Specialist Clinical Planning Performance positions focus on delivering results in their domain. This page aggregates open Specialist Clinical Planning Performance roles and what employers typically expect.
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. ## **JOB DESCRIPTION:** Job DescriptionFor years, Abbott’s medical device businesses have delivered technologies that are faster, more effective, and less invasive. Whether through glucose monitoring systems, innovative therapies for heart disease, or solutions for chronic pain and movement disorders, our technologies help people live healthier, better lives. Every day, our innovations help more than 10,000 people maintain healthier hearts, improve quality of life for thousands living with chronic conditions, and free more than 500,000 people with diabetes from routine fingersticks.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.Working closely with cross-functional partners, this individual will help develop scalable approaches, evaluate tradeoffs, and translate analytical findings into clear recommendations, adoption plans, and sustainable improvements.**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:** - Associates 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 (e.g., 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, simula…