AI Workflow Lead (London, UK)

Blab; London; À distance; NOK 956 000 - 1 275 000; Plein temps

Résumé du poste

B Lab is seeking an AI Workflow Lead within the Data & AI team to design and scale AI-powered workflows across the organization. You will partner with product, platform engineering and governance to translate opportunities into repeatable, responsible AI solutions.

This remote-first role requires residency in the Netherlands or the U.K. at start and commuting distance to Amsterdam or London. You will drive discovery, coordinate delivery with Data & AI and build adoption across functions.

Responsabilités

• Workflow Discovery & Design: work with teams to map processes and design high-value AI workflows, coordinating with Data & AI team, Data engineering and involved teams.
• Use-Case Pipeline & Landscape Monitoring: run a structured intake → evaluate → pilot → scale process for AI adoption and continuously monitor usage, risks and landscape.
• Impact Measurement: build dashboards to report on time saved, quality and ROI of AI workflows.
• Insight, Strategy & Adoption Support: collaborate with AI Enablement & Learning Platform Lead to shape AI strategy and adoption across the organization.

Description du poste

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.
• Use-Case Pipeline & Landscape Monitoring (20%) 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.
• Insight, Strategy & Adoption Support (15%) Together with the AI Enablement & Learni