Senior Technical Architect - Patient CRM

Tell me about a time you were the trusted technical advisor on an implementation and had to tell the customer their plan wouldn't work.

What they are checking: Whether they can push back on a paying customer with enough credibility that the customer thanks them later.

Describe an implementation you oversaw where the integration failed after go-live. How did you find the cause?

What they are checking: Whether they troubleshoot methodically across systems they don't own and learn something that changes their next design.

How do you mentor consultants on your team who are strong in CRM configuration but weak on data integration?

What they are checking: Whether they raise the skill of the whole services team instead of becoming the bottleneck on every hard problem.

Veeva lists Do the Right Thing as a core value. Tell me about a time doing the right thing for a customer cost you something on a project.

What they are checking: Whether their judgment favors the customer's long-term success over short-term convenience when the two conflict.

Midway through an implementation, the customer adds three new data sources but the go-live date stays fixed. What do you do?

What they are checking: Whether they can protect quality and the relationship while being honest about scope and timeline tradeoffs.

How would you explain the patient journey through a support program to a developer who has never worked in life sciences?

What they are checking: Whether they know the patient support domain well enough to teach it, which shapes how good their designs are.

Walk me through how you'd design the data flow between a pharma company's patient support hub, its specialty pharmacy feeds and Patient CRM.

What they are checking: Whether they can map a messy patient services data ecosystem into clean, reliable integrations before anyone writes code.

Patient support data often includes PHI. How do you handle consent, de-identification and access when you're connecting customer data sources?

What they are checking: Whether privacy and HIPAA thinking is built into their designs rather than added after a customer raises it.

A customer's hub vendor sends files with inconsistent patient identifiers. How would you approach matching and deduplication?

What they are checking: Whether they understand identity resolution well enough to avoid merging two patients or splitting one.

How do you decide between real-time API integration and batch loads for a given data source?

What they are checking: Whether they choose integration patterns from business need and source limits instead of personal habit.

What does a good technical design document look like for a Patient CRM rollout, and who signs off on it?

What they are checking: Whether they run implementations with clear artifacts and accountable decisions rather than tribal knowledge.