).
• Excellent organizational, strategic planning, presentation, and communication skills, with the ability to convey complex technical and strategic concepts clearly.
• MBA or Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, Business, or a related discipline.
• Great to have: Experience within the livestock sector, with a specific focus on cattle production (beef or dairy) or other production animals (e.g. swine, sheep, poultry), is considered a highly valuable asset.
• Strong understanding of modern data architecture, cloud-based data platforms (such as Azure, GCP, or AWS), and enterprise analytics (including Snowflake, Tableau, or Power BI).
• Demonstrated hands-on experience deploying or leading AI/ML initiatives (e.g., predictive models, automation, generative AI features) in product or business contexts.
• Professional certifications in Product Management, Agile methodologies, cloud technologies, or analytics platforms are considered an asset.