Data Director · Pharmaceuticals
Data Leadership for Pharma Directors
You already know how to run data teams. What you need now is the pharma context that makes your decisions land: how clinical trials generate data, what CDISC and GxP actually require, who the players are from CROs to health authorities, and where compliance changes your architecture choices. This track builds that foundation lesson by lesson, then connects it to the core data skills you're expected to master at director level: governance, data strategy, team structure, stakeholder alignment.
You'll work through interactive tools built around pharma scenarios, a playbook you can apply directly to your next data governance review or EMA submission prep, and a sector assessment that tells you exactly where your knowledge holds up and where it doesn't. No generic case studies. Everything here reflects the constraints you deal with: patient data sensitivity, audit trails, cross-border trial data flows. You'll finish knowing exactly what to change on Monday morning.
27 lessons · ~5 h · resumes where you left off
Your program
A focused program built on your vertical's content: the sector first, then your discipline applied to it.
The generalist Data track
The full craft of the discipline, beyond your sector.
More resources
Interactive tools
Frequently asked questions
Who is the Pharma Data Leadership track for?
It targets data directors and heads of data working in pharmaceutical companies, or those moving into the sector from another industry. It assumes you already know how to run a data team and manage stakeholders; what it adds is the pharma context, from clinical trial data flows to CDISC and GxP requirements, and how those constraints shape architecture and governance decisions.
How is this different from a general data leadership program?
A general program teaches governance, data strategy and team structure in the abstract. The pharma track covers the same core skills but anchors them in sector constraints: patient data sensitivity, audit trails, cross-border trial data flows, and the roles of CROs and health authorities. The scenarios and examples are pharma, not generic retail or SaaS case studies.
Do I need pharma experience before starting?
No. The track builds the sector foundation lesson by lesson: how clinical trials generate data, who the players are from CROs to regulators, what CDISC and GxP require in practice. What it does assume is data leadership experience, since the governance and strategy content is written at director level.
Is there a certification or diploma at the end?
No. There is no diploma, no state-recognised certification and no affiliation with a school or university. Reading the lessons is free and open; an account only saves your progress so you can pick up where you left off.
What does the sector assessment actually measure?
It maps your pharma data knowledge against what the sector expects at director level and shows where it holds up and where it doesn't. The point is diagnostic, not scoring for its own sake: you use the result to decide which lessons to prioritise, whether that is regulatory requirements, the ecosystem of players, or governance architecture.
Can I use the playbook on a live EMA submission or governance review?
That is what it is designed for. The playbook is built to be applied directly to a data governance review or the preparation of an EMA submission, alongside interactive tools set in pharma scenarios. It gives you a working method for your own files, not a summary to read and file away.