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