Sr Data Enablement Analyst - General Motors Insurance

Why General Motors Insurance?

At General Motors Insurance, we are building an Insurtech business that will reinvent auto insurance. We are fully owned and backed by auto industry leaders General Motors and GM Financial.  

This is a truly unique opportunity to join at the foundational stage of a start-up leading the transformation of the auto insurance experience.  

GM has the largest connected vehicle fleet worldwide. In the US alone, there are currently 9M+ connected GM vehicles on the road and that number is projected to triple in the next 10 years. More than that, the OnStar system currently has access to over 900 data points from the vehicle. This surge in information about vehicles and how they are driven will revolutionize auto insurance. This disruption is backed by the bold GM vision of zero crashes, zero emissions and zero congestion. We are serious about the safety and financial security of our customers.

This position will remain posted until filled.

The Data Enablement Analyst partners with business and technical stakeholders to increase data literacy, provide guidance on information-related issues, and ensure the organization has the appropriate governance in place related to the management and usage of business information.  This role is expected to take an active leadership role in the development and refinement of GMF Data Enablement strategy and implementation.  It is responsible for the coordination of Data Enablement initiatives and the identification of new opportunities to enhance the recognized value of Data Enablement within the organization.

In this role you will:

• Assist in the development of GMF Data Enablement strategy
• Define and promote Data Enablement practices across the organization
• Identify new opportunities to enhance the value of the organization’s information
• Lead Data Enablement strategic initiatives to address information-related pain points
• Collaborate with business and technical data citizens to maintain an active understanding of GMF information assets and related processes and activities
• Analyze existing data governance activities and recommend enhancements to align with GMF policies and standards
• Identify data governance process gaps and work with stakeholders to design solutions to address them
• Recommend and develop data governance policies and standards organization-wide
• Participate in GMF policy and standard development and review
• Lead administration of key Data Enablement functions including Metadata Management, Stewardship, Data Quality, Data & Report Certification, and Data Literacy
• Assist in the development and delivery of Data Enablement education for the GMF enterprise
• Serves as the steward of the metadata repository by assisting in the gathering and articulation of metadata , planning testing of metadata in systems, and training staff to properly create and manage metadata
• Apply agile values and principles, and help drive the team and organization to higher levels of agile maturity
• Assisting with internal and external communication, improving transparency, and radiating information
• Facilitating getting the work done without coercion, assigning, or dictating the work
• Facilitating various Scrum and/or Kanban activities such as: Daily Scrum, Sprint Planning, Sprint Reviews, and Sprint Retrospectives
• Working closely with the Product Owner to ensure product backlog is visible and prioritized towards business value

What makes you an ideal candidate?

• Robust knowledge of data governance best practices and standards
• Working knowledge of various data storage services, including relational databases, content management repositories, shared file systems, etc.
• Working knowledge of application and data modeling languages and tools
• Working knowledge of various information repository types, including metadata, CMDB, business glossary, etc.
• Exposure to cloud data platforms such as Azure or AWS
• Must exhibit expert knowledge of agile frameworks including Scrum and Kanban
• Strong analytical skills
• Excellent written and verbal communication skills
• Strong data querying (e.g. SQL) & reporting skills
• Strong interpersonal skills
• Ability to manage business and technical relationships with internal and external partners at all organizational levels
• Ability to develop and interpret technical documentation and models, including software and database specifications
• Ability to identify abstract concepts from concrete designs or implementations
• Ability to lead meetings with various stakeholders and SM