[Hiring] Head of Assessment and Certification Content @DataCamp

Role Description

This is an individual contributor role. You will own the design and production of DataCamp's assessment and certification content, working with subject-matter experts and building AI systems that generate, review, and continuously refresh high-quality, defensible questions at scale. Here's what your day-to-day will look like:

• Own the end-to-end lifecycle for assessment and certification content—from blueprint and item design through review, publication, and ongoing maintenance—and manage deadlines across it.
• Design psychometrically sound assessments: write and review items, define scoring and passing standards, and safeguard validity, reliability, and fairness.
• Build and operate AI workflows—prompting, pipelines, and evaluation—that draft, grade, and quality-check items, so content production scales without sacrificing rigor.
• Source and collaborate with subject-matter experts to keep certifications current with the fast-moving data and AI landscape.
• Map certifications to the real skills hiring managers screen for, so a DataCamp credential is a credible signal to employers.
• Benchmark against the wider certification landscape—competing programs, industry standards, and emerging role definitions—and set the strategy for where our certifications go next.
• Continuously assess certification performance using pass rates, item statistics, and learner and employer feedback to drive improvements.

Qualifications

• A technical background in a STEM field—such as Computer Science, Data Science, AI, Statistics, or Engineering—paired with experience evaluating technical competency (e.g., designing coding assessments, technical interviews, certification exams, or graded coursework).
• Demonstrated expertise in assessment design—item writing, scoring, standard-setting, and the validity, reliability, and fairness principles behind credible certification.
• A clear grasp of the skills hiring managers actually screen for in data and AI roles, and how to translate them into what a certification measures.
• Strong experience with agentic AI systems such as Claude Code, Cursor, or Replit, and building AI automation systems.
• Graduate degree (Master's or PhD) in a related STEM discipline, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.

Requirements

• Bonus if you have the following:
• A deep understanding of the DataCamp courses, assessments, and certifications.
• An extensive track record of building sophisticated AI systems and workflows.
• An understanding or interest in the current certification landscape in data and AI: how leading programs are structured, where they fall short, and what makes a credential respected by employers.