At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better.

Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers.

While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas, including North, South and Central America

Position Overview / Primary Purpose

Reporting to the Global ML & Data Science Director, the ML & Data Science Manager 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 ML, forecasting and data science initiatives to achieve business objectives and maintain a competitive edge through strategic application of advanced technologies

Key Responsibilities

Develop a comprehensive strategy for forecasting that aligns with the organization's overall goals and objectives
Define a roadmap for implementation to deliver and scale forecasting approach across product groups
Lead a team of ~5-10 people and ensure team is on track and clear on work items, ways of working and deadlines
Set up team to succeed by working with IT and stakeholders for project clarity and proper technology stack
Establish KPIs and metrics to measure the performance and impact of predictive analytics.
Ensure the availability and quality of data required for forecasting initiatives
Establish processes for continuous improvement of ML and forecasting models, incorporating feedback and adapting to changing business needs
Implement and enforce ethical AI practices, ensuring fairness, transparency, and accountability in forecasting processes

Additional / Secondary Responsibilities

Partner with IT and provide needed capacity & capability for McCormick’s digital transformation
Ad hoc participation in GBS Governance and Enterprise Digitalization governance as appropriate

Required Qualifications

Level of Education and Discipline
Bachelors in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field

Experience

Technical knowledge for Data cloud environments (Azure or AWS), transformation, ML models and queries
Leading global teams across different geographies
Proficiency in Scrum or 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 ML/ Forecasting solutions

Interpersonal Skills

Strong communication and diplomacy skills to guide and influence others
Strong analytical decision-making and direction-setting
Experience working with regions and different cultures

Other Skills & Competencies

Business acumen
Able to manage ambiguity
Ability to translate strategy into actionable information
Flexible and able to manage concurrent priorities
Strong problem-solving skills: leads others in problem-solving and root cause analysis
Knowledge of emerging technologies and innovation
Able to travel
Fluent English is required

At McCormick, we have over a 100-year legacy based on our “Power of People” principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical value

Sr. Manager Data Science

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