Shachar Meir

Avihay Nathan

Senior Vice President, Head of AI, Data & Research

Cyberark

When I joined Cyberark as SVP AI, Data & Research, I immediately knew I needed to unify the company's data strategy. We had multiple teams approaching this from different angles. We needed an expert assessment of the situation and someone who can guide us and bring everyone together. Shachar was instrumental in this process. As an advisor he interviewed many stakeholders around the company at all levels, gave us a complete assessment of the situation with clear recommendations, and helped us agree on a unified strategy. Shachar's approach was hollistic, he looked at technology, people, organization, and our operating model, to make sure that whatever we build is set for success.

Enzo Blindow

VP Data and AI

Prolific

I brought Shachar in as an advisor while building out the data org at Prolific. The challenge is specific: at Prolific, data isn't just infrastructure, it's the product. We needed a strategy and org that could support explosive growth without becoming a bottleneck, one that actually leveraged our data assets rather than just managed them. What made Shachar useful wasn't that he came with a playbook. He starts from business outcomes and works backwards: org design, operating model, leadership structure, how decisions should flow. He brings deep pattern recognition from operating at scale, which means he gets to the right questions fast regardless of the business context, and the recommendations land as specific and actionable rather than generic best practices. If you're a data leader trying to build something durable rather than just ship something fast, Shachar's worth the conversation.

Michael Whitelegge

Director of Data Engineering

Meta

Having worked closely with Shachar since 2018, I can highly recommend him with first hand knowledge of his ability to put Data Engineering into the heart of business decision making with a robust balance between hands on technical capability and organisational leadership and strategy. Shachar performed a Data Engineering site leadership role for Meta's London operation, supporting and guiding the growth of the function covering a wide range of Meta's product portfolio.

Shahaf Almagor

VP Data and Analytics

Payoneer

I joined Payoneer last year to lead the Data and Analytics department. It was clear that we needed to make a lot of changes, and I needed a strong advisor to help me with this process. Shachar helped at every aspect of this transformation: doing the gap analysis, planning, leadership presentations and buy-in, and helping execute this transformation. This transformation was risky, and there were a lot of decisions we needed to get right, from modernizing our platforms, innovating and adopting new technologies, building our AI/ML teams, thinking through people and organizational structures, etc. Shachar has been involved at every critical juncture along the way. His support made it a lot smoother and helped us pre-empt many potential issues.

Ana Korsunova

Director of Business Analytics

Native Instruments

NI was fortunate to have Shachar as data advisor to support the newly created data team. Shachar helped NI to create a framework defining and capturing growth drivers for our flagship. I am impressed by Shachar's speed of onboarding and understanding the very complex NI group business, combining different monetisation models, distribution channels, numerous product groups, etc. Shachar is very good at navigating the organisation, building and maintaining business relationships with all levels of stakeholders (from individual contributors up to the CEO) gaining respect from all involved stakeholders. Shachar has an ability to view things from both data and all round business perspectives which makes him a great strategic partner.

Tal Ravid

VP Data and Analytics

Armis

Shachar worked with us as an advisor when where we needed to pivot our data strategy. Me and my team loved working with him. His approach was very pragmatic, always seeing the bigger picture and starting from business outcomes. Shachar has been able to take our biggest business painpoints, and turn them into a data strategy that not only would solve them, but that was also robust enough to build future solutions on top.