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