Manager, Data Analytics and Machine Learning

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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

augmented Intelligence (augIntel) 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 Analytics Manager will be responsible for building and leading a team focused on Data Engineering, Analytics, and Machine learning solutions. The Manager applies Software Engineering, and DevOps practices to guide the team in building large-scale enterprise data platforms supporting 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:

• Bachelor's degree preferred or equivalent work experience
• Experience managing teams of 10+ resources including full time, contract and/or vendor resources
• 8+ years of experience in Big Data systems, Data Lakes and Analytics related field managing Build & Run teams
• Prefer experience architecting, designing data lakes leveraging cloud services supporting Analytics and ML/AI Solutions
• Prefer experience in Data Movement Technologies and Cloud Data Warehouse technologies including but not limited to experience with GCP, Big Query, Google Cloud Storage.
• Prefer experience in managing BIA Technology Platforms and solutions
• Prefer experience managing teams and service delivery in an ODC (Offshore Delivery Center) setting for MNC (multi-national company)
• Ability to develop individuals along a professional career path
• Excellent oral and written communication skills
• Prefer experience with DevOps Agile practices