Enterprise Data Architect

Enterprise Data Architect

Primary Purpose

• Responsible
  for designing and architecting data/MDM solutions, analyzing,
  implementing, and deploying these solutions both on -premises and in the
  cloud. By collaborating with diverse business teams and utilizing
  extensive knowledge of big data tools and products, creates scalable,
  flexible, and comprehensive data solutions that tackle complex business
  challenges.
  

​Major
Responsibilities

• Manage
  the technical delivery of medium to large, moderately complex projects
  on -time with targeted zero defects.
  
• Provide
  planning, estimation, scheduling, prioritization and coordination of
  technical activities related to Enterprise -wide data solutions on both
  cloud and on premises.
  
• Ensure
  solutions alignment to Enterprise Architecture policies and best
  practices; ensure that process methodologies are followed in development.
  
• Accountable
  to business and technology management for end -to -end application scoping,
  planning, development and delivery that meets and exceeds quality
  standards.
  
• Identify
  and manage dependencies and downstream impacts of the project to minimize
  adverse effects on other projects and / or programs.
  
• Assist
  Project manager with the estimation of technical timelines and allocation
  of the technical resources to specific task.
  
• Communicate
  Expectations, Roles and Responsibilities to team members and hold them
  accountable to meet the expectations.
  
• Collaborate
  with IT partners to devise capacity plan and ensure appropriate
  infrastructure for the end -to -end system delivery.
  
• Supervise
  contingent workers and their daily tasks including onshore and offshore
  staff.
  
• Identify
  valuable data sources and automate collection processes.
  
• Maintain
  data accuracy and timeliness, a critical highly visible aspect of the
  position as it impacts supply chain and sales effectiveness, financial
  performance of the business, and customer perception through on -time
  delivery, working capital, financial reporting accuracy and product
  quality.
  
• Architect
  and design master data to drive towards “Single source of the truth”.
  
• Regularly
  monitor and measure performance of MDM standards.
  
• Performs
  problem and trend analyses to identify and correct problems and increase
  data quality.
  
• Review
  / Approve execution of data changes.
  
• Track
  and report through the CAB review board.
  
• Develop
  SLA’s and ensure they are met.
  
• Drive
  data mapping workshops for migrations.
  
• Coordinate
  and participate in the ETL (extract, transform, load) process for any
  migrations.
  
• Plan
  and architect M&A initiatives and integrations