לוח משרות דרושים בירושלים וסביבתה

we are looking for a Robotic Startup Specialist.
Responsibilities may include the following and other duties may be assigned:
As a start-up specialist you will be responsible for the successful integration of our HUGO RAS-system into a hospital. This might be an expansion of a current robotic surgery program, the creation of a new robotic surgery program or a shift from another platform to our HUGO RAS-system. The main activities of a start-up specialist include:
Meet with the robotic program stakeholders and develop program goals and metrics for HUGO RAS-system. Conduct regular program review meetings to remain on-track.
Develop a surgeon training plan, coordinate attendance at off-site training and arrange for proctored cases post-training as needed.
Develop a training plan to support staff to include attendance at a off-site training class and support staff through their learning curve.
Support the technology adoption by attending to cases during a surgeon and staff members learning sessions.
Utilize change management techniques to engage clinical stakeholders and attain buy-in.
Coach hospitals staff to promote skill transfer and achieve self-sufficiency in operational excellence.
Cooperate with field service engineer (FSE) and the hospital staff to prepare the operating room to host the HUGO RAS-system.
R60201

Welcome to Chargeflow Chargeflow is building the operating system for chargeback management. We help merchants automatically fight and recover disputed payments, reducing revenue loss and operational overhead. Our platform processes large volumes of payment and dispute data across merchants, payment processors, and financial systems. As Chargeflow scales its platform and customer base, data becomes one of the company’s most strategic assets - powering better products, smarter decisions, and operational efficiency.
Who We're Looking For - The Dream Maker We are looking for a Head of Data Analytics to build and lead the company’s data platform and data strategy. The Head of Data will own Chargeflow’s entire data platform, research, and data strategy This includes building the data infrastructure that powers the company, establishing reliable company-wide metrics, enabling data-driven decision making, and turning Chargeflow’s dispute and payments data into a long-term product advantage. This is a foundational leadership role responsible for making data a core capability across the organization. The Head of Data Analytics will work closely with Product, Engineering, Operations, and Leadership to ensure data becomes a central part of how the company builds products and runs the business. ?Your Arena ?Data Platform and Architecture - Design and lead the development of Chargeflow’s modern data infrastructure:
* Building scalable data pipelines across product, payments, disputes, and internal systems
* Developing a centralized data warehouse as the company’s single source of truth
* Ensuring data quality, reliability, and observability
* Establishing data governance and best practices Company Metrics and Decision Intelligence - Define and standardize the core metrics used across the company:
* Establishing a consistent metrics framework across product, revenue, and operations
* Building dashboards used by leadership and operational teams
* Ensuring reliable and accessible reporting across the organization
* Supporting data-driven decision making at the leadership level Product Data and Insights - Partner with Product and Engineering to leverage Chargeflow’s unique dispute and payment data:
* Identifying patterns and insights across disputes and recovery performance
* Enabling data-driven product development
* Supporting predictive capabilities and automation in dispute management
* Helping build product features powered by data insights Operational Intelligence - Provide visibility and insights into dispute operations and business performance:
* Building operational analytics dashboards
* Supporting forecasting and capacity planning
* Identifying automation opportunities
* Improving operational performance through data insights Building the Data Organization - Build and lead the company’s data team:
* Hiring and managing data engineers, analytics engineers, and analysts
* Establishing strong data culture and best practices
* Enabling teams across the company to use data effectively
* Ensuring data privacy, security, and governance standards What Success Looks Like - Within the first 12–18 months:
* Chargeflow operates from a trusted company-wide data platform
* Leadership and teams rely on consistent and reliable metrics
* Product teams leverage dispute data to build data-powered features
* Operational performance becomes clearly measurable and optimized
* A strong Data organization is established and growing