Specialist, Clinical Planning and Performance

Abbott • Maple Grove, MN

3d • Onsite

About The Position

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.

Requirements

• Associates Degree
• 1 year related experience

Nice To Haves

• 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, 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.

Responsibilities

• 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.

Benefits

• 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 history of being actively involved in local communities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree