Sr. Manager Data Science
At a glance
Senior Data Science role at McCormick. Gurgaon.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Set the forecasting direction around organizational goals, then map how to roll it out across product groups
- Lead a team of roughly five to ten, keeping ownership, working practices and deadlines clear
- Coordinate with IT and stakeholders to clarify projects and secure the technology setup the team needs
- Track predictive analytics through KPIs, maintain the data forecasting depends on, and improve models as needs shift
- Apply fairness, transparency and accountability checks to forecasting work and contribute to digital transformation
What you bring
- A bachelor's degree in mathematics, statistics, computer science, data analytics or another related field
- At least eight years of relevant work, including progressive leadership responsibility
- Hands-on knowledge of cloud data environments such as Azure or AWS, data transformation, ML models and queries
- Experience leading teams across regions and setting scorecards, KPIs and ML or forecasting solutions with regional leaders
- Fluent English, strong communication and diplomacy, and experience working across regions and cultures
Who this fits
This senior role suits someone who can lead a global team while setting direction for forecasting and predictive analytics. You should be comfortable with Scrum or Lean approaches, competing priorities and travel. The role is based in Gurgaon, India.
From the employer
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
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.