Data Governance Systems Designer

International Business Machines Corporation; Boston (KY); Remote; USD 110,000 - 170,000; Full time

Job summary

International Business Machines Corporation (IBM) Consulting seeks a Data Governance Designer to define and operationalize governance for data products within a large modernization program. You will shape definitions, ownership, quality rules, and metadata to build a trusted, auditable platform.

Responsibilities include glossaries, lineage, quality rule design, and collaboration with modelers and engineers to align logical models with governance. Travel up to four days weekly is required.

Qualifications

• Must travel 4 days per week.
• Strong expertise in data governance, data analysis, or data management.
• Hands-on experience with governance tools such as Collibra, Alation, Purview or similar; plus Databricks Unity Catalog and AWS data platforms.
• Expertise in business glossaries, metadata management, data lineage, data quality frameworks, and governance technologies.
• Strong SQL and data-profiling skills with data modelling tools such as Erwin or ER Studio.

Responsibilities

• Define and maintain the business glossary, data elements, and data ownership/stewardship models.
• Document data lineage, metadata, and classification for data products across AWS/Databricks and SAP-sourced data.
• Design data quality rules, thresholds, and monitoring with data product owners and engineers.
• Ensure data models (Erwin/ER Studio) align with governance standards.
• Apply governance policies in Databricks Unity Catalog and in tools like Collibra if adopted.
• Run governance workshops and stewardship forums with business and IT stakeholders.
• Support compliance, privacy, audit needs, and report governance metrics.
• Design and maintain data governance and data management processes for data quality and metadata management.
• Analyze stakeholder needs and craft communications to drive adoption of governance processes.
• Create metadata repositories capturing business and data quality rules; produce data quality reports and dashboards.
• Collaborate with technical teams to implement data quality rules and automate monitoring and reporting.
• Operate issue tracking and facilitate resolution of data-related issues with the client.

Skills

Data governance

Data analysis

Data management

SQL

Collibra

Databricks

Erwin/ER Studio

Documentation

Stakeholder facilitation

Tools

Collibra

Alation

Purview

Databricks Unity Catalog

AWS data platforms

Job description

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

Data Governance Systems Designer with a data governance focus to define and operationalize governance for data products built in a large data modernization program. You will design the data definitions, ownership, quality rules, and metadata that make the new platform trusted and auditable.

Responsibilities

• Define and maintain the business glossary, critical data elements, data definitions, and data ownership/stewardship models.
• Document data lineage, metadata, and classification for data products across AWS/Databricks and SAP-sourced data.
• Design data quality rules, thresholds, and monitoring requirements with data product owners and engineers.
• Work with data modelers and engineers to keep logical models (in Erwin / ER Studio, where used) aligned with governance standards.
• Apply governance policies in Databricks Unity Catalog (access, classification, lineage), and in a governance tool such as Collibra if it is adopted.
• Run governance workshops, issue-resolution processes, and stewardship forums with business and IT stakeholders.
• Support compliance, privacy, and audit needs, and report on governance metrics.
• Design, implement, and maintain data governance and data management processes for the client, covering data quality and metadata management.
• Analyze stakeholder needs, develop communication plans, and execute communications to support successful adoption of data governance processes.
• Design and implement metadata management repositories that capture business and data quality rules, and create data quality reports and dashboards.
• Collaborate with technical resources to implement data quality rules and automate monitoring and reporting.
• Operate issue tracking processes and facilitate prompt resolution of data-related issues with the client.

This job can be performed from anywhere in the US

Required Technical And Professional Expertise

• Must be able to travel 4 days per week (mandatory).
• Strong professional expertise in data governance, data analysis, or data management, with demonstrated ability to apply governance principles in complex enterprise environments.
• Hands-on experience with Collibra, Alation, Microsoft Purview, or similar governance/catalogue tools, along with Databricks Unity Catalog and AWS data platforms.
• Expertise in business glossaries, metadata management, data lineage, data quality frameworks, and governance technologies.
• Strong SQL and data-profiling skills, with knowledge of data modelling and tools such as Erwin or ER Studio.
• Experience defining and automating data quality rules, monitoring, reporting, and issue management, including governance of unstructured and streaming data.
• Strong stakeholder facilitation, documentation, communication, and cross-functional collaboration skills.

Preferred Technical And Professional Experience

• Experience integrating data governance and data-quality processes with enterprise systems, monitoring, and reporting.
• Knowledge of Amazon EventBridge, Apache Kafka, Amazon SQS, and governance of near-real-time and real-time data.
• Knowledge of SAP-native data products, SAP governance concepts, and SAP IS-U.
• DAMA/CDMP certification and/or experience in the utilities or energy industry.
• Experience building metadata repositories, data-quality dashboards, and integrated governance reporting.