{"id":2184362,"url":"https://alion.io/job/blab-ai-workflow-leadamsterdam-nld","title":"AI Workflow Lead(Amsterdam, NLD)","company":{"id":670433,"name":"Blab","domain":"blab.com","url":"https://alion.io/company/blab-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands","London, United Kingdom"],"countries":["NL","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":100000,"max_usd":184000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"EU AI Act","optional":false},{"name":"GDPR","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Looker","optional":false},{"name":"Metabase","optional":false},{"name":"Miro","optional":false},{"name":"n8n","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Zapier","optional":false},{"name":"C#","optional":true}],"status":"live","first_seen_at":"2026-10-09T15:11:50Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-21T02:27:19Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Please Note: B Lab is not working with a third party to fill this role an no part of our process requires applicants to pay fees. Applicants should only use our job board to submit an application, and will interact directly with our team during this process.\nThis is a Full-Time Role (40 hours per week, 5DWW) with no option for part-time work. While this is a remote-first opportunity, the candidate filling this role must be a resident of the Netherlands or in the U.K. at the start of employment. Additionally, they must be within commuting distance of our office in Amsterdam or London. \nPlease visit our Careers page to review all opportunities and submit your application for the role(s) that best fit your location and work authorization. This job ad will close automatically at 9:00AM EST on October 23rd.\nAbout the Team\nThe Data & AI team is responsible for building B Lab's data platform, delivering on business priorities, and bringing AI into how B Lab works. We approach AI deliberately, and with people and planet in view. B Lab is currently exploring how to use AI in a responsible way, aligned with our values and mission. The team reports directly to the CTDO. AI Enablement is one of three pillars within Data Analytics & AI, the demand side of the Data & AI team. It drives responsible, practical AI adoption across B Lab through three connected roles. The Senior Manager of Data Analytics & AI leads the branch and brings the knowledge of B Lab's systems and data infrastructure. The AI Workflow Lead works with teams to design and scale AI workflows. The AI Enablement & Learning Platform Lead builds the learning paths and skills that help people use them well.\nAbout the Opportunity\nThe AI Workflow Lead is B Lab's AI workflow builder: an internal “consultant” who works closely with teams on the ground to understand how they work, find where AI can add the most value, and turn those opportunities into scalable, responsible AI workflows. Aside from internal processes, as you grow an understanding of our products, you will be working closely with our Product team to help identify opportunities in which AI can add meaningful value. \nThe role takes an organisation-level view. It runs the discovery and design behind cross-team workflows, coordinates delivery with the Data & AI team, Data engineering and the teams involved, and helps build the champion networks that carry adoption forward. It keeps a continuous picture of how AI is being used across B Lab, and where it falls short. Those insights feed the training built by the AI Enablement & Learning Platform Lead, and the role measures whether the workflows and programmes we run actually deliver.\nIt sits within Data & AI and reports to the Senior Manager of Data Analytics & AI. Together with the AI Enablement & Learning Platform Lead, it brings insights back to shape AI strategy collectively, which is then taken to the CTDO. It works across every function, with Product & Platform Engineering, and with governance and compliance stakeholders. The role works closely with the AI Enablement & Learning Platform Lead and will cover core AI-enablement responsibilities during that role's parental leave.\nCore Responsibilities \nWorkflow Discovery & Design (40%)\nWork closely with teams on the ground to understand their processes, pain points and goals, using interviews, process mapping and design thinking to find high-value AI opportunities.\nDesign and ship team and organisation-level AI workflows from idea to scaled solution, coordinating with the Data & AI team, Data engineering and the teams impacted.\nIdentify and scope meaningful AI opportunities in product-facing surfaces such as the B Impact platform, partnering with Product & Platform Engineering, and with the data/platform team where data or ML builds are needed.\nTurn successful pilots into standard, supported workflows that other teams can adopt.\nUse-Case Pipeline & Landscape Monitoring (20%)\nRun a structured use-case pipeline (intake → evaluate → pilot → scale), so AI adoption is systematic rather than ad hoc.\nContinuously monitor how AI is being used across the organisation, including what works, where limitations appear, and where risks emerge, and feed these insights into the training built by the AI Enablement & Learning Platform Lead.\nScan the AI landscape for new tools, capabilities and risks, and evaluate tools against clear criteria, including responsible-use, privacy and security considerations.\nImpact Measurement (15%)\nMeasure the impact of the AI workflows and programmes we run, including time saved, quality and ROI, and report clearly on what is working and what isn't. (People's skills progression is tracked by the AI Enablement & Learning Platform Lead.)\nBuild simple dashboards and analyses that make adoption and impact visible to stakeholders.\nInsight, Strategy & Adoption Support (15%)\nTogether with the AI Enablement & Learning Platform Lead, report insights to the Senior Manager of Data Analytics & AI, so that AI strategy is shaped collectively and based on operational reality.\nRecommend where to invest in tools and workflows; decisions are co-made with the Senior Manager of Data Analytics & AI and the CTDO.\nHelp develop and support AI champion networks across teams and regions, so that good practice spreads beyond individual projects.\nAct as a point of contact for use-case and workflow questions from staff, escalating policy questions to the AI Enablement & Learning Platform Lead.\nSupport responsible use and governance in practice (policy, guardrails and approval workflows owned elsewhere).\nOther projects and team coverage (10%)\nAbout You\n 4-6 years of direct experience in data, product, operations, learning or change, with hands-on experience or demonstrated interest in AI.\nBachelor's degree in Data Analytics, Information Science, Business, Computer Science, Social Sciences or a related field, or equivalent practical experience.\nExperience leading or contributing to projects that changed how a team works, such as process improvement, tool adoption or digital transformation.\nUsing generative AI tools (e.g. LLM-based assistants, custom GPTs or agents) in real workflows, including prompt design, testing outputs and understanding their limitations.\nWorkflow automation and no-/low-code tools (e.g. Zapier, Make, n8n, or similar), and a working understanding of how APIs and integrations connect systems.\nProcess mapping and documentation (e.g. Miro, Lucidchart or similar) to capture current and future-state workflows.\nDesigning measurement approaches: setting baselines, defining success metrics, and running small tests or pilots to compare approaches.\nSurvey design and qualitative analysis (e.g. interview synthesis, thematic coding).\n\n Profile of someone who would thrive in this role: \n\nCuriosity about AI and how work is changing. You explore new tools and capabilities, experiment with emerging approaches, learn from those experiences, and share what you learn with others.\nSystems thinking. You understand how changes to a workflow, team or technology can affect data, time, quality, risk and other parts of an organisation, and you consider those connections when making decisions.\nAn evidence-first mindset. You approach claims of AI-driven productivity or impact with healthy scepticism, establish baselines, define measures of success, and use evidence to judge whether an approach is delivering results.\nSound AI judgment and adaptability. You respond well to changing tools and approaches, and can judge where AI is likely to help, where human oversight is required, and where AI is not the right solution.\nA responsible and critical approach to AI. You consider who benefits from technology, who may bear its costs or risks, and the environmental implications of its use, and you engage constructively with critical perspectives on AI alongside its potential benefits.\nStrong discovery and interviewing skills. You listen carefully, ask thoughtful follow-up questions, and move beyond stated requests to uncover underlying needs and problems.\nInsight generation. You spot patterns across teams, synthesise qualitative and quantitative information, and use those insights to inform priorities, training and strategy.\nClear, concise communication. You explain complex ideas in plain language and communicate effectively with busy, non-technical audiences, both verbally and in writing.\nStrong relationship-building. You build trust across functions, cultures and regions, and collaborate well with colleagues who have different perspectives, experiences and levels of technical expertise.\nThe following is not strictly required but would allow you to thrive in this role:\nExperience with qualitative research methods, thematic analysis or survey design in a research or UX context.\nData analysis with spreadsheets and/or SQL, and building simple dashboards in visualisation tools (e.g. Looker Studio, Tableau, Metabase or similar).\nFamiliarity with data protection and AI-regulation frameworks (e.g. GDPR, EU AI Act) and how they apply to tool evaluation and pilots.\nBasic scripting (e.g. Python) or experience building AI workflows that connect to internal data.\nExperience working with global or mission-driven organisations.\n\nCompensation Details\nB Lab has a compensation plan that includes:\nAn annual salary in the range of €51,000 - €61,000(inclusive of holiday allowance) based on experience and skills\n20 vacation days per year, prorated to your start date - front-loaded and restarting each January 1; increased to 25 days after third anniversary \nAfter your first year of employment, 40 hours paid time off for community service; 40 hours of paid time off for professional development with access to a professional development budget (we assess this PD budget annually)\nFlexibility to use 3 floating holidays and 2 personal days\nAdditional time off during org- wide closures when the entire organization is closed (not including holidays)\nB Lab pension scheme\nOne-time stipend to make your home-based workspace more comfortable \nA remote-first workplace \nA flexible work environment with the ability to plan your work week around your personal commitments\nThis is a Full-Time Role (40 hours per week, 5DWW) with no option for part-time work. \nThis job ad is for Amsterdam, NLD. While this is a remote-first opportunity, the candidate filling this role must hold work authorization to work in the Netherlands without any time limitations or any other restrictions, and they must be a residentof the Netherlands at the start of employment. Additionally, they must be within commuting distanceof our office in Amsterdam. This role is noteligible to be remote from other countries in Europe. If you wish to be based in one of our other locations listed for this role, please visit our Careers page and submit your application through the job ad that best fits with where you hold residency and work authorization.\n\nHiring Process\nWe require all of the following in order to consider your application:\nResume \nComplete responses to our standard set of application questions\nPlease do not include a cover letter.\nIf you progress through additional stages in the hiring process you can expect to:\nStep 1: Submit your resume and responses to our application questions in full \nStep 2: Meet with our recruiter and submit your responses to our video questions via Spark Hire\nStep 3: Participate in an interview with a panel via Google Meet or Zoom (all candidates must have their cameras on)\nStep 4: Complete an exercise and participate in a final interview with a panel via Google Meet or Zoom (all candidates must have their cameras on)\nPlease note that your first day of work must be in-person at one of our office locations to complete onboarding documents and meet with some members of our team. \nPlease note: This job ad will close automatically at 9:00AM EST on October 23rd. 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