General Information

City
Raleigh, Cary
State/Province
North Carolina
Country
United States
Department
Information Management
Date
Wednesday, July 31, 2024
Working time
Full-time
Ref#
20033506
Job Level
Specialist
Job Type
Experienced
Job Field
Information Management
Seniority Level
Mid-Senior Level
Currency
USD - United States - US
Annual Base Salary Minimum
87,480
Annual Base Salary Maximum
174,960
The salary range above represents the low and high end in the local currency of Xerox’s salary range for this position and is reflected in an annualized amount. Actual salaries will vary based on factors including, but not limited to, geographic location, market competition, and/or the successful applicant’s education, experience, knowledge, skills, and abilities. The range listed is just one component of Xerox’s total compensation package for employees. Employees are also afforded a comprehensive suite of benefits, to view those details please visit Xerox Careers for your applicable country. If you are not reviewing this job posting on Xerox Careers, we cannot guarantee the validity of this posting. For a list of our current internal postings, please visit Xerox Careers.

Description & Requirements

About Xerox Holdings Corporation
For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we’ve expanded into software and services to sustainably power today’s workforce. From the office to industrial environments, our differentiated business solutions and financial services are designed to make every day work better for clients — no matter where that work is being done. Today, Xerox scientists and engineers are continuing our legacy of innovation with disruptive technologies in digital transformation, augmented reality, robotic process automation, additive manufacturing, Industrial Internet of Things and cleantech. Learn more at www.xerox.com and explore our commitment to diversity and inclusion.


OVERVIEW


The Data & Analytics Delivery Lead will be responsible for leading the delivery of cross-functional projects using advanced data science and analytics techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. 

Data & Analytics Delivery Lead will work with IT leaders to develop the right data and analytical solution in business domains such as finance, sales, service delivery and supply chain

Ideally this individual will reside in the Raleigh, North Carolina area, but remote employees will be considered as well. 


PRIMARY RESPONSIBILITIES:


  • Lead the development of advanced analytics, AI and data science projects
  • Lead the design of data models, reporting, automation, dashboards, and performance metrics that support key business decisions
  • Support the development teams in implementing complex data & analytical solutions
  • Act as a liaison between business leaders and Project teams
  • Monitoring achievement of strategic, financial, and operational benefits, ensuring planned business outcomes are achieved


EXPERIENCE, QUALIFICATIONS & SKILLSETS:


  • Data & Analytics experience in a lead capacity helping organizations adopt a data and analytics-based decision-making process
  • Working knowledge of Data Warehousing and Business Intelligence, MDM, Data Integration, Cloud Data  Platforms, Reporting and Analytics, and Data Visualization and Storytelling
  • Experience with AI, Data & Analytics tools such as Open AI, Reltio, Talend, Azure Data Factory, Snowflake, and Tableau
  • Experience with AWS and Azure cloud services 
  • Experience with IT transformation
  • AI Machine Learning Experience: using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business
  • Experience in working across end-to-end development, technology, or consulting projects (strategy, discovery, design, development, and deployment)
  • The ability to work in a fast-paced agile environment with minimal supervision



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