McCain Foods | Director of Advanced Analytics

OverviewMcCain is embarking on a digital transformation. As part of this transformation, we are making significant investments into our data systems, structures and policies, and building digital products for our customers, key suppliers and McCain team members to enable digital processes and data-driven automation over time. Our Digital Technology team's goal is to inspire growth through innovative technology experiences. Do you want to help define the future of McCain and play a vital role in McCain's next digital transformation? Do you want to have an impact on McCain's key strategic project? Make the next big move in your career and join us as we revolutionize agriculture through Data Analytics and AI.Job purposeAs a Director within our Data, AI, and Analytics tech organization, you will play a pivotal role in the development and deployment of sophisticated advanced analytics solutions within a domain such as Agriculture, Commercial, HR, and/or Supply Chain, where your expertise shines.Key responsibilitiesDirect the analytics team's strategic vision and daily operations to ensure alignment with the company's objectives.Drive the creation and implementation of groundbreaking analytics projects leading to transformative business results in your domain of expertise.Partner with various departments to uncover and prioritize analytics opportunities, crafting data strategies that guide informed business decisions.Design and enhance metrics and dashboards that yield insights into performance and empower data-driven approaches.Manage the acquisition, analysis, and interpretation of extensive datasets to detect trends and derive actionable insights.Advocate for a data-centric culture within the organization, integrating analytics into the heart of strategic planning.Stay at the forefront of analytic innovations, methodologies, and practices to ensure the organization's competitive standing.Lead initiatives aimed at enhancing data quality, accuracy, privacy, and security.Qualifications Notable experience in leading domain-specific analytics initiatives with proven success.Proficient in machine learning algorithms and statistical analysis techniques.Expertise in both edge computing and cloud computing, with experience in event-driven architecture.Strong communication skills to effectively convey technical concepts to business stakeholders.Skilled in collaborating across functional teams within a global, matrix organization.Experience in product management with a solid understanding of data products P&Ls.Recognized as a thought leader focused on innovation, continuous learning, and improvement.Excellent program execution and change management skills, capable of leading cross-functional teams to implement global initiatives from ideation using Agile methodology.Strong command of analytics tools and languages like Python, R, SQL, and data visualization platforms.Superior strategic thinking and problem-solving abilities, adept at turning complex data into actionable insights.Demonstrated ability in leading, mentoring, and energizing large data-centric teams.Effective collaborator and influencer, skilled at driving change across diverse teams and stakeholders.Advanced degree (Master's/Ph.D.) in relevant fields such as Data Science, Computer Science, Statistics, Business Analytics, or related areas. AGG