For any estimator A of theta, Bias(A)= E[A] - theta. So, when you take the expected value of your statistic you probably get (1/n) + theta. So, to make the estimator A unbiased subtract (1/n). That is, A - (1/n) is unbiased for theta. I believe Rao-Blackwell says this sufficient statistic is UMVUE.