דרושים » ניהול ביניים » Analytical Department Manager

We are seeking a Senior Manager / Director of Data Analytics to own and lead our customer analytics domain. This is a high-impact, hands-on leadership role responsible for turning large-scale, global data into insights, dashboards, alerts, and analytical tools that drive executive decisions and customer success.
This role reports directly to the VP of R&D and works closely with executive stakeholders across the company. We are looking for a strong pusher with high energy - someone who proactively drives analytics forward, challenges assumptions, and makes things happen.
Responsibilities
Lead a small team of data analysts, while remaining deeply hands-on
Act as a driver and pusher - proactively identify gaps, opportunities, and insights
Own analytics for customer data, including:
Usage and adoption
Cost and efficiency
Pricing and monetization insights
Detection of abnormal or anomalous behavior
Design and deliver dashboards, reports, and automated alerts for executives and customer-facing teams
Work closely with R&D, Product, and business leaders to turn data into action
Operate in a fast-moving, high-energy environment, managing multiple priorities
Apply and help evolve AI-driven analytics and agent-based approaches
Support and scale analytics across a global data footprint.

Required Head Of Tech Data
Come and be you with us
Being a Bobber is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting
with open arms. Come join us.
About you:
As our Head of Tech Data, you will be a senior member of the Tech Leadership team, responsible for defining and driving our Tech Data strategy across the organization.
This is a foundational leadership role. You will shape how data is consumed across our technology organization, from principles and operating model to tooling, metrics, and ways of working. You will assess our current state, identify the most meaningful gaps and risks, and define where data can create the greatest impact for our teams and products.
You will operate comfortably at both the strategic and execution levels, influencing leadership decisions, aligning senior stakeholders, and getting hands on when needed. You will lead the creation of standards, frameworks, and best practices that scale and have lasting impact, while working closely with Product, Design, Engineering, and the broader Data organization.
Lead and develop the Product Analytics team within Tech.
Define and own the Tech Data strategy, shaping how data supports decision making across the organization.
Act as the strategic and technical authority for Tech Data, assessing current practices and setting the operating model, infrastructure, standards, and roadmap.
Establish clear ownership and governance to ensure consistency, quality, and trust.
Partner closely with Engineering, Product, Design, and Data to embed data into every stage of the development lifecycle.
Drive innovation in Tech Data, including the use of AI to enable speed & scale.
Establish Tech Data metrics and reporting that give leadership visibility and support clear, actionable decisions.
Own the lifecycle of data products, from discovery and modeling through KPI definition, adoption, and maintenance.
Shape and lead company KPIs, ensuring consistency across dashboards & AI outputs.
Ensure data products are trusted, scalable & used to drive measurab

We are looking for a Data Operations Team Lead to lead and scale our data operations function. This role sits at the intersection of data, algorithms, and operations, and is critical to the success of our computer vision and AI models.
You will lead a distributed team responsible for data collection, annotation, quality control, and delivery, while working closely with Algorithm teams to understand model needs, prioritize requests, and ensure reliable, high-quality data pipelines.
This is a hands-on leadership role - you will manage people and processes, but also actively design, build, and improve data workflows.
Responsabilities
Lead and manage the Data Operations team, including annotation teams in Israel and a large remote team in India
Serve as the primary interface between Data Operations and Algorithm teams: understand model requirements, prioritize tasks, and plan data delivery
Own end-to-end data workflows, from model improvement needs through data definition, annotation guidelines, execution, and delivery
Ensure high data quality through close monitoring, validation, troubleshooting, and root-cause analysis
Design and maintain clear annotation guidelines, documentation, and training materials
Closely manage remote annotation teams, including weekly syncs, hands-on oversight, and deadline management
Own and operate the annotation pipeline using industry tools (e.g., CVAT)
Monitor progress, track performance, and continuously improve efficiency and quality
Own annotation budgets, monthly reporting, and validation of hours and outputs
Evaluate, benchmark, and implement new tools and processes in the data and annotation domain
Work hands-on with scripts, AI tools, and monitoring systems as needed to support data quality and operations.

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io Artlist is looking for an exceptional Head of Data to lead our data organization. This role is a unique opportunity to influence the company at the highest levels by driving strategic decisions through data, and by evolving our data capabilities to support Artlist's rapid growth. About the Role As Head of Data, you will lead talented teams of data analysts & data engineers, and be the key figure shaping Artlist's data strategy. You’ll be responsible for creating and executing a clear roadmap for how data supports our business goals, empowering stakeholders across the company with actionable insights, and helping leadership make data-informed decisions. This is a leadership position requiring both strategic thinking and technical acumen. You’ll work cross-functionally with Product, Marketing, R&D, Finance and the executive team to build scalable solutions and elevate the use of data across the organization. What You'll Do
* Lead the data department (analytics & engineering), with a focus on growth, and impact.
* Develop and implement a company-wide data strategy aligned with product and business priorities.
* Oversee data infrastructure, ensuring scalable, clean, and accessible data pipelines and models.
* Partner with leadership to provide sharp, actionable insights and business recommendations.
* Define and track key metrics and KPIs to measure product performance, customer behavior, and operational efficiency.
* Enable a data-first culture across the organization through education, tools, and storytelling.
* Drive innovation in data tools, visualization, and automation to unlock new value for teams.

We are seeking a results-driven Analytics Team Lead with a minimum of 4 years in leadership roles, preferably within Fintech or B2C. You will lead a team of 5+ multi-domain analysts, focusing purely on high-level analysis and business logic. This role does not involve ETL, data modeling, or pipeline management; it is dedicated to extracting value and driving strategy.
Key Responsibilities:
Team Management: Lead the sprint and backlog for a diverse team of 5+ analysts.
Methodology: Develop and implement standardized analytical frameworks and A/B testing rigor.
Operational Efficiency: Audit and optimize internal workflows to eliminate double-work and manual inefficiencies.
Metric Ownership: Define departmental North Star metrics and proactively educate stakeholders on change drivers.
Execution: Maintain a hands-on approach to meet deadlines and push cross-functional projects to completion.
AI Integration: Build and deploy AI tools/frameworks to assist the team in faster insight generation.