Data productivity specialist Matillion has appointed Tamar Elan as chief people officer.
Matillion became Manchester鈥檚 latest unicorn in 2021 when a 拢108m Series E fundraise valued the business at 拢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聽 co-founder and CEO, Matthew Scullion, said: 鈥淢atillion 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鈥 best interests.
鈥淭amar 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.鈥
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: 鈥淢atillion 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.
鈥淚n 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.
鈥淢atillioners are some of the brightest minds in the industry, and I am excited to be part of this amazing team.鈥
Matillion鈥檚 customers include Western Union, FOX, Sony, Slack, National Grid, and Cisco to transform raw data into an analytics-ready asset.


