General Motors
Location
Work from home | India
Job description
This role is based remotely but if you live within a 50-mile radius of Warren, MI, you are expected to report to that location three times a week, at minimum
The Role:
General Motors is a forward-thinking organization dedicated to harnessing the power of data to drive business growth and innovation. We are looking for an accomplished Lead Architect with a strong background in creating data assets, developing data products, and a robust release management practice that allows GM to implement machine learning models. As a pivotal member of our technology leadership team, you will play a key role in shaping our data architecture strategy and ensuring the successful delivery of insights that contribute to the organization's financial success.
This role focuses on the day to day Operations of the GM "Insight Factory" - including End to End health of the data ecosystem.
What You'll Do:
Data Architecture and Strategy:
Lead the development and execution of the overall data architecture strategy. (Azure based with Databricks at this time)
Design and implement robust data assets, ensuring scalability, reliability, and performance.
Add functionality/expand the limits of functionality of GitHub Enterprise, GitHub Actions, Git Flow (including CoPilot)
Build additional functionality into the existing CICD to produce reliable release artifacts that allow us to control the quality of code in our environment.
Work closely with the Operations Lead to implement APM that allows for the creation and monitoring of “End to End” timing charts – every step and no step missed.
Work with Infra Leads to implement deployment isolation and release best practices to ensure smooth, frequent releases with appropriate rollback.
Data Product and ML Model and Application Development:
Oversee the creation of data products that leverage the organization's data assets.
Lead the development and deployment of machine learning models that enhance decision-making processes
Leverage our existing stack – including ML Flow - to implement ML Ops and create a model registry.
Develop approach to support Dev,Test,PreProd and Prod environment release process.
Integration with Dashboards and Applications:
Collaborate with cross-functional teams to integrate data assets, data products, and ML models into dashboards and applications.
Ensure seamless interaction between data components and front-end applications.
Insight Generation and Monetization:
Play a pivotal role in generating actionable insights from data products and ML models.
Work closely with business stakeholders to identify opportunities for monetizing data assets and insights.
Hands-on Leadership:
Be hands-on with the creation and implementation of data assets, data products, and ML models.
Mentor and guide a team of skilled professionals in adopting best practices and achieving project goals.
Continuous Innovation:
Stay abreast of emerging trends and technologies in data architecture, machine learning, and analytics.
Drive continuous innovation in the development of data assets and ML models.
Your Skills & Abilities (Required Qualifications):
Proven experience as a Lead Architect with a focus on creating data assets, developing data products, and implementing ML models.
1.5 years of operating experience with Cloud Based Production AI/ML/Data Systems.
Proven ability to create an end to end Threat Analysis with a Threat Modeling tool.
Experience in creating key rotation automation.
Experience running the security perimeter of Azure app services or equivalent.
Ability to create complete Architecture Diagrams in Lucid or Visio - for review by Enterprise Architecture Review Board.
Experience creating end to end Data Flow Diagrams.
Experience with running various caching approaches to achieve sub 200MS response times.
Direct experience instrumenting "every hop" in a data ecosystem via Healthcheck heartbeat monitors that are API ready and can be rolled up into a single pane of glass health dashboard.
Requirements/Tools: Azure, Databricks, CICD, APM, Hands on keyboard capability - Python preferred
Strong understanding of data architecture principles, including data modeling, ETL processes, and data warehousing.
Experience with machine learning frameworks and tools, with a track record of successful model development and deployment.
Proficiency in integrating data assets with dashboards and applications to deliver actionable insights.
Excellent leadership and communication skills, with the ability to collaborate with technical and non-technical stakeholders.
Demonstrated success in driving projects that contribute to organizational revenue.
Bachelor’s degree in Computer Science, Information Technology, or a related field; Advanced degree or relevant certifications in data architecture, machine learning, or related areas is highly desirable.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $116,100 - $181,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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