▷ [Apply in 3 Minutes] Manager, Data Science

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE : CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500.

Department Overview

Advanced Analytics and Automation Portfolio builds automation, analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth opportunities. The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities.

Job Overview

The Data Science Manager will be responsible for leading a team focused on AI and Machine learning solutions. The Manager applies Software Engineering, and DevOps practices to guide the team in building large-scale enterprise Analytics and Machine Learning solutions leveraging Google Cloud technologies.

The Manager brings in a product mindset and leverages AGILE practices to craft and drive iterations to support building new capabilities, addressing gaps and drive automations for Data Platforms and solutions.

Additionally, the Manager brings in a Service Provider mindset, demonstrate exceptional interpersonal skills, strong leadership, relationship management to build a strong and cohesive team that focuses on building new capabilities and operations. The Manager will work closely with business product owners, business leadership, and individual business users to ensure augIntel capabilities are consistently delivered.

Responsibilities

• Identify high-value ML business opportunities and work with Business and IT stakeholders to realize business benefit.
• Focus on driving outcomes for the business by defining success and by setting the right goals, metrics and processes to objectively quantify, measure and track impact.
• Manages department operations and supervises professional employees, vendor resources and / or business support staff
• Responsible for recruiting, staffing, coaching, and developing talent within the team.
• Responsible for setting a practice that helps deliver industrialized Data transformation capabilities and operations to support Analytics and AI / ML solutions
• Responsible for managing enterprise scale Data platform operations (Data, Analytics and MLOps)
• Planning, demand management, budgetary management, and operational metrics for Data Platforms.
• Manages expectations with key stakeholders, builds and fosters relationships
• Participates in the development of policies and procedures to achieve specific goals
• Ensures employees operate within guidelines
• Applies data aggregation, descriptive analysis and data presentation techniques and tools to communicate complex findings and recommendations to influence others to act.
• Demonstrates ability to communicate complex information clearly and concisely to a variety of audiences and mediums.
• Manages the financial aspects of the team, including onsite and offshore hourly rates, cloud costs, travel and training costs, timecards, SOWs, monthly MSA and staff augmentation approvals
• Applies lean and agile principles to their leadership, and guides their team through continuous improvement

Desired Qualifications

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity / expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.