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SalaryOverview:
At General Motors Insurance/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. Responsibilities:
The Data Enablement Analyst II 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 responsible for understanding the information landscape of the enterprise, discovering and modeling the organization's information inventory, and providing guidance to business and technical stakeholders with respect to data acquisition, usage, sharing and destruction.
JOB DUTIES
What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Compensation: Competitive pay and bonus eligibility
Work Life Balance: 100% remote
Why General Motors Insurance/OnStar Insurance?
At General Motors Insurance/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 II 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 responsible for understanding the information landscape of the enterprise, discovering and modeling the organization's information inventory, and providing guidance to business and technical stakeholders with respect to data acquisition, usage, sharing and destruction.
JOB DUTIES
- Promote Data Enablement practices across the organization
- 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 implementation of Data Enablement practices and processes
- Gather, document and publish Data Governance metrics
- 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
What makes you a dream candidate?
- You have a working knowledge of various data storage services, including relational databases, content management repositories, shared file systems, etc.
- You are knowledgeable of various information repository types, including metadata, CMDB, business glossary, etc.
- You possess knowledge of data governance best practices and standards and Working knowledge of application and data modeling languages and tools
- You have excellent written and verbal communication skills as well as strong interpersonal skills
- You can work on multiple projects and priorities
- You have strong analytical skills, data querying (e.g. SQL) & reporting skills
- You are able to manage business and technical relationships with internal and external partners at all organizational levels
- You can develop and interpret technical documentation and models, including software and database specifications and identify abstract concepts from concrete designs or implementations
- You are able to elicit requirements from stakeholders, design high-level solutions to address business or technical issues, and guide implementation to completion
- You have exposure to cloud data platforms such as Azure or AWS and can work effectively with minimal supervision
Experience
- Bachelor’s Degree in related field or equivalent work experience required
- 3-7 years of experience in a technical, analytical role, or equivalent required
***We are unable to consider candidates who require visa sponsorship now or in the future for this position.***
What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Compensation: Competitive pay and bonus eligibility
Work Life Balance: 100% remote
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Salary: The base salary range for this role is: USD $77,900.00 to $144,100.00. At GM Financial, we strive for transparency 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. This role is eligible to participate in a performance-based incentive plan. Full time employees are eligible to participate in health benefits on day one of employment.
