Remote Data Analytics & AI Decision Science Manager

Cardinal Health

Boise (ID)

On-site

USD 107,000 - 152,000

Full time

8 days ago

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Benefits offered by this job

Medical benefits
PTO
HSA
401k plan
MyFlexPay access
FSAs
Disability coverage
Work-Life resources

Job summary

Cardinal Health is seeking a Manager of Data Analytics & Decision Science to lead a team that turns data into insights driving better decisions and measurable outcomes. The role evolves analytics from reporting to understanding why things happened and what to do next, partnering across analytics, operations, technology and strategy.

The manager will modernize the team with Databricks, automation and AI-enabled analytics, requiring strong people leadership and business partnering across multiple

Qualifications

  • Translate business problems into analytical questions and recommendations.
  • Lead and develop analysts or analytics teams.
  • Experience with Databricks or similar cloud analytics platforms.
  • Strong SQL and BI tooling knowledge.
  • Healthcare/pharma or related industry experience.

Responsibilities

  • Lead, coach, and develop a high-performing analytics team.
  • Partner with business leaders to identify key questions and opportunities analytics can support.
  • Deliver insights that improve patient, operational, customer, and financial outcomes.
  • Develop cross-business analytics to identify trends and leading indicators.
  • Communicate complex findings clearly to senior leaders and nontechnical audiences.
  • Collaborate with data engineering, technology, governance and other teams to ensure trusted data.

Skills

Leadership
Analytics
Databricks
SQL
BI tools
AI/Generative AI
Healthcare/pharma
People management

Education

Bachelor's degree in analytics or related field

Tools

Databricks
Tableau
Power BI

Job description

Cardinal Health is seeking a Manager of Data Analytics & Decision Science to lead a team that turns data into insights driving better decisions and measurable outcomes. The role evolves analytics from reporting to understanding why things happened and what to do next, partnering across analytics, operations, technology and strategy.

The manager will modernize the team with Databricks, automation and AI-enabled analytics, requiring strong people leadership and business partnering across multiple

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