דרושים » ניהול ביניים » Marketing data team leader

We seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.

Were seeking a highly motivated Director of Analytics with a strong business orientation and deep analytics expertise to elevate our data-driven culture. Youll lead a growing group of analysts, partner with cross-functional teams, and build innovative solutions that power product-led growth strategy and customer experience.
What will you be responsible for?
Lead, mentor, and develop a group of talented analystsensuring professional growth, quality deliverables, and a culture of curiosity.
Define and execute analytics strategies to support PLG motions, drive product adoption, customer retention, and overall business performance.
Champion the integration of AI-powered analytics tools, transforming how we generate insights and scale impact across teams.
Collaborate with Product, Growth, Marketing, and Customer Success to uncover data-driven opportunities and influence key decisions.
Partner with Data Engineering to ensure reliable, scalable infrastructure and tooling for advanced reporting and analytics.
Conduct deep product analyticsanalyzing user journeys, growth funnels, and cohort behavior to drive actionable insights.
Design, implement, and evaluate experiments (A/B tests) to optimize onboarding, activation, monetization, and retention.

As an AI Data Science Team Lead, you will lead the Clinical AI domain in the Data & AI group. You will be responsible for building, deploying, and evolving clinical prediction models and LLM based agents that power our AI-first user experiences - starting with our conversational health assistant and expanding into risk prediction and disease management.
You will lead a cross functional team of data professionals and work closely with Product, R&D, and Data Platform teams to bring data-driven ML/AI solutions to life.
Responsibilities:
Lead a team of data scientists & analysts
Work closely with the engineering team on delivering AI agents to our product - collaborate on design, testing, deployment, monitoring and iterative improvements
Establish best practices for agent observability & evaluation
Partner with Product Managers to translate user journeys into intelligent conversational flows
Define how real-time data from the app, wearables & clinical events is injected into agent memory
Implement other novel algorithms and investigate new technologies to improve the clinical impact of our product and actually save lives!!

We are looking for a Data Engineering Tech Lead.
What will you be responsible for?
Lead the design and development of scalable, high-performance data workflows, including both batch pipelines and real-time data products.
Define, implement, and enforce engineering best practices related to code quality, testing, CI/CD pipelines, observability, and documentation.
Mentor, support, and grow a team of data engineers, fostering a collaborative and high-performance engineering culture.
Identify opportunities to create new data assets and features that expand product capabilities and value proposition.
Drive architectural decision-making in areas of data modeling, storage solutions, and compute resources within cloud environments such as Databricks and Snowflake.
Collaborate closely with cross-functional stakeholdersincluding Product, DevOps, and R&Dto ensure effective delivery and platform stability.
Promote and champion a data-driven mindset across the organization, balancing technical rigor with business context and strategic goals.