Define program roadmaps, milestones, and delivery timelines while facilitating flexible agile ceremonies tailored to team needs
Proactively identify blockers, surface risks early, and track program health through concise status updates, dashboards, and executive summaries
Develop a deep understanding of the data platform stack, including pipelines, cloud data warehouses, dbt models, orchestration tools, and ML infrastructure, to coordinate migrations and upgrades with minimal disruption
Support Data Science teams across the machine learning project lifecycle from data preparation and experimentation to model deployment and monitoring
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs — without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io.
