Data Enablement Analyst I- OnStar Insurance Job at GM Financial
Overview:
Why OnStar?
At OnStar 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.
About the role:
The Data Enablement Analyst will partner 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 OSI business information. This role is expected to be a hands-on practitioner. It is responsible for executing on Data Governance initiatives and enhance the recognized value of Data Governance within the organization. Responsibilities:
This role will participate in the implementation of Data Governance capabilities through practiced application.
Practical Application
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Opportunity to work exclusively remote.
Why OnStar?
At OnStar 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.
About the role:
We are expanding our efforts into complementary data technologies for decision support in areas of ingesting and processing large data sets including data commonly referred to as semi-structured or unstructured data. Our interests are in enabling data science and search-based applications on large and low latent data sets in both a batch and streaming context for processing. To that end, this role will engage with team counterparts in exploring and deploying technologies for creating data sets using a combination of batch and streaming transformation processes. These data sets support both off-line and in-line machine learning training and model execution. Other data sets support search engine-based analytics. Exploration and deployment of technologies activities include identifying opportunities that impact business strategy, collaborating on the selection of data solutions software, and contributing to the identification of hardware requirements based on business requirements. Responsibility also includes coding, testing, and documentation of new or modified scalable analytic data systems including automation for deployment and monitoring. This role participates along with team counterparts to develop solutions in an end-to-end framework on a group of core data technologies. Other aspects of the role include developing standards and processes for data engineering projects and cloud initiatives.
The Data Enablement Analyst will partner 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 OSI business information. This role is expected to be a hands-on practitioner. It is responsible for executing on Data Governance initiatives and enhance the recognized value of Data Governance within the organization.
JOB DUTIES
- Promote Data Enablement practices across the organization
- Collaborate with business and technical data citizens to maintain an active understanding of OSI information assets and related processes and activities
- Participate in OSI policy and standard development and review
- Gather, document and publish Data Governance metrics
- Manage and publish Data Enablement communications
- Assist in the development and delivery of Data Enablement education for the OSI 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
- Perform other duties as assigned
- Conform with all company policies and procedures
This role will participate in the implementation of Data Governance capabilities through practiced application.
This role will interact with product-oriented execution teams on a regular basis and will need to clearly communicate and demonstrate the value of Data Governance.
Practical Application
- Execute Data Governance initiatives to address information-related pain points.
- Collaborate with business and technical data citizens to maintain an active understanding of OSI information assets and related processes and activities.
- Perform existing data governance activities and recommend enhancements to align with GMF policies and standards.
- Execute the administration of key Data Governance functions including Stewardship, Data Quality, Data & Report Certification, and Data Literacy.
- Serves as a steward of the OSI metadata repository by assisting in the gathering and articulation of metadata, testing of metadata in systems, and training staff to properly create and manage metadata in accordance with OSI’s Stewardship Framework.
Knowledge
- Working knowledge of various data storage services, including relational databases, content management repositories, shared file systems, etc
- Working knowledge of various information repository types, including metadata, CMDB, business glossary, etc
- Working knowledge of data governance best practices and standards
Skills
- Excellent written and verbal communication skills
- Strong interpersonal skills
- Ability to work on multiple projects and priorities
- Ability to work effectively with minimal supervision
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Strong analytical skills
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Excellent written and verbal communication skills
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Strong data querying (e.g. SQL) & reporting skills
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Strong interpersonal skills
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Ability to manage business and technical relationships with internal and external partners at all organizational levels
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Ability to develop and interpret technical documentation and models, including software and database specifications
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Ability to identify abstract concepts from concrete designs or implementations
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Ability to elicit requirements from stakeholders, design high-level solutions to address business or technical issues, and guide implementation to completion
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Ability to work effectively with supervision
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Exposure to cloud data platforms such as Azure or AWS
Education
- High School Diploma required
- Bachelor’s Degree in related field or equivalent work experience required (Ideally in Data Governance, Library Science, Computer Science, or other quantitative/qualitative Business discipline.)
Experience
- 1-3 years of experience in a technical or analytical role
- 1 - 3 years of experience in a formal Data Governance role
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Working knowledge of various data storage services, including relational databases, content management repositories, shared file systems, etc.
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Working knowledge of application and data modeling languages and tools
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Working knowledge of various information repository types, including metadata, CMDB, business glossary, etc.
Working Conditions
- Hybrid office/home environment
- Flexible schedule with possibility of working long hours including weekends/holidays, occasional overtime or split shifts may be required
- Limited travel may be required to support business needs
What we offer: Fully Remote, 401K, Benefits Effective First Day, Pet insurance
Our Culture: Our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Work Life Balance: Flexible Remote Work Environment
Benefits Package: Generous benefits package
At GM Financial, we strive for equity in all aspects of our business, including pay equity. This is the GM Financial pay range for this role and job level. The exact salary and compensation will vary based on factors like knowledge, skills, experience and education.
Compensation: $65,600 - $121,300 base + bonus
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