לוח משרות דרושים מנהל מחלקת Data משרה מלאה, לחיפוש זה נמצאו 13 משרות

Were looking for a Director of Data to lead our evolving Data organization. This is a unique opportunity for an experienced technical leader who thrives at the intersection of leadership and execution. In this role, youll shape the future of our data platform and infrastructure while remaining closely connected to the technology, architecture, and innovation that drive our business forward.
Why Join Us:
Lead a strategically important Data organization during a transformative phase of growth and evolution.
Shape the technical vision, operating model, and future direction of Data Engineering and Data Infrastructure.
Work hands-on with modern data technologies, AI-driven workflows, and emerging platforms while operating at a senior leadership level.
Influence critical company-wide initiatives and partner closely with leaders across R&D, Product, Finance, Support, and GTM.
Join a culture that values ownership, technical excellence, continuous learning, and meaningful impact.
Key Responsibilities
Lead our Data organization in its next phase, driving a lean, high-performing, and highly technical operating model.
Own the technical vision, architecture, and execution across Data Engineering and Data Infrastructure.
Directly manage and mentor a multidisciplinary team, fostering growth, accountability, and engineering excellence.
Provide strong hands-on technical leadership, guiding architectural decisions, reviewing designs, and driving execution on critical initiatives.
Partner with stakeholders across the organization to deliver scalable data products and platforms that support business and product needs.
Drive modernization of our data ecosystem, balancing proven data technologies with emerging approaches in AI, automation, and modern data platforms.
Lead strategic initiatives involving critical infrastructure, platforms, and investments, ensuring scalability, reliability, and operational efficiency.
Champion best practices in data engineering, platform reliability, observability, and operational excellence.

This is a unique opportunity to build and lead a strategic Data & AI capability within a leading consulting firm, shaping its vision, offerings, team, and market presence. The role combines business leadership, solution architecture, and client engagement, helping organizations leverage modern Data & AI platforms to drive transformation and innovation.
Job description
Lead and expand Databricks practice, including strategy, capability development, team growth, and go-to-market initiatives.
Design and oversee enterprise-scale Data & AI solutions, including Lakehouse architectures, data modernization programs, and AI-driven platforms.
Build trusted relationships with senior stakeholders, lead business development efforts, and drive complex technology engagements.
Lead the successful delivery of large-scale Data & AI projects while mentoring and developing high-performing teams.

LiveU is the global leader in live streaming and remote production, delivering high-quality, low-latency live broadcast solutions worldwide. We generate and process massive volumes of real-time device telemetry, operational data, and business metrics. We are looking for an experienced, hands-on Director of Data & AI join our Information Systems Department . In this role, you will define and drive our enterprise Data, Analytics, and AI roadmap. In this role, you will bridge strategic vision with technical execution- building a scalable cloud data platform, operationalizing production-grade AI, and driving company-wide AI adoption to create measurable business impact. Reporting to VP MIS Location : Kfar Saba (hybrid) Key Responsibilities : AI Enablement & Adoption: Lead company-wide AI literacy, change management, and adoption of GenAI tools (Copilot, ChatGPT Enterprise, custom agents) across R&D, Sales, Support, and Finance. Modern Data Platform: Architect and scale LiveU’s cloud data warehouse, unifying real-time device telemetry with enterprise systems and LivuU product (Salesforce, Priority ERP, AWS, and more). Applied AI & MLOps: Drive AI/ML initiatives from POC to production deployment (predictive models, RAG architectures, and AI agent workflows). Governance, Security & FinOps: Enforce data quality, security (GDPR, SOC 2), and AI guardrails while optimizing cloud compute and licensing costs. BI & Self-Service Analytics: Deliver executive-level dashboards and self-service BI capabilities for faster, data-driven decision-making. Leadership: Lead and mentor a team of data & AI engineers and analysts, fostering a culture of technical excellence and ownership.

Required VP Data
The Role:
We believe better decisions compound.
A better attribution model changes where we invest.
Better customer economics change how we grow.
Better measurement unlocks entirely new business models.
As we grow into a group of consumer brands, those decisions become more important - and more complex.
That's why we're hiring this role.
We're looking for someone who can help us build a better business through numbers.
Not by building dashboards.
By helping us answer questions like:
Where should we invest the next dollar?
Are we measuring marketing correctly?
Is our attribution model helping us - or holding us back?
Which customers are far more valuable than we realize?
How should multiple brands change the way we think about LTV?
Should we rethink pricing? Bundles? Subscriptions? Media strategy?
Where is the next $100M hiding?
You'll work directly with the CEO and leadership team on some of the biggest decisions in the company.
What You'll Do:
Own the frameworks behind our biggest business decisions.
Lead how we measure growth, marketing performance, customer economics and profitability.
Rethink attribution, incrementality, media measurement and capital allocation.
Identify growth opportunities across products, brands, pricing and customer behavior.
Partner closely with Marketing, Product, Finance and Operations to improve decision-making across the company.
Lead our Business Analytics team, making sure every team has the data, tools and insights they need to make better decisions.
Turn analysis into action.

Were growing and looking to hire a Director of Data & AI who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Company:
A global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. Were a fast-growing, award-winning team where innovation meets purpose-and we want you to help us define the future of cybersecurity.
Our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all our products, delivering deep visibility across CPS environments-without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.
About the Role:
We are seeking a visionary Director of Visibility to lead our core technology engine. This is a highly unique role that demands both top-tier professional expertise in cybersecurity research and the ability to seamlessly integrate Data Science and AI in a precise, highly productive manner. We have ambitious visibility goals that require uncompromising accuracy. Your mission is to combine precise, in-depth professional understanding of Cyber-Physical Systems (CPS/XIoT) with the immense scale and capabilities of AI. You will lead a multidisciplinary group comprising Data Science, Network/Protocol Research, and Asset Classification teams to revolutionize how we discover, classify, and secure critical assets across industrial (OT) and healthcare (IoMT) environments.
Responsibilities
As a Director of Data & AI your impact will be:
Multidisciplinary Leadership: Manage, mentor, and synchronize three distinct teams (Data Science, Network Research, and Asset Classification), ensuring cross-functional synergy and unified product delivery.
Scaling Accuracy with AI: Architect our visibility solutions to achieve unparalleled precision. Blend deep professional domain knowledge with advanced ML to scale asset discovery without sacrificing the exactness required in critical infrastructure.
Feature Engineering & Parsing: Oversee the translation of obscure, undocumented industrial and medical protocols into actionable features for our AI models.
Cross-Department Collaboration: Work closely with various data groups, product management, and R&D teams to translate network visibility into actionable risk management, segmentation, and threat detection policies.
Advanced Data Fusion & Collection Strategy: Manage diverse collection techniques (passive, active, and integrations), and architect how to fuse information for every single device at the scale of AI-bridging applications, algorithms, LLMs, and beyond.