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Tier-1 brand, metro location, and broad analytics leadership skills create moderately strong applicant competition.
Strong data science and analytics leadership skills are transferable, though healthcare regulatory knowledge increases domain specificity.
Explicit 8-9 years leadership experience plus required ML, analytics, and tooling makes shortlisting highly selective.
Lead and mentor the analytics team, delegating tasks and optimizing team performance to meet project and business goals.
Analyze complex datasets using advanced statistical and machine learning techniques to deliver strategic business insights.
Develop, maintain, and improve predictive models and visualizations with tools like Python, R, and Palantir, presenting findings to senior stakeholders to influence decisions.
Bachelor's or Master's degree in Information Management, Information Systems, Computer Science, Data Analytics, or equivalent.
8-9 years of people leadership experience in relevant data analytics or modeling roles.
Proficiency with statistical methods, machine learning, SQL, and business intelligence tools.
Full-time onsite work presence required at company facilities (office-based role with minimum 3 days per week onsite).
Experienced leader capable of managing and developing analytics teams while driving accountability and collaboration.
Skilled in advanced data science techniques and building scalable data models integrated across cross-functional teams.
Comfortable communicating complex analytical insights clearly to senior stakeholders and driving strategic decision-making.