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Tier-1 employer, mid-level popular data/AI role, metro location and generalist requirements increase competition.
Healthcare reporting governance plus AI specialization reduces transferability across industries.
Mandatory 7+ years plus required SQL, Python, BI and AI experience creates strict filtering.
Lead data governance efforts including reporting governance, metric standardization, and data quality management at enterprise scale.
Drive advanced analytics initiatives such as trend analysis, predictive modeling, and insightful storytelling to influence business decisions.
Develop and implement AI-powered analytics solutions including generative AI applications, conversational AI, and responsible AI practices to enhance reporting and insights.
Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, Information Systems, or related field.
7+ years of experience in data science, advanced analytics, business intelligence, or related disciplines.
5+ years experience developing executive-level reporting and decision-support solutions.
Proficient in Power BI or Tableau, SQL, Python; experience with large, complex datasets and building reporting governance frameworks; experienced in leveraging AI and machine learning in analytics.
Experienced leader capable of defining and enforcing data governance and quality standards across large enterprises.
Proven track record in translating advanced analytics and AI techniques into business-impacting insights and reporting solutions targeting senior stakeholders.
Familiarity with enterprise platforms and tools such as ServiceNow, Amazon Connect, Microsoft Fabric, Databricks, or Snowflake is preferred but not mandatory.