100+ positions for Unilever’s major transformation project in data & analytics

Project details:

Unilever is the world’s largest consumer goods company with 400 brand names in 190 countries with over 155,000 employees worldwide.

Unilever Logo

Location: UK, India, USA, Canada, Thailand, Vietnam, China, Brazil, Singapore, Argentina, Mexico and the Netherlands.
Type of project: Project RPO
Size of the project: 300+ hires
Timeframe: Start June 2021 - ongoing
Functions: Data & Analytics, Technology Applications and Procurement
Lives changed: 300

The Brief:

Unilever is embarking on an exciting transformation to become a Data Intelligent organisation, where every decision is driven by top-notch data and cutting-edge analytics (AI/ML), propelling their growth and boosting productivity.

To support this vision, the Human Resources team has enlisted our expertise to manage project hiring across their multiple divisions. Our goal is to help them meet their annual gender balance targets on time.

Unilever is passionately dedicated to achieving gender balance throughout the company, with an impressive milestone of having 50% of leadership roles held by women. In the traditionally male-dominated field of Data & Analytics, Technology Applications and Procurement, Unilever has tasked us with helping to enhance gender diversity and ensure unbiased hiring practices.

In our proposal to Unilever, we tailored a creative outsourcing recruitment strategy that prioritises Diversity & Inclusion (D&I). Our comprehensive solution spans key regions including the UK, India, USA, Canada, Thailand, Vietnam, China, Brazil, Singapore, Argentina, Mexico and the Netherlands, aligning perfectly with Unilever's ambitious goals.

The Solution:

We swiftly assembled a specialised team comprising an Account Director, Account Manager, and Talent Acquisition Partners, supported by a global Shared Service centre. Together, we rephrased and reformatted job ads to ensure gender-neutral descriptions. Leveraging our salary benchmarking, competitive analysis, and market insights, we devised the most effective strategy to attract top talent.

As part of our collaboration on their global talent acquisition strategy, we launched a LinkedIn campaign targeting women in data. This campaign featured inspiring videos of female leaders at Unilever sharing their experiences, accompanied by relevant job ads. Additionally, we established a talent pipeline program for high-potential candidates, providing them with the necessary training to qualify for Unilever roles. 

Currently, we launched a DE&I 5-part video series, celebrating our successful three-year journey. This campaign reflects on the significant impact we have had on both Unilever and personal lives, highlighting our achievements and growth over the years. Click here to see the videos.

LinkedIn Campaign:

LinkedIn campaign: Onyeka DMello

LinkedIn campaign: Neha Singh

The Impact:

  • 300+ professionals hired
  • 66% of female candidates at shortlisting and 63% at the hiring stage
  • Satisfaction Rate: 4.5/5 Candidate and 4.7/5 Hiring Manager 
  • Average Time: 6 Days to CV send and 30 Days to Offer

Client Testimonial:

“It has been a pleasure working with the Page Outsourcing team, they adapted super quickly to a very complex organisation like Unilever, they learnt fast the Unilever ways and they demonstrated excellence at hiring. They not only delivered on all KPIs, they went over and above to support us on a very large, first-ever Global Women in Data Campaign, delivering valuable work and insights and bringing amazing talent to the team. Thank you!"

- Global DE&I Program Lead, Unilever

"WOW just WOW! It must be a RECORD of some sort in Unilever to be able to fill/present offers on 10 out of the 12 roles in 8 weeks! It has taken this small but mighty army to bring forward talent and lock the best in such a short time and I truly thank you for your time, patience, and sense of urgency. Thank you to everyone."

- Head of Data & Analytics, North America, Unilever

Get in touch with our expert

  Alex Hall

  <<Read Alex's profile>

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