Data productivity specialist Matillion has appointed Tamar Elan as chief people officer.
Matillion became Manchester’s latest unicorn in 2021 when a £108m Series E fundraise valued the business at £1.23bn ($1.5bn).
Prior to joining Matillion, Elan was the EVP of People at Versatile and Walkme (NASDAQ: WKME) and previously held senior HR leadership roles at Nova Measuring Instruments.
Matillion’s co-founder and CEO, Matthew Scullion, said: “Matillion is, and always will be, a people-focused company. As we continue to grow, it is critical that we remain focused on driving our people initiatives and prioritising our team members’ best interests.
“Tamar brings an energy and vision that will fuel the expansion and evolution of our amazing culture. She is a great addition to #TeamGreen and will help lead our people-focused teams and strategies through this next phase of growth.”
Matillion unlocks the data supply chain, allowing enterprise data teams to work together to source, enrich and share data which may be coming in from more than 1,000 sources.
Elan has extensive experience building and scaling global teams while maintaining their unique culture at global, high-growth organisations, ranging from early-stage startups to public companies.
She brings deep knowledge in designing people strategies, attracting and building talent and leadership capabilities, organisational design, and change management processes.
Elan said: “Matillion has built and is growing an incredible business by enabling data teams to get business-ready data, faster, and Matillioners – our people – have been core to that success.
“In order for Matillion to continue its focus on helping modern data teams, we need to maintain our own strong foundation by empowering our people to do their best work in a supportive culture built on teamwork and empathy.
“Matillioners are some of the brightest minds in the industry, and I am excited to be part of this amazing team.”
Matillion’s customers include Western Union, FOX, Sony, Slack, National Grid, and Cisco to transform raw data into an analytics-ready asset.