Specialist, Clinical Planning and Performance

Our location in Maple Grove, MN, currently has an opportunity for a Specialist, Clinical Planning and Performance. This role focuses on transforming complex operational and planning challenges into practical, data‑driven solutions that improve how work gets done. The Specialist will apply advanced analytics, AI‑enabled tools, and structured problem solving to clarify business needs, generate insights, and support better decision making across clinical planning and performance activities. What You’ll Do Lead end‑to‑end AI and analytics initiatives from problem discovery through solution design, prototyping, evaluation, implementation planning, success measurement, and adoption support. Conduct exploratory analysis, generate hypotheses, validate findings with data, and identify key drivers of business performance. Perform financial analysis of clinical study spending and build planning models. Design practical solutions using applied AI, machine learning, statistical modeling, automation, or business intelligence techniques where appropriate. Develop reusable assets such as analytical frameworks, solution patterns, evaluation methods, templates, workflow components, and operating documentation to improve speed, consistency, governance, and sustainability. Partner with cross‑functional stakeholders to gather requirements, align priorities, evaluate tradeoffs, communicate recommendations, and support execution of analytics‑enabled transformation efforts. Education and Experience You’ll Bring Required: Associate Degree 1 year related experience Preferred: Bachelor’s degree with 2+ years of relevant experience, or Master’s degree with 1+ years of experience in applied AI, analytics, data science, data engineering, strategy, consulting, automation, or related fields. Demonstrated experience using AI, advanced analytics, or data‑backed problem solving to improve business processes or decision making. Strong structured problem‑solving skills, including the ability to break down ambiguous questions, generate hypotheses, analyze data, and develop practical recommendations. Evidence of follow‑through: taking work from idea, analysis, or prototype through usable outcome, implementation, adoption, or measurable impact. Technical fluency with tools or concepts such as Python, SQL, APIs, data modeling, workflow automation, BI platforms, LLM-enabled tools, or statistical modeling. Ability to learn new business domains quickly and translate between business needs, analytical methods, and technical execution. Experience with GenAI or agentic AI concepts (LLMs, embeddings, retrieval/RAG, prompt engineering, tool calling, workflow orchestration, evaluation, human‑in‑the‑loop design). Experience with data science methods such as forecasting, optimization, simulation, predictive modeling, statistical analysis, segmentation, or scenario planning. Experience designing scalable analytics products, semantic models, dashboards, data quality processes, reusable data structures, or solution architecture. Experience in consulting, strategy, operations, finance, healthcare, planning, supply chain, or other complex business environments. What We Offer Training and career development, with onboarding programs for new employees and tuition assistance. Financial security through competitive compensation, incentives and retirement plans. Health care and well‑being programs including medical, dental, vision, wellness and occupational health programs. Paid time off. 401(k) retirement savings with a generous company match. The stability of a company with a record of strong financial performance and a history of being actively involved in local communities. The base pay for this position is $61,300.00 - $122,700.00. In specific locations, the pay range may vary from the range posted. Abbott is an Equal Opportunity Employer, committed to employee diversity. #J-18808-Ljbffr Abbott Laboratories