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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
8+ years of experience in Data Engineering, Data Platform, Data Infrastructure, or related technical domains.
3+ years of engineering leadership experience, including direct people management and ownership of strategic technical initiatives.
Strong hands-on expertise designing, building, and operating large-scale data platforms and distributed systems.
Deep understanding of modern data architectures, including data warehouses, data lakes, data pipelines, orchestration frameworks, and cloud-based platforms.
Proven ability to lead technical direction while remaining actively involved in architecture and implementation discussions.
Experience managing multidisciplinary engineering teams across Data Engineering, Infrastructure, Platform Engineering, or related functions.
Strong stakeholder management and communication skills, with experience partnering across technical and business organizations.
Demonstrated ability to drive cross-functional initiatives and influence outcomes in complex environments.
A passion for innovation and continuous learning, with a strong interest in AI, automation, and the future of data platforms.
Preferred Qualifications (Nice to Have)
Experience leveraging AI, GenAI, LLM-based tools, or AI-assisted development workflows in engineering organizations.
Experience leading organizational or operational transformations within data teams.
Background in high-growth B2B SaaS companies.
Hands-on experience with technologies such as Snowflake, Databricks, Airflow, Kafka, dbt, or similar modern data tools.
Familiarity with DataOps, platform engineering, infrastructure automation, and observability practices.
Experience supporting business domains such as Finance, Customer Support, Revenue Operations, GTM, or Business Intelligence.
This position is open to all candidates.
 
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סוג משרה: משרה מלאה
מנהל /ת פרויקטי data & AI עבור ארגון פיננסי גדול במרכז הארץ
התפקיד כולל עבודה עם צוותי פיתוח data Engineering, backend ו- DevOps, הובלת פרויקטי data & AI מורכבים מקצה לקצה, ניהול תהליכי פיתוח משלב האפיון ועד להטמעה, בניית תוכניות עבודה, ניהול לוחות זמנים ותעדוף משימות, עבודה מול ממשקים עסקיים וטכנולוגיים ועוד.
דרישות:
- 3-5 שנות ניסיון בניהול פרויקטי פיתוח טכנולוגיים
- ניסיון בהובלת פרויקטים מורכבים ומרובי ממשקים
- ניסיון בעבודה מול צוותי פיתוח והבנה בארכיטקטורה, תהליכי פיתוח ו-APIs
- ניסיון בעבודה במתודולוגיות Agile/Scrum/Kanban
- ניסיון בעבודה עם Jira / Azure DevOps או כלים דומים המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
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.
Requirements:
What you need to succeed in this role:
Experience: 7-10+ years of proven experience in network security, cybersecurity research, or data science, with a significant focus on complex networking environments.
Leadership: Demonstrated experience managing R&D, Research, or Data Science groups (e.g., Head of Research, Director of Data Science).
Technical Background: Strong engineering foundation with hands-on experience in reverse engineering, deep packet inspection (DPI), or "black-box" system analysis.
Data & AI Literacy: Deep understanding of the end-to-end Machine Learning lifecycle, data lineage, and the proven ability to leverage AI/ML to scale precise engineering solutions.
Domain Expertise: Familiarity with OT/ICS protocols (e.g., CIP, Modbus) or IoMT protocols (e.g., DICOM), and an understanding of CPS architectural constraints is a major advantage.
Mindset: A highly professional integrator who can speak the languages of data scientists, network engineers, and product managers to foster a collaborative, innovative, and high-performing environment.
This position is open to all candidates.
 
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לפני 6 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
10+ years of experience in Data, Analytics, Cloud, or Enterprise Technology.
At least 5 years of hands-on experience with Databricks.
Strong expertise in modern Data & AI platforms, including Databricks, Spark, SQL, Lakehouse architectures, and cloud technologies (Azure, AWS, or GCP).
Proven experience leading enterprise-scale technology initiatives and managing multidisciplinary teams.
Strong leadership and team-building capabilities, with a track record of developing high-performing professionals.
Excellent presentation, communication, and stakeholder management skills, including engagement with C-level executives.
Strong business acumen with the ability to translate technology capabilities into business value and growth opportunities.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
Who You Are
You're a business builder who happens to think in numbers.
You have significant experience in performance marketing, growth, strategic finance or another highly quantitative commercial role.
You've made real decisions around CAC, LTV, attribution, incrementality, cohorts, media economics and capital allocation.
You enjoy messy business problems more than clean datasets.
You simplify complexity. You challenge assumptions.
You care about impact- not reports.
This position is open to all candidates.
 
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