IS Manager - Data Science

Job Summary:

The IS Manager is responsible for planning, leading, organizing, and motivating the data science teams within the Connected Program to achieve a high level of performance and quality in delivering exceptional business value to users.  

The IS Manager is expected to lead and manage the development, deployment, and support of new and existing capabilities as it relates to artificial intelligence and business intelligence software, services, and platforms and integrated systems/solutions to meet the current and future needs of the business.

This role is responsible for managing agile team in a high visibility global program (Connected) using various methods in a fast-paced environment that crosses multiple business divisions and operating companies globally.

The IS Manager may play many different roles in actual practice: 


* At an enterprise level, leading and managing large, complex technical deliverables consisting of multiple cross functional teams delivering AI and BI-driven predictions and recommendations to business users


* At a team level, orchestrate the continued formation and success of a high performing group of individuals with disparate technology backgrounds and skills with the purpose of producing the highest quality AI and BI solutions


* Drive the successful delivery of product-based initiatives across multiple teams and release trains 

In-office presence required at least 4 days per week 

Responsibilities

Essential Functions:


* Drive team members to develop practices and processes that optimally advance the translation of effort into value creation; minimize total cost of ownership by establishing high bar on quality including test driven development, continuous integration, and automated unit testing; establish metrics to measure and help the teams improve


* Provide input to assist the Delivery Manager to implement Best Practices, SDLC standards, and champion ongoing process improvement initiatives to implement best practices.


* Work closely with the Enterprise Data team to collaborate on data governance standards, platforms, and shared data models


* Establish direction and clear sense of meaning to inspire teams in creating their own connection and passion to the business goals


* Act as technology owner, accountable for development and configuration implementation of capabilities related to data science, machine learning, Salesforce, Snowflake, Google Cloud Platform, Elasticsearch, and other related platforms


* Partner with Platform Architect, Product Owners and Business Sponsors in providing transparency in execution and monitoring within delivery plans. 


* Manage deliverables, status, and quality elements throughout the lifecycle for work efforts that may span multiple functions, departments, and processes


* Identify risks, create mitigation plans and drive deliverables for production launches and articulate any operational/performance gaps needing...