Sr Director - Data & Analytics

Industry: Manufacturing


8 - 10 years

Posted 203 days ago

This job is no longer available.

Role Summary: The Sr Director - Data & Analytics will manage a team of Data Analysts, Architects, security, cloud, automation, and Software Engineers and partner with Product Managers to identify product advancement & enhancement opportunities and manages and delivers pre-sales demos and pilots for prospective customers. Essential Responsibilities: Lead cross-disciplinary teamssecurity, cloud, automation,on solving business problems using analytics, typically involving large data sets. These cross-disciplinary teams typically include data scientists, engineers, functional leaders from services,finance, marketing,risk and IT functions that come together to work onapplying data and analytics to drive operational excellence in services. Potential application areas include:

  • Driving operational excellence by using data and analytics to drive visibility, insights and actions to facilitate decision making in sourcing and supply chain functions
  • Driving excellence in finance, marketing, service operations, commercial and risk functions using advanced data & analytics capabilities
  • Enabling customer-oriented analytics offerings You will:
  • Act as thought leader for the use of data and analytics to drive critical business decisions, business strategy and able to serve as coach / mentor for data analysts on the team
  • Lead cross-functional teams, and provide business / functional perspective to data science projects, and support problem scoping and structuring
  • Lead all data related activities (data discovery and organization on SQL/Big data stack, cleansing and data prep) to support development of new data science approaches and methodologies (e.g. neural nets, CART, Bayesian methods, etc.) to improve operations and business outcomes
  • Lead program management, including operationalization of analytic methods and products in functional settings, and drive agile development of new methods and capabilities
  • Ensure customer adoption & drive consumption of analytics, and maximize usage and use of analytics with customers
  • Maintain effective working relationship with business leaders, stakeholders, users and partners to integrate programs into overall strategic objectives
  • Conduct project reviews, feasibility, prioritization, initiation, execution, user acceptance, operationalization for all project work related to the data science program(s)
  • Partner with shared technical and business resources (GRC, IT teams, Engineering, Product Management, Software CoE etc.) to effectively deliver and support solutions
  • Effectively communicate (i.e. status, issues, and escalations) to leadership and other various levels of the organizatio Qualifications/Requirements:

    Basic Qualifications:

  • Bachelor's Degree
  • Minimum of 3 years of experienceworking with Data Management, Business Intelligence, or Data Analytics
  • Minimum 7years of functionalexperience with some/any of the following functions such as software development,finance,risk, services operations, field service, commercial, marketing, and product management

    Eligibility Requirements:

  • Legal authorization to work in the US is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.
  • Pursuant to the Los Angeles/San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records Desired Characteristics:
  • Passionate about driving change and influence across enterprise - security, cloud, automation,
  • Demonstrated ability to lead in a highly matrixed environment
  • Ability to work with cross-functional teams to drive operationalization of analytic products and help teams to transform processes through analytics
  • Strong ability to communicate deep analytical results in forms that resonate with the business collaborators, highlighting actionable insights
  • Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company
  • Ability to acquire any specialized domain knowledge required to be more effective in all required activities
  • Working knowledge of mathematics, statistics, text mining, and modeling skills
  • Willingness to learn and develop critical data science skills (e.g. statistical analyses, advanced data visualization, data mining, and data cleansing/transformation)
  • Working knowledge of Big Data programming environments and Competency in major analytics software packages and programming environments (e.g. Hadoop / Map-Reduce, Mahout; Python, R, Java etc. in Big data paradigms)
  • Hands on experienceworking withdatabase technologies, including Oracle, SAP, SQL / NoSQL platforms, visualization applications such as Spotfire or Tableau
  • Familiarity with writing SQL queries and working withdatabases
  • Green Belt / Black Belt certification

    #DTR About Us: GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.