Data Infra Tech Lead

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8220200

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05/06/2025

Staff Data Engineer, Group Tech Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of our companys data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives our company toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
In this role youll
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across our company to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization.

Requirements:
8+ years of experience in data-related roles such as Data Engineer, Data Infrastructure Engineer, BI Engineer, or Machine Learning Platform Engineer, with significant experience in at least two of these areas
A B.Sc. in Computer Science or a related technical field (or equivalent experience)
Extensive expertise in designing and implementing Data Lakes and Data Warehouses, including strong skills in data modeling and building scalable storage solutions
Proven experience in building large-scale data infrastructures, including both batch processing and streaming pipelines
A deep understanding of Machine Learning infrastructure, including tools and frameworks that enable Data Scientists to efficiently develop, deploy, and maintain models in production, an advantage
Proficiency in Python, Pulumi/Terraform, Apache Spark, AWS, Kubernetes (K8s), and Kafka for building scalable, reliable, and high-performing data solutions
Strong knowledge of databases, including SQL (schema design, query optimization) and NoSQL, with a solid understanding of their use cases
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.

This position is open to all candidates.

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8206357

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08/06/2025

Data & AI Architect

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team. We are looking for a Data & AI Architect.
Responsibilities:
Build the foundations of modern data architecture, supporting real-time, high-scale (Big Data) sports data pipelines and ML/AI use cases, including Generative AI.
Map the companys data needs and lead the selection and implementation of key technologies across the stack: data lakes (e.g., Iceberg), databases, ETL/ELT tools, orchestrators, data quality and observability frameworks, and statistical/ML tools.
Design and build a cloud-native, cost-efficient, and scalable data infrastructure from scratch, capable of supporting rapid growth, high concurrency, and low-latency SLAs (e.g., 1-second delivery).
Lead design reviews and provide architectural guidance for all data solutions, including data engineering, analytics, and ML/data science workflows.
Set high standards for data quality, integrity, and observability. Design and implement processes and tools to monitor and proactively address issues like missing events, data delays, or integrity failures.
Collaborate cross-functionally with other architects, R&D, product, and innovation teams to ensure alignment between infrastructure, product goals, and real-world constraints.
Mentor engineers and promote best practices around data modeling, storage, streaming, and observability.
Stay up-to-date with industry trends, evaluate emerging data technologies, and lead POCs to assess new tools and frameworks especially in the domains of Big Data architecture, ML infrastructure, and Generative AI platforms.

Requirements:
At least 10 years of experience in a data engineering role, including 2+ years as a data & AI architect with ownership over company-wide architecture decisions.
Proven experience designing and implementing large-scale, Big Data infrastructure from scratch in a cloud-native environment (GCP preferred).
Excellent proficiency in data modeling, including conceptual, logical, and physical modeling for both analytical and real-time use cases.
Strong hands-on experience with:
Data lake and/or warehouse technologies, with Apache Iceberg experience required (e.g., Iceberg, Delta Lake, BigQuery, ClickHouse)
ETL/ELT frameworks and orchestrators (e.g., Airflow, dbt, Dagster)
Real-time streaming technologies (e.g., Kafka, Pub/Sub)
Data observability and quality monitoring solutions
Excellent proficiency in SQL, and in either Python or JavaScript.
Experience designing efficient data extraction and ingestion processes from multiple sources and handling large-scale, high-volume datasets.
Demonstrated ability to build and maintain infrastructure optimized for performance, uptime, and cost, with awareness of AI/ML infrastructure requirements.
Experience working with ML pipelines and AI-enabled data workflows, including support for Generative AI initiatives (e.g., content generation, vector search, model training pipelines) or strong motivation to learn and lead in this space.
Excellent communication skills in English, with the ability to clearly document and explain architectural decisions to technical and non-technical audiences.
Fast learner with strong multitasking abilities; capable of managing several cross-functional initiatives simultaneously.
Willingness to work on-site in Ashkelon once a week.
Advantage:
Experience leading POCs and tool selection processes.
Familiarity with Databricks, LLM pipelines, or vector databases is a strong plus.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8208147

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05/06/2025

Senior Backend Engineer, Data Infrastructure

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As part of the Data Infrastructure team, youll help build our companys data platform for our growing stack of products, customers, and microservices.
Our platform ingests and processes data from operational databases, telematics, and diverse product sources. Youll build robust backend services and data processing pipelines, leveraging state-of-the-art frameworks and cloud-native solutions, all while collaborating with Data Engineers, ML Engineers, Analysts, and Product Managers to turn real-world needs into resilient systems.
In this role youll
Design & Develop Backend Services: Lead the design and implementation of backend systems and APIs for our distributed data platform
Build Data Ingestion & Processing: Architect and develop scalable ingestion pipelines with streaming ETL, Change Data Capture, and large-scale batch and stream processing
Own Data Platform Infrastructure: Implement and optimize scheduling, workflow orchestration, and data governance tools to support high-quality, compliant data flows
Drive Engineering Standards: Establish and promote backend best practices, ensuring high reliability, code quality, and maintainability across the team
Cross-functional Collaboration: Work closely with data engineers, ML engineers, product managers, and analysts to translate business needs into scalable backend systems
Mentorship: Share your backend and infrastructure expertise by collaborating, reviewing, and mentoring fellow engineers.

Requirements:
5+ years of experience as a Backend, Data, or Infrastructure Engineer building large-scale backend systems and data-driven platforms.
B.S. in Computer Science or a similar field
Proven backend development skills with expertise in Python. Additional languages, a plus.
Proven experience with distributed systems, microservices, building and maintaining robust backend APIs
Proficiency with databases (SQL, NoSQL), data modeling, and streaming data architectures.
Ability to work in an office environment a minimum of 3 days a week
Enthusiastic about learning and adapting to the rapidly evolving world of AI and data-driven engineering
Past experience with modern data stacks (e.g., Snowflake, Kafka, Airflow, DBT, Spark), an advantage
Strong understanding of cloud infrastructure and orchestration (preferably AWS, K8s, Terraform/Pulumi), an advantage.

This position is open to all candidates.

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8206374

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לפני 5 שעות

Data Engineer Tech Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Data Engineer Tech Lead, you will play a central role in shaping our data strategy and guiding the team in building and optimizing analytics data pipelines that power business decisions across the organization. Beyond driving complex data initiatives, youll be a hands-on mentor and technical advisor, supporting other data engineers, fostering a culture of collaboration, and ensuring the teams overall growth and success.
Key Responsibilities:
Lead and mentor a team of data engineers, providing technical guidance, support, and regular feedback to enable their growth.
Architect, design, and evolve robust, scalable data pipelines and ETL/ELT processes for diverse structured and unstructured data sources.
Serve as a technical advisor for data best practices across the organization, collaborating with data analysts, data scientists, engineers, and product managers.
Define and evolve analytics-focused data models that empower business stakeholders with timely and reliable data.
Drive initiatives to improve data quality, governance, and observability across the analytics stack.
Act as a bridge between technical and non-technical stakeholders, helping translate business needs into actionable data solutions.
Champion engineering excellence, including code reviews, documentation, and knowledge-sharing.
What your day might look like:
Leading the most complicated data projects our company has to offer Hands on
Supporting other engineers by reviewing code, troubleshooting architecture, and encouraging best practices.
Leading the technical direction of new pipelines or data modeling initiatives.
Meeting with product managers and analysts to align on priorities and define the right data solutions.
Guiding your team through design discussions, trade-offs, and implementation decisions.
Helping the team deliver with high reliability, scalability, and speed.
Driving initiatives that improve the maintainability, observability, and impact of the data platform.

Requirements:
7+ years of experience in data engineering or related roles, with a proven track record of technical leadership and team support.
Expertise in SQL and advanced proficiency in Python for data workflows.
Extensive experience designing and implementing scalable, analytics-ready data models and cloud data warehouses.
Hands-on expertise with data orchestration and transformation frameworks (e.g., Airflow, Luigi, AWS Glue, DBT).
Strong familiarity with cloud data services (e.g., AWS, GCP, Azure).
Demonstrated ability to lead and support teams, communicate effectively, and foster collaboration across functions.
Bonus Points:
Experience mentoring or managing engineers in a fast-paced environment.
Strong understanding of business metrics and how to translate data into strategic insights.
Familiarity with data governance and observability best practices.
Passion for building data culture and driving adoption of data tools across the company.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8220213

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1 ימים

Machine Learning Engineer II - Content Intelligence Team

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. Were the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

Leadership/Team Quote:
The Content Intelligence team builds the Content Intelligence Platform by consuming millions of images and textual inputs every day, and then enriching it with ML capabilities. Eventually, these will serve downstream applications and personalize our customers' experience (think of a way to choose and surface the right images and reviews when customers book their next vacation).
Moreover the team is taking a key role in the new GenAI project - The AI Trip Planner.

Role Description:
Youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, training and deploying content models (Computer vision, NLP and Generative AI) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

דרישות:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.
Minimum of 4 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
Strong programming skills in languages such as Python and Java.
Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.
Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.
Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.
Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.
Deep understanding of machine learning algorithms, statistical models, and data structures.
Experience in deploying large-scale language models like GPT, BERT, or similar architectures - an advantage.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.
Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.
Experience of worki המשרה מיועדת לנשים ולגברים כאחד.

עדכון קורות החיים לפני שליחה

8218710

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26/05/2025

Data Science Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a Data Science Team Lead to join our winning team. This is an opportunity to take a leadership role in building innovative AI products, manage a growing team of algorithm researchers, and have a major impact on the methods, infrastructure, and product capabilities.

Youll lead projects from early research to full production deployment, guiding the development of models, scalable pipelines, and services that power critical features in the platform.

Responsibilities
Lead, mentor, and grow a team of Data Scientists providing both technical leadership and professional development.
Own the full lifecycle of AI projects: from research and prototyping through production-grade deployment and monitoring.
Design and oversee the development of scalable ML pipelines, model serving infrastructure, and robust data workflows in collaboration with software engineering and product teams.
Drive initiatives to deliver LLMs and other AI models as production-grade services within the organization.
Partner cross-functionally with product managers, clinical experts, and engineers to translate business needs into AI-driven features.
Guide research in NLP, NLU, and Deep Learning domains, staying at the forefront of industry developments and incorporating new methods where applicable.
Maintain a high standard of technical execution within the team, fostering a culture of ownership, quality, and innovation.
Communicate technical findings, project status, and strategic recommendations clearly to technical and non-technical stakeholders.

Requirements:
Requirements:
B.Sc and M.Sc in Computer Science, Engineering, Bioinformatics, or a related analytical field.
4+ years of hands-on experience with Machine Learning, Deep Learning, and NLP algorithms, with at least 2+ years in a leadership or technical mentorship role.
High proficiency in Python, with a strong foundation in software engineering best practices.
Demonstrated experience building and deploying end-to-end data science solutions at scale, including model serving, API development, and monitoring.
Solid understanding of NLP methodologies such as language modeling, embeddings, Question Answering, Reading Comprehension, etc., or equivalent experience in related Deep Learning domains.
Hands-on experience designing scalable ML pipelines and model deployment architectures (batch and real-time).
Team player with excellent communication skills and a passion for mentoring others.

Advantages:
Ph.D. in Computer Science, Engineering, or a related field.
Experience working with cloud environments and infrastructure (AWS, Docker, Kubernetes).
Experience developing and deploying LLM-based solutions in production environments.
Familiarity with MLOps best practices and tools (e.g., SageMaker, Annotation tools, Experiment management tools).

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8193518

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2 ימים

BackEnd Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a highly skilled and experienced BackEnd Team Lead to join our dynamic team in Tel Aviv. In this pivotal role, you will oversee the design, development, and optimization of our infrastructure, ensuring efficient flow and quality to support data-driven decision-making across the organization. You will lead a team of backend developers and data engineers, collaborate with cross-functional teams, and drive initiatives to enhance our data collection and data pipeline capabilities.
Key Responsibilities:
Lead and oversee a team of BackEnd and Data Engineers, mentor the team members, fostering skill development and professional growth
Establish and enforce data quality standards, implementing processes for data accuracy, reconciliation, and consistency.
Oversee the design and implementation of robust ETL processes to ensure accurate and timely data integration from various sources.
Collaborate across the business with various stakeholders, such as the CTO, Data Analysts and Product Managers to deliver impactful solutions
Continuously monitor and optimize system flows for performance, scalability, and cost-efficiency.

Requirements:
At least 7 years of experience in backend or data engineering, with a minimum of 3 years in a team lead role.
Experience with development, deployment and automation on AWS - S3, SNS, lambda, batch, dynamo, RDS etc.
Expertise in advanced SQL, including writing complex, efficient queries and building optimized datasets.
Proficient in Python and Python-based data tools.
Working with micro-services on K8S
Proven track record of delivering large-scale, high-quality products
Independent, autodidact with excellent problem solving and passion to learn cutting-edge technologies
Proven ability to lead and mentor a team, manage projects, and collaborate effectively with cross-functional teams.
Outstanding interpersonal skills
Advantage:
Experience in building data stream pipelines and ETL using Big Data frameworks such as Spark and Apache Airflow
Experience with Serverless frameworks
Experience with streaming technologies such as Amazon Kinesis and Apache Kafka.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8217961

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05/06/2025

Senior MLOps Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Senior MLOps Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Requirements:
To thrive in this role, youll need:
Experience developing large scale systems. Experience with filesystems, server architectures, distributed systems, SQL and No-SQL. Experience with Spark and Airflow / other orchestration platforms is a big plus.
Highly skilled in software engineering methods. 5+ years experience.
Passion for ML engineering and for creating and improving platforms
Experience with designing and supporting ML pipelines and models in production environment
Excellent coding skills in Java & Python
Experience with TensorFlow a big plus
Possess strong problem solving and critical thinking skills
BSc in Computer Science or related field.
Proven ability to work effectively and independently across multiple teams and beyond organizational boundaries
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
Strong communication skills to be able to present insights and ideas, and excellent English, required to communicate with our global teams.
Bonus points if you have:
Experience in leading Algorithms projects or teams.
Experience in developing models using deep learning techniques and tools
Experience in developing software within a distributed computation framework.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8205356

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שליחה

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אירעה שגיאה בשליחת פרטיך למשרה

28/05/2025

Platform Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Platform Team Lead at our company, you will lead a critical cross-functional team focused on building and evolving the core infrastructure that powers our Big Data, Marketing Tech, CRM, and Data Science initiatives.
You will drive technical strategy, mentor engineers, and work closely with R&D, Product, and Data Science teams to deliver high-performance, scalable, and innovative platform solutions.
What You'll Be Doing
Lead and grow a high-performing platform engineering team.
Design, develop, and maintain scalable backend systems, ensuring stability, performance, and operational excellence.
Build core services and infrastructure that enable Marketing, Data Science, CRM, and Engineering teams to move faster and smarter.
Drive platform initiatives around Big Data processing, event-driven architectures, and distributed systems.
Partner with stakeholders across the company to understand evolving business needs and translate them into technical solutions.
Champion innovation by evaluating and integrating new technologies, frameworks, and practices that elevate our product and internal capabilities.
Maintain a high bar for code quality, security, and scalability.
Provide hands-on technical leadership guiding design, code reviews, and system architecture discussions.
Foster a culture of learning, collaboration, and continuous improvement.

Requirements:
6+ years of experience in backend development using Python, Java, or a similar language.
3+ years of experience leading technical teams.
Expertise with relational databases (e.g., PostgreSQL, MySQL) and NoSQL/datastore systems (e.g., MongoDB, Redis).
Strong understanding of cloud infrastructure (AWS, GCP) and container orchestration technologies (e.g., Docker, Kubernetes).
Hands-on experience with building systems that support Big Data, analytics pipelines, or event-driven architectures a strong advantage.
Familiarity with CRM platforms, MarTech systems, or Data Science tooling a plus.
Deep understanding of software design principles, distributed systems, testing methodologies, and CI/CD best practices.
Excellent interpersonal skills with a proven ability to collaborate cross-functionally.
Passion for innovation, experimentation, and pushing the limits of technology.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8196425

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מייל

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שליחה

תודה על שיתוף הפעולה

מודים לך שלקחת חלק בשיפור התוכן שלנו :)

המשרה נמחקה

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אירעה שגיאה בשליחת פרטיך למשרה

05/06/2025

Head of Data

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced and talented Head of Data to join our leadership team in Israel. This is a strategic senior role, reporting directly to the local CEO, with full ownership of the Data pillar. Youll lead a multidisciplinary team of Analysts, Data Engineers, and Data Scientists, managing high-impact, cross-functional projects that support key business goals.
Beyond team leadership, you'll shape how data is used across the organization from building the right infrastructure and tools to unlocking insights that drive decisions. Working closely with senior stakeholders, youll turn complex business needs into practical data solutions, influence product direction, and stay hands-on with real technical challenges. Youll work directly with cutting-edge technologies like BigQuery, Python, machine learning (ML), web scraping, and large language models (LLMs) to drive innovation and enable data-driven decision-making across the company. This is a rare opportunity to combine strategic impact with daily technical depth in a dynamic, fast-moving environment.
Key Responsibilities:
Lead and manage the Data pillar in Israel, including a multidisciplinary team of Analysts, Data Engineers, and Data Scientists.
Be hands-on in solving complex data challenges and contributing directly to core data initiatives.
Oversee end-to-end delivery of cross-organizational data projects.
Collaborate closely with various departments including Marketing, Finance, Sales, and senior management.
Partner with global data teams across the organization.
Own the local data infrastructure, data quality, and analytical and operational processes.
Champion a data-driven mindset and foster collaboration around data.

Requirements:
Proven experience managing data teams required.
Hands-on experience with SQL required.
Experience with data visualization tools (preferably Tableau) required.
Strong leadership and project management skills, with the ability to manage complex cross-functional initiatives.
Strategic thinking and the ability to translate business needs into effective data solutions.
High level of English required (for collaboration with international teams).
Ability to navigate corporate organizational structures a significant advantage.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8205193

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