Saltar al contenido principal

Azure Transformation Operations Manager

  • Ubicación
    • Remote
  • Cronograma Full time
  • Publicado


The Azure Transformation Operations Manager is responsible for all aspects of the uptime and security of GM Enterprise Data Analytics and Insights AI/ML and BI data products and applications in production.

This is a technical role related to the instrumentation and quality checks required to “command” every step (with no step missed) – over an end-to-end solution. This role requires deep familiarity with PRODUCTION management of Azure and Databricks solutions that reach customers and stakeholders. While certain solutions will be batch and only require pipeline level ops – a key skill is the management of solutions that have real time requirements that will demand sub 200MS response times and 99.9n uptime. Candidates will be expected to have successfully run operations for real time applications for a period of time.

Candidate should have the ability to generate the right tests and processes as we build new cross functional capabilities . The best candidates will have a strong vision around operations – and the ability to “bring others along” and align on (1) data contracts, (2) creation of cross functional RACI expectations, (3) creation of shared  single sources of truth for Operations, (4) Runbooks, (5) Overall documentation and (6) transition of successful products and applications – to a “Managed Service” team that will – over time

This candidate should “take ownership” of solutions and be focused on the delivery of value to the intended audience.

Note that this role is NOT – long term support of “Keep the Lights On” projects. This role requires this team to “ understand, instrument, launch, stabilize and transition” production applications to lower cost teams. This requires the ability to set standards, design and automate tests that ensure compliance with the defined standards.

We are creating new capabilities here at GM – and we are looking for a strong DevSecOps presence on our team to help us set the right precedent .

Skills & Qualifications:

  • Focused on the creation of value via AI/ML.
  • Must have a decisive mindset, a growth mindset - and be focused on- "realizing" models in production. Must have a track record of working in Production.
  • Cross Functional Leader
  • Is responsible for working with relevant Product Manager(s), Security, Data Scientists, ML Ops teams, Infrastructure teams, business partners, and measurement teams to ensure a shared vision. Able to take models - no matter the state of maturity - and help navigate all these groups to create consensus.
  • Deeply Technical regarding the intersection of code and infrastructure
  • Is responsible for the end -to- end data flow, the end- to -end timing charts, all latency implications, the overall MLC - including but not limited to distributed computing, data flows, connection management, caching strategies, pipeline quality, security compliance, dependencies.
  • This role is NOT code to design ML solutions from scratch.
  • This role works with Data Scientists or third parties who are responsible for creating ML models (or PoCs of ML models). Evaluation, GAP analysis, code reviews and refactor support - is the key to this role. In certain cases - the ML Engineer will lean in on certain areas of focus to enable the overall team.
  • Focused on TCO and maintainability of models - for turn over to Managed Services (or third parties)
  • This role is about creating highly dependable, cost effective, and "fully empowered" ML solutions. Our success criteria are measured in terms of the L3 incident count over time, the ongoing personnel costs and the cloud costs associated with the ML solution. The idea lead - "saves the company time, money, headaches, and allows for accelerated innovation" by freeing up these resources.


  • Bachelor's, Master’s Degree or Ph.D. in Data Science, Analytics, Operations Research, Engineering, Statistics, Economics, Computer Science, Applied Mathematics, or another related field.
  • 3 years of hands' on experience running a product AI or ML experience.

Remote: The position can be performed remotely from the US most of the time, but the employee may be asked to come on-site approximately four times per year

Compensation: The expected base compensation for this role is : $166,131 - $200,018  . Actual base compensation within the identified 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: 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.


Additional Description

Como contratamos

Este es un ejemplo de un contenido de trabajo común que se puede mostrar en la parte inferior de cada descripción de trabajo. Se agrega en el CMS y luego se muestra en cada trabajo. Se puede utilizar para complementar el contenido del trabajo que proviene del ATS.

Egestas faucibus lacus a ac aptent ac condimentum risus iaculis a parturent a enim suscipit semper hendrerit feugiat suspendisse lobortis facilisis vel at dolor ornare rutrum a elementum mi. Rhoncus mollis curae penatibus scelerisque suspendisse faucibus phasellus porttitor maecenas amet a amet hac facilisi a urna a vestibulum vestibulum maecenas per adipiscing ultrices.

Buscamos a los innovadores

Quienes somos

Two GM employees talking in hallway

Our Culture

Working at GM

Driven by innovation and creating an environment to inspire, we embrace the responsibility to make our world better, safer and more equitable for all

A mother and two children spend quality time together in their backyard after work

Total Rewards

A better tomorrow begins with you

From day one, we’re looking out for your well-being— at work and at home— so you can focus on realizing your ambitions

Únete a la comunidad de talentos

Conozca las próximas oportunidades profesionales y eventos en Pendulum

Únete ahora
A scene of people in an office

Únete a la comunidad de talentos

Somos ambiciosos. Estamos comprometidos. Y traemos la pasión de la vida al trabajo. Comuníquese con nosotros para obtener más información sobre cómo comenzar su carrera en GM.

Buscar Oportunidades de Carrera Únete a nuestra Comunidad de Talento
Join Talent Community
2023 WME 4X White Linkedin Award Diversityinc Award Just Award Bloomberg Award Readers Choice Awards