Artificial Intelligence Jobs - VP Data Analytics, 783

at ExecuNet
Location Portland, OR
Date Posted February 9, 2020
Category Default
Job Type Full-time

Description

Job Summary

As the Vice President of Data & Analytics, you will develop the business of data for Company and the construction industry at large.  You will be our data strategist and evangelist, leading Company’s delivery of new analytics and data solutions which will provide entirely new capabilities for customers to leverage historic project data to better manage risk and profitability. Building upon the wealth of data being managed via Company solutions, you will build upon and create a strong vision and strategy for data and analytics solutions and services for Company customers and the construction industry at large.  You will lead the creation of products and services related to business intelligence, company and industry benchmarking, and predictive and prescriptive analytics to optimize future outcomes. You will build upon your inherent understanding of data related businesses combined with high touch engagement with customers and other subject matter experts.

In this role, you’ll inspire and collaborate across all areas of Company as well as work directly with our clients, other market leaders and the broader Trimble organization.  You will provide a business and technical vision on how to utilize the latest advancements in Artificial Intelligence, Machine Learning, Predictive Analytics and related technologies and processes to advance the state of the construction industry. 

Key Responsibilities

  • Define analytics offerings that will allow clients to view and interact with their data to make business decisions
  • Define Benchmarking capabilities that will allow clients to compare themselves to companies similar to them 
  • Create predictive models that allow clients to make future business decisions
  • Leverage Artificial Intelligence, machine learning, and other analytical techniques to offer actionable insights 
  • Lead the development of prescriptive models that make recommendations for clients based on best practices surfaced through the analysis of industry data
  • Define data best practices and play a key role in building a data-driven culture throughout Company
  • Be a thought leader and evangelist to drive adoption and knowledge of analytics solutions at all levels of the organization
  • Provide technical leadership across the organization
  • Develop and implement strategies to support ongoing data management needs, such as governance, technology shifts, and regulatory compliance 
  • Provide timely input and direction on information requests for one-off activities, such as acquisition, partnership analysis and new product initiatives
  • Develop a data science organization to support data analysis and data governance

Requirements

  • A visionary, able to connect vision to strategy to action
  • At minimum a bachelor’s degree in mathematics, computer science, or engineering
  • 10+ years of experience working  in software product management with SaaS software experience
  • Prefer a minimum of 5 years working in data and analytics services such as business intelligence or other “big data” applications
  • Proven track record of successfully leading product business planning, product definition, product delivery and product go to market.
  • Led one or more predictive, prescriptive, and/or AI projects that are now in market
  • Technical domain knowledge of Artificial Intelligence, Machine Learning, and Big Data
  • Self-directed with ability to work effectively under pressure and with competing priorities
  • Lead the execution of short and near-term strategies critical to the organization’s success
  • Able to create investment strategies with medium to long-term ROI
  • Understanding the challenges associated with capturing, moving, storing and mining complex data sets
  • Deep understanding of data privacy and the security required of client data

Special Attention Given to Candidates with:

  • Business domain knowledge of the construction industry 
  • MBA
  • Certified Analytics Professional
  • SAS Certified Predictive Modeler
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