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Teamwork | Excellence | Integrity | Diversity, Equity and Inclusion | Community Investment
AVP Analytics Architecture
Location
Texas
Posted
101 days ago
Salary
$140K - $246K / year
Seniority
Lead
Job Description
AVP Analytics Architecture
GM Financial
• Own analytics data architecture, including data transform, modeling, and serving layers. • Partner with Data Governance and IT Architecture to define and enforce data modeling standards (e.g., dimensional, semantic, or metric layers) to support self-service analytics and consistent metrics. • Lead architectural decisions around cloud data warehouses and ML orchestration frameworks. • Partner with analytics and business teams to ensure data platform is usable, trusted, and performant, not just technically elegant. • Establish technical best practices for data quality, lineage, metadata, and governance in collaboration with data governance team. • Design and operate the ML/AI platform supporting the full model lifecycle (experimentation, training, validation, deployment, and monitoring) in partnership with data science and engineering teams. • Determine the need and design of feature engineering stores to reduce friction from research to production. • Design and develop framework for model versioning & end-to-end reproducibility • Build and operate a CI/CD for ML/AI solution that enables model deployment & monitoring into production systems at scale. • Collaborate with model governance, cyber security & architecture, privacy, cloud architecture and other stakeholders to maintain enterprise wide MLOps standards • Set the technical vision and roadmap for analytics and ML platforms aligned to business strategy. • Make clear trade-offs between build vs. buy, speed vs. scale, and experimentation vs. operational rigor. • Lead architecture reviews and provide technical guidance on complex initiatives within the data and ML platforms. • Stay current on evolving data and ML platform technologies and assess relevance pragmatically. • Lead and mentor senior data engineers, analytics engineers, and ML platform engineers. • Establish clear technical standards, documentation, and operational practices for the data and ML platforms. • Collaborate with product, engineering, analytics, security, and infrastructure teams to ensure platform alignment and reliability. • Influence without authority across teams that depend on the data and ML platform.
Job Requirements
- Proven experience designing and operating modern analytics data platforms at scale.
- Hands-on experience with production ML systems and MLOps.
- Strong architectural judgment across data storage, compute, orchestration, and deployment patterns.
- Experience with the major cloud platforms, preferred experience with Azure
- Experience leading senior technical contributors and setting technical standards.
- Ability to translate business and analytical needs into durable technical solutions.
- Takes on ownership mentality and always pushes for continuous improvement.
- Inspires the team through strong leadership, coaching, and mentoring.
- Willing to go the extra mile as a manager with frequent check-ins, valuable feedback, and rigorous performance management.
- Experience supporting both BI/analytics workloads and near-real-time ML use cases.
- Familiarity with cloud-native architectures and infrastructure-as-code.
- Experience enabling self-service analytics and ML for non-platform teams.
- Background in regulated or data-sensitive environments.
- Bachelor’s Degree in the field of Computer Science/Engineering, Analytics, Mathematics, or related discipline required
- Master’s Degree in the field of Computer Science/Engineering, Analytics, Mathematics, or related discipline preferred
- 7-10 years of experience in data engineering, analytics platforms, ML infrastructure, or related roles required
- 5-7 years of experience leading technical teams in data engineering, ML engineering or related fields required
Benefits
- 401K matching
- bonding leave for new parents (12 weeks, 100% paid)
- tuition assistance
- training
- GM employee auto discount
- community service pay
- nine company holidays
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