MetLife

Role Value Proposition:

The MetLife Data Governance Office (MDGO) is part of the Data and Analytics Organization (DnA) within GTO. Our mission is to implement an enterprise-wide model for the governance of data at MetLife to ensure consistency of usage and a high level of confidence in data-driven analytics and decision-making capabilities. To achieve this, we are partnering with other Data and Analytics (DnA) teams, Technology, and our business and functional partners to build and deploy the next generation data capabilities for MetLife as we head into our New Frontier strategy! 
 
 We are looking for a MDGO Data Governance Stakeholder Engagement lead with a track record of supporting enterprise data management policies/procedures, tools and integration projects. To be successful in this role, the candidate would require a balance of product-centric technical expertise, and a deep knowledge of DG practices, which includes but not limited to metadata management, metamodeling, lineage documentation, data stewardship, and technical DQ processes. 

Success in this role requires very clear communication skills, with an emphasis on empathy and interaction with senior business and IT partners around the world as well as peer program stakeholders, and technical staff. This role will collaborate closely with stakeholders across business lines, corporate functions, and partners in InfoSec, Risk, Privacy and more to ensure tight connections across our globally federated teams. 
 

Key Responsibilities

• Lead engagements with leaders across MetLife, serving as the face of the MetLife Data Governance Office, to ensure their success in implementing MetLife’s Data Governance and Data Quality policies, standards and best practices.
• Coordinate in guiding program data governance implementation.
• Interact with business analysts and functional analysts offering expertise and guidance regarding requirements and implementation. 
• Collaborate with the extended program team and provide expertise regarding proposals including high level data solutions, estimates and implementation plans.
• Provide support to program teams throughout the data lifecycle around data governance, ownership accountability, responsibility, data quality and data quality issue management
• Appetite to learn new technologies and be inclined to innovate.

Essential Business Experience and Technical Skills: 

Required: 

• Excellent communication skills: Demonstrated ability to explain complex data governance and quality content to both technical and non-technical audiences.  
• Experience as SME consulted for guidance on Data Governance and Quality practices and tooling.
• Demonstrated experience in providing support for Data Governance processes preferably either financial or insurance company setting.
• Strong project management skills. Experience working enterprise complex large scale, multi-team, programs.
• Bachelor’s degree in data management, data sciences, computer science or related field

Preferred: 

• 5+ years’ experience in enterprise-wide implementation of Data Governance, Data Quality or Data Management programs. 
• Strong technical program management skills.
• Experience with Collibra, Ataccama, EDC, IDQ and other Data Management tools.
• EDMC DCAM/CDMC Certified
• Expertise in Python and experience writing Azure functions using Python/Node.js.

At MetLife, we’re leading the global transformation of an industry we’ve long defined. United in purpose, diverse in perspective, we’re dedicated to making a difference in the lives of our customers.