Data Lead

Effectory; Amsterdam; Hybrid; EUR 80,000 - 100,000; Full time

Benefits offered by this job

25 days paid leave

Option to purchase extra holidays

Flexible working hours

Learning budget for personal development

Budget to set up a home office

Pension

Annual events

Volunteer day off

Job summary

Effectory is looking for a Data Lead in Amsterdam to own the data function end-to-end, managing a small engineering team and collaborating with various departments to centralize data operations.

The ideal candidate will have extensive experience in data roles, leadership qualities, and strong skills in modern data stacks. They will drive data governance and strategies that enhance operational metrics and foster a data-driven culture.

Qualifications

• 7+ years in data or analytics roles, with at least 3 years in a leadership or management capacity.
• Strong people-leader who builds clarity, accountability, and momentum in technical teams.
• Experience operating in ambiguous, fast-growing environments.

Responsibilities

• Own the design and implementation of the internal data stack.
• Safeguard data quality, reliability, and documentation across all critical datasets.
• Define and own the company's data strategy and roadmap.

Skills

SQL skills

Leadership

Data governance

Analytical skills

Project management

Communication

Tools

Snowflake

Databricks

dbt

Azure Data Factory

Fivetran

Power BI

Looker

Job description

Position Overview

As Data Lead you will own the data function end‑to‑end, including the operating model, platform investment, team, and outcomes. You will lead a small engineering team (~5 FTE) and work closely with Product, Revenue Operations, Finance, and GTM to make data central to how the business operates day‑to‑day. Your ambition is to tie operational data to engagement results so that customers can prove the impact of employee feedback on their performance. You will report directly to the CTO.

What You’ll Be Doing

• Own the design and implementation of the internal data stack — warehouse, pipelines, orchestration, and BI layer.
• Define target architecture compatible with the existing external product data stack owned by the reporting team.
• Safeguard data quality, reliability, and documentation across all critical datasets.
• Create and maintain shared metric definitions and data standards across the business.
• Define and own the company's data strategy and 12‑month roadmap, aligned to company OKRs.
• Partner with leadership — including RevOps, CISO, CTO, Finance, and Product — to align data capabilities with business priorities.
• Establish clear working agreements with RevOps on metric ownership and shared data models, ensuring a single source of truth for critical company metrics.
• Work alongside the CISO on data governance and access controls; implementation sits with the Head of Data.
• Deliver self‑serve BI capabilities for Product, Customer Success, Finance, and the executive team.
• Own product and customer engagement metrics; collaborate with RevOps on a shared revenue metrics layer.
• Ensure data is structured, documented, and governed in ways that enable advanced analytics, automation, and AI use cases.
• Set the standard for how the team uses LLMs, agents, and automation; coach the team to adopt AI‑enabled ways of working by default.
• Foster a data‑driven culture across the organisation through standards, tooling, and stakeholder engagement.

Qualifications

• 7+ years in data or analytics roles, with at least 3 years in a leadership or management capacity.
• Strong people‑leader who builds clarity, accountability, and momentum in technical teams.
• Strong SQL skills and hands‑on experience with modern data stacks (Snowflake or Databricks, dbt, Azure Data Factory, Fivetran, Power BI or Looker, etc.).
• Experience operating in ambiguous, fast‑growing environments where ownership is unclear and priorities shift.
• Demonstrated ability to work as a peer alongside Revenue Operations, Security, and Engineering functions, influencing without formal authority.
• Pragmatic, analytical, and results‑oriented, with the ability to cut through ambiguity and turn complex data challenges into clear priorities and tangible business outcomes.
• Privacy and security essential; understands how to create flexible insights while safeguarding individuals' privacy and meeting enterprise security requirements.
• Fluent in English.

Benefits

• 25 days paid leave on a full‑time basis.
• 4 company‑wide cool‑down days per year.
• Option to purchase extra holidays.
• Birthday off.
• A day off to move house.
• A volunteer day off to support causes you care about.
• Full additional parental leave for partners.
• Flexible working hours from 7 am – 7 pm.
• Sabbatical after every 5 years.
• Option to work from abroad for up to 4 months.
• A great lunch (hot & cold vegetarian, meat and vegetarian options) at the office, made by an in‑house chef.
• A week of interactive onboarding to meet Effectory and new colleagues.
• A learning budget for personal development and extensive internal development opportunities.
• Budget to set up a home office.
• Additional monthly compensation for working from home.
• Pension.
• Access to financial advice.
• Annual “Body & Mind” budget for anything that energises or relaxes you.
• Yearly summer and winter schools.
• Annual events: winter party, summer party, and a legendary big day.

About Effectory

Effectory is Europe’s leading employee‑feedback solution. Our platform helps HR and leaders collect feedback throughout the employee journey, transforming it into people analytics that boost productivity, engagement, and retention. Built on 25 years of experience, our 200 specialists in Amsterdam and Munich support more than 800 organisations across 70+ countries.

Equal Opportunity

We are an equal‑employment opportunity employer and, inclusive of all protected classes, welcome applications from diverse perspectives.