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Mars
Mars

Global food and pet care company

Royal Canin AI Capability Lead, North Europe at Mars

RoleMachine Learning
LevelLead
LocationDNK-Capital-Copenhagen
WorkOn-site
TypeFull-time
Posted1 day ago
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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

  • Develop and execute the AI strategy for the North Europe cluster, ensuring alignment with overall business objectives.

  • Own the AI agenda end-to-end - building the pipeline, driving it through the business, and turning ideas into scaled impact

  • Shift AI from experimentation to execution - embedding it into how we work, make decisions, and run core processes

  • Create pace, focus and accountability - making sure the right things get prioritised, delivered, and actually stick

  • Build capability and shift mindset across the organisation - making AI practical, usable and part of everyday thinking, not a specialist topic

  • 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

  • Establish and own the governance, processes, and metrics to measure the success and impact of AI initiatives.

Job Specifications/Qualifications

  • Higher degree in a quantitative field like Computer Science, Data Science, Engineering, or a related business field with a strong technology focus.

  • Excellent English skills are required.

  • Significant prior experience in a senior role leading AI, data science, or digital transformation initiatives.

  • Proven track record of building and leading high-performing teams and developing technical capabilities.

  • Demonstrated experience in delivering and scaling end-to-end AI use cases with measurable business impact.

  • Strong business acumen and ability to translate business problems into AI/ML solutions.

  • Excellent change management, project management, and stakeholder influencing skills.

What can you expect from Mars & Royal Canin?

  • An industry competitive salary and benefits package, including company bonus.

  • Pensions

  • An industry competitive salary and benefits package

  • Affordable workplace lunches

  • Fitness allowance and free access to Gym at workplace

  • A modern and pet friendly office environment.

  • Comprehensive safety and well-being benefits, including life insurance, health insurance, and Employee Assistance Program.

  • On-line shop with attractive discounts on our products that your family and friend are going to love.

  • Possibility to participate in volunteering initiatives during working hours.

  • Work with diverse and talented Associates, all guided by the Five Principles.

  • Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.

  • 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

Mars

Bootstrapped

Mars, 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