Associate Director, Strategic Analytics and Applied AI - Remote
- Salary not listed
- Posted 3 days ago
Hiring in some regions only
Lead strategic analytics and AI initiatives to drive health outcomes
Design and deliver strategic analyses and AI-enabled solutions to convert operational and market data into actionable insights. You'll frame business questions, build analytical pipelines, and translate technical results into executive-ready narratives. This role offers a high-impact chance to advance health outcomes through data-driven insights at scale.
Key Responsibilities
- Design and deliver strategic analyses and AI-enabled solutions to convert operational and market data into actionable insights
- Frame ambiguous business questions, define success criteria, and build rigorous analytical and implementation plans
- Create scalable analytical pipelines integrating multiple data sources and automating processing
Requirements
- 10+ years in applied data science, analytics, or related field
- Advanced proficiency with Python and SQL
- Experience leading complex analytics or tech-enabled projects from problem definition to stakeholder communication
Required Skills
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Original description from the original listing
Eden Prairie, Minnesota (United States) Overview In this role, you will lead strategic analytics and AI-enabled initiatives to guide enterprise priorities, resource allocation, and transformation. You will act as a trusted expert across analytics, AI, data engineering, and business strategy, translating complex findings into practical guidance for leadership and operations. You will shape reusable methods, mentor colleagues, and drive scalable decision support. This position offers a high-impact chance to advance health outcomes through data-driven insights at scale. Compensation / Benefits comprehensive benefits package equity stock purchase plan 401(k) contribution incentive and recognition programs career development opportunities remote work flexibility Responsibilities Design and deliver strategic analyses and AI-enabled solutions that convert operational and market data into actionable insights Frame ambiguous business questions, define success criteria, and build rigorous analytical and implementation plans Create scalable analytical pipelines integrating multiple data sources and automating processing Prototype and operationalize solutions using Python, SQL, R, APIs, and visualization tools with reproducibility and quality controls Translate technical results into concise, executive-ready narratives for non-technical audiences Develop evaluation frameworks and measurement approaches for organizational performance and risk Lead cross-functional workstreams, review deliverables, and mentor analysts/data scientists Partner with stakeholders to design adoption and feedback mechanisms for sustainable improvement Provide clear explanations of model behavior, data limitations, and operational implications Key requirements Undergraduate degree or equivalent experience 10+ years in applied data science, analytics, or related field Experience leading complex analytics or tech-enabled projects from problem definition to stakeholder communication Experience designing or implementing analytics, ML, AI-enabled automation, or decision-support workflows Experience building repeatable data pipelines, automated reporting, or decision-support systems Experience translating technical findings for executive or non-technical audiences Experience mentoring or supervising analysts or technical team members Advanced proficiency with Python and SQL; experience with R or similar tools Ability to work independently and anticipate stakeholder needs Stakeholder management Mentoring and coaching Strategic thinking and problem solving Python SQL R
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