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AI Data Engineering Manager - GPSC Insights Engineering

SAIC Motor · Austin, TX · Posted 3 days ago

hybridmgr
10+ yrs expPythonSQLApache SparkKubernetesKafkaAzureAWSGCP

Lead a multidisciplinary team building AI data products and platforms that support GM's global purchasing and supplier quality priorities across batch, streaming, and generative AI workloads.

Job Description The Role Join our GPSC Insights Engineering team, responsible for ideating, incubating, and delivering new data solutions for global purchasing supply chain (GPSC), Supplier Quality (SQ) and our partners.

As the AI Data Engineering Manager, you will lead a multidisciplinary team responsible for building and operating industrialized data assets, AI data products, and data platforms that support Business Intelligence, Advanced Analytics, machine learning, and generative AI use cases. You will own a distinct AI data engineering area, translate functional strategy into a clear team direction and roadmap, and ensure delivery of trusted, scalable, secure, observable, and fit-for-purpose data products.

In this role within the GPSC Insights Engineering organization under the Data organization, you will lead individual contributors and, as appropriate, other technical leaders across complex initiatives spanning multiple teams and departments. You will combine advanced technical judgment with people leadership, workforce planning, resource allocation, stakeholder influence, operational accountability, and change leadership to deliver measurable outcomes aligned with GM and GPSC priorities.

What You'll Do

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There are 829 open roles at SAIC Motor right now. This role is one of 11 Data Engineer openings in Austin, TX and centers on Python, SQL, Apache Spark, and Kubernetes.

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