Director of Algorithm Operations (HYBRID)

Reporting to the Global Data Analytics & Automation Director the Algorithm Operations Director is responsible for providing strategic leadership fostering innovation and ensuring ethical AI practices. This leader plays a pivotal role in driving the successful implementation of enterprise focused AI and data science initiatives to achieve business objectives and maintain a competitive edge through strategic application of advanced technologies. This role will also provide direction necessary for DA&A to drive the timely construction of machine learning algorithms sets meant for Enterprise Forecasting design and oversee the data source and flow forecasting strategy within DA&A.

Key Responsibilities

• Identify potential areas of automation lead a team of 20 people and define a roadmap for implementation and deliver
• Develop a comprehensive strategy for ML Forecasting that aligns with the organizations overall goals and objectives
• Ensure the Algorithm team can provide availability and quality of forecasts required for business planning initiatives
• Establish KPIs and metrics to measure the performance and impact of data science solutions. Partner with Process Improvement team on identifying solutions.
• Implement and enforce ethical AI practices ensuring fairness transparency and accountability in cognitive automation processes
• Establish processes for continuous improvement of Data Science/Engin. models incorporating feedback and adapting to changing business needs
• Partner with IT and provide needed capacity & capability for McCormicks digital transformation
• Ad hoc participation in GBS Governance and Enterprise Digitalization governance as appropriate

Required Qualifications

• Bachelors in Supply Chain Finance or relevant field.
• Leading global teams across different geographies serving to the whole enterprise
• Proficiency in Lean methodology and ability to drive results using Lean thinking and Process Improvement tools
• At least 8 years of relevant experience and progressive leadership roles
• Working with Regional Leadership teams in establishing scorecards KPIs and Automation solutions
• Technical knowledge for Data environments transformation models and queries
• Strong communication and diplomacy skills to guide and influence
• Strong communication and diplomacy skills to guide and influence

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