דרושים » דאטה » Marketing data team leader

We are looking for a highly motivated Data Analytics Team Leader to manage and lead a team of three analysts.

In this role, you will be responsible for driving data-driven decision-making across the organization by initiating and managing data projects, analyzing key metrics, and presenting actionable insights. You will also mentor, develop, and recruit top analytical talent while ensuring the team effectively leverages SQL, BigQuery, and Looker to deliver high-quality analyses.

A day in the life and how youll make an impact:
Lead and manage a team of analysts, fostering a culture of collaboration and continuous learning.
Initiate and oversee data analytics projects to drive business impact.
Perform in-depth data analysis to uncover insights and trends that support strategic decision-making.
Present data-driven insights to senior leadership and key stakeholders.
Mentor, train, and develop analysts, ensuring their professional growth.
Recruit and onboard new analysts to strengthen the team.
Utilize SQL and BI tools (preferably BigQuery and Looker) to extract, transform, and visualize data.
Collaborate with cross-functional teams to align analytics with business needs.

We are looking for a highly skilled and experienced Data Engineering 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.

Joining our SAP practice is an opportunity to take part in the most interesting projects in Israel and abroad and evolve in the most dynamic field today.
What you will do:
Lead the SAP Data & Analytics domain, including building and executing data and BI strategy for clients and the organization.
Oversee the delivery of end-to-end SAP Data projects: architecture, implementation, integration, and ongoing support.
Serve as the primary point of contact for senior management, business leaders, and global stakeholders regarding SAP Data initiatives.
Collaborate with business units, IT, and management to translate business needs into SAP data-driven solutions.
Drive innovation, adoption of advanced SAP and non-SAP data technologies, and continuous improvement in data processes.
Ensure best practices in Data Governance, Data Quality, and Data Security within SAP environments.
Represent the SAP Data practice in client meetings, presentations, and strategic planning sessions.

We are looking for a hands-on data infrastructure and platform engineer with proven leadership skills to lead and evolve our self-service data platform that powers petabyte-scale batch and streaming, near-real-time analytics, experimentation, and the feature platform. Youll guide an already excellent team of senior engineers, own reliability and cost efficiency, and be the focal point for pivotal, company-wide data initiatives- feature platform, lakehouse, and streaming.
Own the lakehouse backbone: Mature Iceberg at high scalepartitioning, compaction, retention, metadataand extend our IcebergManager in-house product to automate the lakehouse management in a self serve fashion.
Unify online/offline for features: Drive Flink adoption and patterns that keep features consistent and low-latency for experimentation and production.
Make self-serve real: Build golden paths, templates, and guardrails so product/analytics/DS engineers can move fast safely.
Run multi-tenant compute efficiently: EMR on EKS powered by Karpenter on Spot instances; right-size Trino/Spark/Druid for performance and cost.
Cross-cloud interoperability: BigQuery + BigLake/Iceberg interop where it makes sense (analytics, experimentation, partnership).
What you'll be doing:
Leading a senior Data Platform team: setting clear objectives, unblocking execution, and raising the engineering bar.
Owning SLOs, on-call, incident response, and postmortems for core data services.
Designing and operating EMR on EKS capacity profiles, autoscaling policies, and multi-tenant isolation.
Tuning Trino (memory/spill, CBO, catalogs), Spark/Structured Streaming jobs, and Druid ingestion/compaction for sub-second analytics.
Extending Flink patterns for the feature platform (state backends, checkpointing, watermarks, backfills).
Driving FinOps work: CUR-based attribution, S3 Inventory-driven retention/compaction, Reservations/Savings Plans strategy, OpenCost visibility.
Partnering with product engineering, analytics, and data science & ML engineers on roadmap, schema evolution, and data product SLAs.
Leveling up observability (Prometheus/VictoriaMetrics/Grafana), data quality checks, and platform self-service tooling.

We are building cutting-edge data solutions, primarily on BigQuery, Databricks and Snowflake and for large scale customers.
Our solutions introduce next level automations and aim for low-code/no-code platforms that allows our customers to deliver fast while we hide all the engineering complexity behind.
If you are not afraid of any engineering task, likes to build cool stuff and enjoy when customers use your craft you belong with us.

As Director of Data & AI, youll own central data organization consisting of three high impact teams (Data Engineering, Data Science, ML/Computer Vision). Youll set the strategy, drive execution, and ensure our data pipelines and AI models deliver world-class, low-latency insights. Youll partner with software and hardware engineering, product, sales, and external partners to expand data and vision capabilities and maintain our leadership in roadside intelligence. Youll ensure that data and AI efforts are aligned with product goals and contribute to broader company impact, from customer value to operational efficiency.



Key Responsibilities

Lead & Mentor: Manage and grow three teams (~ 20 engineers & scientists) across multiple locations (Israel, US, Europe).
Strategic Roadmap: Define and prioritize quarterly roadmap in collaboration with Product and Executive Leadership.
Cross - Functional Alignment: Collaborate with software, hardware, and partner teams to integrate data pipelines and deploy AI models.
Stakeholder Communication: Serve as the primary voice of Data & AI - presenting roadmaps, vision, metrics, and outcomes to executives and external partners.
Drive state of the art computer vision research and productization.
Architecture & Scalability: Ensure data platforms (batch and streaming) are secure, reliable, and scalable - leveraging AWS, Kubernetes, Terraform, etc.
Data Governance & Security: Ensure high standards for data quality, privacy, and compliance practices across all pipelines and models.