SAS to Python / R Migration Architect

The SAS to Python/R Migration Architect is responsible for end-to-end strategy, design, and governance of large-scale analytical and statistical code migrations from SAS to modern open-source ecosystems (Python and R). This role focuses on assessment, architecture, standards, risk management, and validation, working closely with stakeholders and development teams to ensure accuracy, performance, and regulatory fidelity.This is a hands-on technical leadership role, not just documentation or oversight.Key ResponsibilitiesLead enterprise-scale migrations from SAS (Base SAS, PROC SQL, STAT, ETS, MACRO, etc.) to Python and/or RPerform detailed SAS estate assessments, including:Code inventory and dependency mappingMacro complexity analysisData access patterns (SAS datasets, DBs, flat files)Statistical method equivalency analysisDefine target-state architecture for Python/R analytics platforms (libraries, frameworks, environments)Establish migration patterns and standards, including:SAS PROC → Python/R library mappingsMacro-to-function translation strategiesReusable templates and shared componentsDesign validation and reconciliation frameworks to ensure:Statistical equivalenceNumeric tolerancesRegulatory and audit complianceGuide performance optimization strategies for large datasetsIdentify automation opportunities (code scanners, translators, test harnesses)Lead technical reviews and approve migrated codeMentor developers and review complex conversionsCommunicate migration risks, tradeoffs, and timelines to leadershipRequirements8+ years of advanced analytics or statistical programming experience5+ years hands-on SAS development (Base SAS, PROC SQL, MACRO, STAT)Proven experience architecting or leading SAS → Python and/or R migrationsDeep expertise in:Python (NumPy, Pandas, SciPy, statsmodels, scikit-learn)and/or R (tidyverse, data.table, caret, survival, forecast)Strong understanding of statistical methods parity between SAS and open-source toolsExperience with data platforms (SQL databases, cloud storage, data lakes)Familiarity with CI/CD, version control, and testing frameworks for analytics codeNice to HaveExperience in regulated environments (government, healthcare, finance)Prior work modernizing legacy analytics platformsExposure to cloud analytics stacks (AWS, Azure, GCP)Experience designing automated validation frameworksBenefits401(k)401(k) matchingDental insuranceFlexible spending accountHealth insuranceLife insurancePaid time offProfessional development assistanceReferral programTuition reimbursementVision insurance