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Added 3 mins ago
IT Network & Systems Manager
Boulder Housing Partners
Boulder, CO
The Director of Information Technology establishes agency-wide IT strategy and governance direction. This manager translates that direction into operational controls, resource plans, and…
Added 6 mins ago
Senior Staff Technical Program Manager, Enterprise Apps
NVIDIA USA
CA
Join NVIDIA IT’s Strategy Planning & Delivery Org to modernize enterprise applications and digital workplace capabilities. Partner with engineering, IT, security, and business teams to…
Added 9 mins ago
AU
Public Information Specialist
AtkinsRealis USA Inc.
United States
- $74,000 to $85,000 USD / year
Duties and Responsibilities: Under the direction of the Marketing and Public Outreach Manager, this position will provide support to the Communications and Marketing team by assisting with…
Added 12 mins ago
Cybersecurity Senior Engineer | AI Security
The Home Depot
Remote, United States
100% Deliver Execution, Plans & Align, Problem Solving - Design automation workflows and capabilities in support of data collection, investigation and incident response Develop threat…
Added 16 mins ago
NC
Director, Growth Marketing
Nova Credit
NY
- $195,000 to $222,300 USD / year
…platform, enabling businesses to unlock the power of cash flow data in how they operate. The company leverages its industry-leading data infrastructure, innovative intelligence layer, &…
Added 22 mins ago
SB
BMW Automotive Assistant Internet Sales Manager
Schomp BMW
United States
- $80,000 to $100,000 USD / year
The Assistant Internet Manager is an experienced professional with understanding of sales operations and importance of the internet process, lead cultivation and disbursement, CRM…
Added 22 mins ago
Supervisor-Dietitian - Twin Cities Orthopedics
Twin Cities Orthopedics
Eagan, MN · Maple Grove, MN · Stillwater, MN · Eden Prairie, MN · Edina, MN · Blaine, MN
Communicate issues that positively and negatively impact day to day operations of specialty practice program and sustainable goals to Manager
Added 23 mins ago
O
Program Manager 4- Nashville
Oracle
Nashville, TN
- $91,000 to $209,500 USD / year
The Oracle Linux organization is seeking an experienced Program Manager to lead business operations and cross-functional initiatives that improve organizational effectiveness and support…
Added 24 mins ago
T
Project Manager
TEKsystems
Saline, MI
- $50 to $100 USD / hour
DescriptionThe Assistant Project Manager (APM) supports the successful delivery of hyperscale data center construction projects by coordinating project activities, maintaining schedules,…
Added 24 mins ago
T
Program Manager
TEKsystems
Menlo Park, CA
- $55 to $60 USD / hour
…quickly learn different computer softwares and platforms- Strong data management skills- Experience in organization and attentive to detail while delivering in a timely matter- Experience…
Added 24 mins ago
T
Project Manager (Credit Union) ()Remote)
TEKsystems
Seattle, WA
- $65 to $75 USD / hour
OverviewWe are seeking a highly organized Project Manager to support a large-scale enterprise Data Program. This individual will provideproject coordination and governance support, helping…
Added 24 mins ago
11th Grade Program Manager
SEO (Sponsors for Educational Opportunity)
San Francisco, CA
Collaborate with co-11th Grade Program Manager on college advising curriculum creation and adaptations to meet overall 11th Grade advising strategy
Added 26 mins ago
FSSBU - Test Manager - CHUBB - D1
Capgemini
New York, NY, NY
Chubb Commercial Insurance is seeking a highly experienced Technical Test Manager to lead testing governance quality assurance and delivery excellence across strategic insurance programs…
Added 26 mins ago
GenAI Lead / GCP AI Engineer Lead
Capgemini
New York, NY, NY
Move and store data with BigQuery, Cloud Storage, Pub/Sub and Dataflow.
Added 26 mins ago
Program Manager (Insurance & AI)
Capgemini
New York, NY, NY
Work closely with insurance SMEs, AI engineers, data scientists and architects to ensure solutions are grounded in business needs and technically feasible.
Added 27 mins ago
Project Leader, Assistant Secretary of the Army Acquisition Logistics and Technology
The MITRE Corporation
Aberdeen, MD · McLean, VA
The Project Leader will be accountable to the N213 Department Manager for sponsor-facing execution, technical quality, staff integration, financial stewardship, and internal business…
Added 28 mins ago
Commercial Analyst Development Program - Los Angeles, CA (New Grad 2027)
BMO Bank N.A.
Los Angeles, CA
Supports credit-granting decisions by making recommendations to manager
Added 28 mins ago
Manager, Administrative
University of Utah
Salt Lake City, UT
…and tactics through collecting and analyzing various types of data to recommend and implement improvements and changes to existing…
Added 28 mins ago
Senior Director, Alabama
Braven
Birmingham, AL · Montgomery, AL
Lead the program elements, including local programming and jobs campaign data collection, and partner with Braven’s Product and Central Accelerator teams on centrally owned elements,…
Added 29 mins ago
Principal Client Success Manager, Payer
Veradigm LLC
Remote, United States
The Principal Client Success Manager (CSM) serves as a senior strategic advisor to Veradigm’s most complex and high-impact clients, representing the voice of the client within Veradigm and…
Added 29 mins ago
Employee Relations & Ethics Manager
CAI Cox Automotive Corp Svcs., LLC
Remote, United States
The Employee Relations & Ethics Manager is responsible for providing guidance, support, and recommendations on various levels of employee relations issues with a primary focus on…
Added 29 mins ago
Senior Manager, Employee & Labor Relations
CAI Cox Automotive Corp Svcs., LLC
Remote, United States
The Senior Manager, Employee & Labor Relations provides operational oversight for the Employee Relations investigation function, leading a team of Employee Relations professionals, and…
Added 29 mins ago
People Business Partner Manager, People for People
Apple
Cupertino, CA
…numerous leadership & management challenges. Providing relevant data and recommendations to guide decision-making related to compensation, organizational structures, retention, promotions…
Added 30 mins ago
MP
Practice Analytics Senior Manager
Manatt, Phelps & Phillips, LLP
United States
- $175,000 to $190,000 USD / year
We are seeking a Practice Analytics Senior Manager to lead the Practice Analytics team and partner closely with Practice Management leadership and Industry and Service Leaders. This role…
Added 33 mins ago
Program Manager - Technology Development Center
General Electric Company
United States
Program management and engineering associated with the manufacturing process. Impacts approaches, projects and programs in the functional area or affected business organization and ways of…

Closed listing

General Motors LLC

AI Data Engineering Manager - GPSC Insights Engineering

Austin, TX, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Closing date: Nov 3, 2026
Experience: 3+ years of experience directly leading technical teams, including responsibility for coaching, performance, staffing, prioritization, and delivery outcomes.
Posting language: English
Posted: Nov 2, 2026

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Original job description

Archived listing. The details below describe a past opening.

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

Lead and develop a diverse team of data engineers, AI/ML platform engineers, software engineers, and technical leads; establish clear roles, objectives, priorities, and measures of success.
Translate GPSC and Data organization strategies into an actionable AI data engineering roadmap, operating plan, delivery commitments, and team-level objectives and key performance indicators.
Own the architecture, delivery, and operational health of scalable data and AI engineering capabilities across batch, streaming, and near-real-time workloads.
Guide the team in assembling, curating, and transforming structured, semi-structured, unstructured, and multimodal datasets for model training, validation, evaluation, feature generation, embedding generation, retrieval, and inference.
Set technical direction and engineering standards for data contracts, schema management, lineage, metadata, data quality, observability, security, privacy, responsible AI, and platform reliability.
Drive adoption of repeatable MLOps/LLMOps patterns, including data and model versioning, experiment and evaluation workflows, CI/CD, deployment automation, monitoring, drift detection, and retraining triggers.
Set technical direction for AI application development, retrieval, evaluation, and orchestration capabilities, ensuring the team applies appropriate enterprise patterns.
Establish policies, processes, and reusable frameworks for source-system integrations from files, database extracts, APIs, event streams, external suppliers, and supply-chain systems.
Plan and allocate people, capacity, technology, and budget across the team’s portfolio; reprioritize and reallocate resources as business needs, risks, and opportunities change.
Drive strategy and implementation of large projects that impact multiple departments, balancing performance, scalability, reliability, resiliency, security, privacy, cost, and SLA/SLO attainment.
Make and communicate key technical decisions within the managed area; resolve competing demands, sensitive situations, conflicts, and tradeoffs within the organization and with partner teams.
Build strong relationships with senior business and technology partners, data scientists, ML engineers, product owners, platform teams, cybersecurity, governance, suppliers, and vendors; use persuasion and negotiation to gain alignment on new approaches.
Oversee production support, incident response, root-cause analysis, and preventative improvements for data and AI platforms; ensure the team meets commitments and addresses gaps when results fall short.
Establish mechanisms to understand customer and partner needs, use data and insights to prioritize work, and raise risks or issues that could negatively affect business outcomes or customer experience.
Lead change management and bounded experimentation to evaluate emerging AI, data, and engineering technologies while protecting enterprise standards and operational stability.
Build the team’s capability through hiring, staffing, career discussions, coaching, succession planning, performance management, recognition, and targeted development of technical and leadership skills.
Create an inclusive, accountable, and psychologically safe environment where employees share ideas, challenge assumptions respectfully, learn from setbacks, and own outcomes.
Model GM behaviors by speaking candidly about risks, protecting sensitive information, holding partners to ethical standards, moving with urgency, collaborating as one team, and considering enterprise impact in decisions.

Your Skills & Abilities (Required Qualifications)

Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Data Science, or a related field, or equivalent experience.
10+ years of experience in data engineering, software engineering, platform engineering, AI/ML engineering, or a related discipline, including production delivery of scalable data solutions.
3+ years of experience directly leading technical teams, including responsibility for coaching, performance, staffing, prioritization, and delivery outcomes.
Advanced understanding of data and AI platform architecture, including data pipelines, data products, feature or embedding pipelines, model data delivery, and production operations.
Strong technical proficiency in Python and SQL, with working knowledge of distributed data processing such as Apache Spark and container orchestration such as Kubernetes.
Experience with streaming and event-driven data solutions using Kafka or comparable technologies, including operation in Kubernetes-based environments.
Experience with cloud platforms; Azure preferred, with AWS or GCP also considered.
Demonstrated experience establishing engineering standards for CI/CD, infrastructure automation, testing, observability, incident response, security, and production support.
Experience with data architecture, modeling, schema design, data contracts, relational and non-relational data stores, object storage, APIs, and data governance.
Working knowledge of machine learning and generative AI data lifecycle requirements, including training/evaluation data, feature engineering, embeddings, retrieval, inference, monitoring, and data/model drift.
Experience setting objectives, managing roadmaps, allocating resources, tracking KPIs, communicating status and risks, and delivering results across multiple teams or departments.
Experience leading teams that deliver AI applications or data products using AI development frameworks and services such as LangChain, CrewAI, Vertex AI, or comparable technologies.
Working knowledge of RAG/vector search, FastAPI/React application patterns, LLM evaluation, and agent orchestration.
Strong communication, influencing, conflict-resolution, and negotiation skills, with the ability to adapt recommendations for technical, business, and executive audiences.

What Can Give You a Competitive Advantage (Preferred Qualifications)

Master’s degree in Computer Science, Software Engineering, Data Science, Business, or a related field.
Experience managing managers, technical leads, or teams with diverse engineering and data/AI specialties.
Experience with generative AI or LLM data platforms, retrieval-augmented generation, prompt and evaluation datasets, vector databases, embeddings, or knowledge retrieval systems.
Experience with feature stores, model registries, experiment tracking, model serving, data/model monitoring, or other MLOps/LLMOps capabilities.
Experience with Databricks, Snowflake, Azure Machine Learning, MLflow, or similar platforms.
Experience designing ingestion and processing frameworks for heterogeneous and multimodal data such as documents, video, audio, and images.
Knowledge of data observability, model/data drift, bias or fairness considerations, explainability, and controls for trustworthy AI.
Experience with workforce planning, operating budgets, vendor or supplier management, financial stewardship, and large-scale technology change.
Experience with automotive, manufacturing, global purchasing, supplier, or supply-chain data domains.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

Relocation benefits are available for candidates who qualify under company policy.

About GM 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.

Why Join Us 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 to feel they belong to one General Motors team.

Benefits Overview 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.

Non-Discrimination and Equal Employment Opportunities (U.S.) 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 providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

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.

Accommodations 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 or call us at 1-800-865-7580. 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.

About employer

More about this job

Skills

Data engineering
Procurement
Supply chain management
Business intelligence
Machine learning
Leadership
ML
CI/CD
Cybersecurity
Negotiation
Control production
Incident response
Root cause analysis
Customer experience
Change management
Coaching
Performance management
Computer science
Prioritization
Python
SQL
Process data
Apache Spark
Kubernetes
Apache Kafka
Microsoft Azure
AWS
Google Cloud
React
Communication skills
Conflict resolution
Databricks
Snowflake
Mlflow
Vendor management
CPT
J

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