Departmental Preferences: Intermediate ability to identify, evaluate, and integrate generative AI tools (e.g., AI coding assistants, chat-based models) into team workflows to enhance software development, analytics, documentation, and overall productivity, while maintaining code quality, security, and adherence to engineering best practices. Demonstrated experience establishing and enforcing team-level generative AI guidelines, including coaching staff on responsible use, ensuring all AI‑generated code and content is thoroughly reviewed, validated, and understood before adoption, and maintaining compliance with corporate GenAI and data governance policies. Responsibilities: Responsible for solving highly complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models. Leads data discovery and analyses, integrates and prepares large and varied datasets, and builds specialized databases and computing environments. Develops highly complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams within Blue Cross Blue Shield of Michigan (BCBSM) and its subsidiaries. Lead the design, development, and implementation of advanced analytics to generate insights and/or build solutions for business use cases. Provide insight on how to apply advanced analytic principles to resolve business cases and drive strategy. Provide insight on data sourcing, collection, programming and environments to support data modeling and visualizations. Collaborate with leadership and colleagues to evaluate, explore and implement best practices, platforms, tools and techniques. Produce statistical analyses, statistical learning models and data visualizations. Present recommended insights to direct team members, leadership and cross-functional teams to ensure models are well understood and incorporated into necessary business processes. Work on concurrent projects of varying size and scope, adhering to timelines and objectives. Train, mentor, recommend alternative solutions to problem solving and provide review feedback to direct team members on project objectives, quality, etc. Qualifications: Bachelors degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science, Operations Research or related field is required. Masters degree or PhD in related field is preferred. A minimum of six (6) years of related work experience is required. Previous experience programming (2 or more languages) is required. Previous experience working in the healthcare and/or consulting industry is preferred. Advanced knowledge of big data platforms (i.e. Map/Reduce, YARN, HDFS, etc.), query building (i.e. PL/SQL, HIVE, Impala, Spark, etc.), programming (i.e. R, Python, C, Java, Ruby, etc.) and visualization tools (i.e. QlikView, Tableau, Web FOCUS, etc.). Advanced statistical modeling skills (i.e. linear and non-linear regression, neural networks, logistic regression, decision trees, gradient boosting machines, support vector machines, random forests, etc.). Strong knowledge of statistical testing techniques (i.e. t-tests, chi-squared, ANOVA, etc.). Intermediate skills in Microsoft Access, Word, PowerPoint and Excel. Strong analytical, organizational and problem-solving skills. Advanced written and verbal communication skills. Ability to effectively interface and present to management at all levels of the organization. Ability to manage multiple projects concurrently. * Ability to build relationships and work collaboratively with cross-functional teams. All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability.