Engagement Lead

Comerit; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Comerit is seeking an Engagement Lead to drive data governance initiatives for clients in a fully remote US-based role, guiding governance platforms and analytics assets through their maturity curve.

You will perform gap analyses, develop implementation plans, and collaborate with the COE to define data domains, standards, taxonomies, metadata, security practices and change management required to manage new developments and maintenance.

Qualifications

• 5-10 years Data Governance project experience and lead role driving data governance at clients.

Responsibilities

• Review and analyze or develop governance documents and artifacts.
• Guide governance platforms and analytics assets through maturity.
• Collaborate with COE to define standards, data models, metadata and security practices.
• Develop implementation plans and change management strategies.

Skills

Data governance

Gap analysis

Project leadership

Stakeholder management

Job description

This is a remote position. The Engagement Lead will help the client's BI platform advance in the maturity curve and assist COE team on their goal of effectively managing new developments and maintenance going forward. The client and Comerit will work together to build a governance platform to make analytic assets searchable and establish a process to facilitate data integration with data available in Marketplace. The person in this role will perform Gap Analysis against industry standards and frameworks, Develop Implementation Plan, and a High level approach for change management and training.

You will Review and analyze or develop the following documents/artifacts:

• Criteria for determination of authoritative data domains
• Data domain inventories
• Data governance organization charts, operating structure, roles, and responsibilities, RACI matrix
• Process design artifacts and procedure guides
• Data review and approval process
• Data management policies and standards
• Process for defining and maintaining standard data models, definitions, classifications and taxonomies
• Metadata repository with required structural, descriptive and administrative attributes
• Metadata record identifying the data consumer(s) of a data element (including third party)
• Current security practices to protect sensitive information

Requirements

• 5-10 years Data Governance project experience and lead role driving data governance at clients

Originally posted on Himalayas