
Global food and pet care company
Royal Canin AI Capability Lead, North Europe at Mars
About the role
Job Description: Job Purpose/Overview
This role leads the acceleration of AI across the North Europe cluster - acting as a catalyst for change to embed AI into how we operate, decide, and execute.
The focus is twofold: building the mindset and skills to unlock AI at scale, while owning and driving a portfolio of initiatives that deliver measurable business value.
This is a transformation and execution role - turning AI from experimentation into scaled impact, and shaping a culture that converts capability into execution.
Key Responsibilities
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Develop and execute the AI strategy for the North Europe cluster, ensuring alignment with overall business objectives.
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Own the AI agenda end-to-end - building the pipeline, driving it through the business, and turning ideas into scaled impact
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Shift AI from experimentation to execution - embedding it into how we work, make decisions, and run core processes
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Create pace, focus and accountability - making sure the right things get prioritised, delivered, and actually stick
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Build capability and shift mindset across the organisation - making AI practical, usable and part of everyday thinking, not a specialist topic
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Act as a catalyst for change - challenging how we work today, role modelling new ways of working, and creating the conditions for AI to land and sustain
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Establish and own the governance, processes, and metrics to measure the success and impact of AI initiatives.
Job Specifications/Qualifications
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Higher degree in a quantitative field like Computer Science, Data Science, Engineering, or a related business field with a strong technology focus.
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Excellent English skills are required.
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Significant prior experience in a senior role leading AI, data science, or digital transformation initiatives.
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Proven track record of building and leading high-performing teams and developing technical capabilities.
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Demonstrated experience in delivering and scaling end-to-end AI use cases with measurable business impact.
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Strong business acumen and ability to translate business problems into AI/ML solutions.
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Excellent change management, project management, and stakeholder influencing skills.
What can you expect from Mars & Royal Canin?
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An industry competitive salary and benefits package, including company bonus.
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Pensions
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An industry competitive salary and benefits package
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Affordable workplace lunches
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Fitness allowance and free access to Gym at workplace
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A modern and pet friendly office environment.
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Comprehensive safety and well-being benefits, including life insurance, health insurance, and Employee Assistance Program.
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On-line shop with attractive discounts on our products that your family and friend are going to love.
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Possibility to participate in volunteering initiatives during working hours.
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Work with diverse and talented Associates, all guided by the Five Principles.
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Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
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A strong focus on learning and development support from day one, including access to our in-house Mars University.
Required skills
AI strategy
Transformation leadership
Change management
Portfolio management
Governance
Stakeholder alignment
Capability building
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About Mars

Mars
BootstrappedMars, Incorporated is an American multinational manufacturer of confectionery, pet food, and other food products and a provider of animal care services founded on June 23, 1911. Mars is headquartered in McLean, Virginia, in the Washington metropolitan area, and is entirely owned by the Mars family.
10,001+
Employees
McLean
Headquarters
$50B
Valuation
Reviews
1 reviews
3.1
1 reviews
Work-life balance
3.0
Compensation
2.5
Culture
3.0
Career
3.5
Management
3.0
55%
Recommend to a friend
Pros
Apprenticeship opportunities in Innovation Banking
Career pathway to Investment Banking/Venture Capital
Graduate program structure
Cons
Below-expected base salary (€50K)
Compensation not meeting salary aspirations
Lower than market rate pay
Salary Ranges
371 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Engineer
1 reports
$149,500
total per year
Base
$115,000
Stock
-
Bonus
-
$149,500
$149,500
Interview experience
2 interviews
Difficulty
3.5
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview
6
Offer
Common questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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