Required Head Of Tech Data
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.
Job responsibilities
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 measurable impact.
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.
Job responsibilities
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 measurable impact.
Requirements:
10+ years of experience: in Data Product, Product Analytics, or BI roles, with senior level ownership of product domains and critical KPIs.
5+ years of proven experience: leading, mentoring, and scaling high performing data analytics teams and practices over time.
Data Culture & Ownership: Proven track record of driving culture changes around data ownership and self-service discovery.
Cross-Functional Influence: A strong communicator able to align stakeholders across Engineering, Product, and Design, ensuring data is embedded in every stage of the development lifecycle.
B2B SaaS expertise: Deep understanding of the metrics and lifecycles inherent in fast-growing SaaS environments.
Product Insights & Modeling: Hands-on experience with SQL, Pendo, Snowflake, Tableau and analytical models to drive business impact and product innovation.
AI & Innovation: Experience leveraging AI and LLMs for conversational analytics, with the ability to translate business logic into a semantic layer for AI-driven insights.
Strategic Thinking: Ability to define a "Tech Data Strategy" that aligns product roadmaps with data capabilities.
Results-oriented and accountable, with the ability to operate at both the strategic level and get "hands-on" when needed.
Governance & Trust: Experience establishing clear ownership and "Trust by Design" to ensure product data is consistent, high-quality, and scalable.
Fluent English & Hebrew proficiency (written and spoken).
It Will Be Great If You Have:
Experience in HR, Payroll, with an understanding of people data & compliance.
Exposure to large scale SaaS architectures; microservices, APIs &integrations.
Background in hands on software development experience.
10+ years of experience: in Data Product, Product Analytics, or BI roles, with senior level ownership of product domains and critical KPIs.
5+ years of proven experience: leading, mentoring, and scaling high performing data analytics teams and practices over time.
Data Culture & Ownership: Proven track record of driving culture changes around data ownership and self-service discovery.
Cross-Functional Influence: A strong communicator able to align stakeholders across Engineering, Product, and Design, ensuring data is embedded in every stage of the development lifecycle.
B2B SaaS expertise: Deep understanding of the metrics and lifecycles inherent in fast-growing SaaS environments.
Product Insights & Modeling: Hands-on experience with SQL, Pendo, Snowflake, Tableau and analytical models to drive business impact and product innovation.
AI & Innovation: Experience leveraging AI and LLMs for conversational analytics, with the ability to translate business logic into a semantic layer for AI-driven insights.
Strategic Thinking: Ability to define a "Tech Data Strategy" that aligns product roadmaps with data capabilities.
Results-oriented and accountable, with the ability to operate at both the strategic level and get "hands-on" when needed.
Governance & Trust: Experience establishing clear ownership and "Trust by Design" to ensure product data is consistent, high-quality, and scalable.
Fluent English & Hebrew proficiency (written and spoken).
It Will Be Great If You Have:
Experience in HR, Payroll, with an understanding of people data & compliance.
Exposure to large scale SaaS architectures; microservices, APIs &integrations.
Background in hands on software development experience.
This position is open to all candidates.
