לוח משרות דרושים מנהל מחלקת Data

Required Director of Fraud Analytics
So, whats the role all about?
The company is seeking a Director of Fraud Analytics to lead its Fraud Data and Analytics research and development. In this position the Director of Fraud Analytics will have responsibility managing a team of highly skilled Fraud analysts and data scientists developing the company Fraud AI and analytics offering and tools, research, methodology and development practices.
How will you make an impact:
Manage several teams of analysts and data scientists that define how Fraud is detected in the product suite.
Define and develop the tools and methods required for Fraud AI and analytics capabilities in the product suite
Deliver and assist in defining product capabilities across theportfolio for developing and deploying advanced analytics and data science products
Evangelize Fraud Analytics capabilities and provide thought leadership through engagement with the market and the client community
Maintain strong relationship and team management in a highly matrixed environment with customers, sales, development, product and delivery groups.

Required Data Operations & Annotations Manager
Our Mission
Our mission is to help enterprise supply chain teams automate decisions, eliminate inefficiencies, and drive profitability by turning complex, disconnected data into actionable insights in seconds.
Role Overview:
As a Data Operations & Annotations Manager, you will be responsible for building and managing a small foundation data operations and annotation team, establishing processes dealing with a diverse set of data sources (e.g. images, text, floorplans, etc.), overseeing the data pipeline, annotation pipeline, and ensuring high-quality labeled data for AI/ML models. You will work closely with data scientists, engineers, and product managers as part of the R&D team to refine annotation guidelines, monitor performance, and implement process improvements.
This is a hands-on role at the intersection of research, data science, and operations ideal for someone who thrives in fast-paced, cross-functional environments.
Key Responsibilities:
Own and optimize the end-to-end data flow across internal systems and platforms.
Build, manage, and mentor a team working across diverse data types: images, text, floorplans, and more.
Define, refine, and enforce annotation guidelines and quality standards.
Monitor data quality metrics, accuracy, consistency, and edge case handling.
Act as a player-coach: participate directly in annotation tasks while overseeing daily operations.
Identify and recommend tools and technologies to optimize workflows.
Collaborate with ML engineers and data scientists to optimize processes.
Identify and implement tools, technologies, and process improvements in close collaboration with ML engineers and data scientists to optimize end-to-end workflows.

A global leader in performance marketing, is looking for a talented Data Operations Manager to join us on our mission to simplify decision-making for millions!
What You'll Do
Responsibilities
The job consists of processing sales data from our business partners to our internal systems, validating and creating accurate analytics and financial reports.
Being a part of the monthly billing cycle.
Be a critical focal point to internal key users, product managers, bizdev, campaign managers, etc.
Own the data development process end-to-end including business understanding, methodology, QA, and integration maintenance.
Working with various systems such as Salesforce, Tableau, Jira, Monday, Slack and other internal systems.

Required Director, Analytics Risk & Fraud
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As a Director in Analytics, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale.
As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business.
Responsibilities:
Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
Leverage the extensive data received from our application to enhance model performance and accuracy.

We are seeking a highly experienced VP Data to lead the companys data development efforts in building its core technology.
As the VP Data, you will be at the forefront of our innovative efforts, reporting directly to the CTO. The role requires strong technical understanding and strategic thinking. This will include hiring and managing a team of data analysts, data engineers, data scientists .
If you are a highly motivated, organized, independent, self-starter who enjoys working in a dynamic, fast-paced environment, where you want to be!
RESPONSIBILITIES:
Establish and maintain data governance frameworks and best practices to ensure data quality, accuracy, and reliability across all systems
Guide the implementation of data science and ML projects from ideation to production
Direct the evolution of BI visualization platforms (Tableau, Looker Studio)
Develop and articulate a clear data vision and strategy that aligns with overall business objectives.
Foster a culture of collaboration, and continuous improvement within the data team.
Provide guidance and support to team members to help them achieve their professional goals and deliver exceptional results.
Collaborate closely with engineering, growth, finance, and other cross-functional teams to ensure successful data deliveries and vision alignment.
Communicate data vision, strategy, and progress to key stakeholders, including the executive team, board members, and external partners.