Funny enough, vectors aren't usually discussed in a math setting until Calculus III. Despite being a relatively easy concept.
There's a compelling argument for withholding the abstract theory of vector spaces and linear maps from non-mathematicians until multivariate calculus. Linear maps (as approximations to differentiable maps), determinants (as Jacobians measuring volume distortion under pullback), eigenvalues and quadratic forms (as Hessians measuring curvature with eigenvalues as principal curvatures) all make prominent appearances and become easy to motivate geometrically.