AI Workflow Lead(Amsterdam, NLD) New Amsterdam, NL; London, UK

B Corporation; Amsterdam; Hybrid; EUR 51,000 - 61,000; Full time

Job summary

B Lab is seeking an AI Workflow Lead to design and scale AI-powered workflows, collaborating with product and data teams. You will oversee discovery, design, implementation, and governance to ensure responsible use of AI across the organisation.

The role emphasizes measurement, storytelling with dashboards, and building champion networks across regions. A Bachelor’s degree and 4–6 years of relevant experience are desired.

Qualifications

• Bachelor's degree or equivalent practical experience in a related field.
• Experience leading or contributing to projects that change how a team works.
• Experience with generative AI tools in real workflows, including prompt design.

Responsibilities

• Design and ship AI workflows from idea to scaled solution.
• Coordinate with Data & AI team, Data engineering and product teams.
• Monitor AI usage across the organisation and feed insights into training programs.
• Develop AI champion networks and support governance, policy, and risk considerations.
• Run a structured use-case pipeline from intake to scale.

Skills

AI strategy

Process discovery

Stakeholder communication

Discovery and design

Measurement & dashboards

Qualitative analysis

Interviewing skills

Systems thinking

Education

Bachelor's degree in Data Analytics, Information Science, Business, CS, Social Sciences or related field

Tools

Zapier

Make

n8n

Looker Studio

Tableau

Metabase

Miro

Lucidchart

Python

Job description

This 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. This job ad will close automatically at 9:00AM EST on October 23rd.

About the Team

The 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.

About the Opportunity

The 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.
The 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.
It 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.

Core Responsibilities

Workflow Discovery & Design (40%)

• Work 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.
• Design 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.
• Identify 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.
• Turn successful pilots into standard, supported workflows that other teams can adopt.
• Run a structured use‑case pipeline (intake → evaluate → pilot → scale), so AI adoption is systematic rather than ad hoc.
• Continuously 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.
• Scan the AI landscape for new tools, capabilities and risks, and evaluate tools against clear criteria, including responsible‑use, privacy and security considerations.

Impact Measurement (15%)

• Measure 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.)
• Build simple dashboards and analyses that make adoption and impact visible to stakeholders.
• Together 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.
• Recommend where to invest in tools and workflows; decisions are co‑made with the Senior Manager of Data Analytics & AI and the CTDO.
• Help develop and support AI champion networks across teams and regions, so that good practice spreads beyond individual projects.
• Act as a point of contact for use‑case and workflow questions from staff, escalating policy questions to the AI Enablement & Learning Platform Lead.
• Support responsible use and governance in practice (policy, guardrails and approval workflows owned elsewhere).

About You

• 4–6 years of direct experience in data, product, operations, learning or change, with hands‑on experience or demonstrated interest in AI.
• Bachelor's degree in Data Analytics, Information Science, Business, Computer Science, Social Sciences or a related field, or equivalent practical experience.
• Experience leading or contributing to projects that changed how a team works, such as process improvement, tool adoption or digital transformation.
• Using generative AI tools (e.g. LLM‑based assistants, custom GPTs or agents) in real workflows, including prompt design, testing outputs and understanding their limitations.
• Workflow automation and no‑/low‑code tools (e.g. Zapier, Make, n8n, or similar), and a working understanding of how APIs and integrations connect systems.
• Process mapping and documentation (e.g. Miro, Lucidchart or similar) to capture current and future‑state workflows.
• Designing measurement approaches: setting baselines, defining success metrics, and running small tests or pilots to compare approaches.
• Survey design and qualitative analysis (e.g. interview synthesis, thematic coding).

Profile of someone who would thrive in this role:

• Curiosity 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.
• Systems 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.
• An 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.
• Sound 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.
• A 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.
• Strong discovery and interviewing skills. You listen carefully, ask thoughtful follow‑up questions, and move beyond stated requests to uncover underlying needs and problems.
• Insight generation. You spot patterns across teams, synthesise qualitative and quantitative information, and use those insights to inform priorities, training and strategy.
• Clear, concise communication. You explain complex ideas in plain language and communicate effectively with busy, non‑technical audiences, both verbally and in writing.
• Strong 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.

• Experience with qualitative research methods, thematic analysis or survey design in a research or UX context.
• Data analysis with spreadsheets and/or SQL, and building simple dashboards in visualisation tools (e.g. Looker Studio, Tableau, Metabase or similar).
• Familiarity with data protection and AI‑regulation frameworks (e.g. GDPR, EU AI Act) and how they apply to tool evaluation and pilots.
• Basic scripting (e.g. Python) or experience building AI workflows that connect to internal data.
• Experience working with global or mission‑driven organisations.

B Lab has a compensation plan that includes:

• An annual salary in the range of €51,000 - €61,000 (inclusive of holiday allowance) based on experience and skills
• 20 vacation days per year, prorated to your start date - front‑loaded and restarting each January 1; increased to 25 days after third anniversary
• After your first year of employment, 40 hours paid time off