Senior Manager, Data, Analytics & AI/ML Platforms (Remote)
- Source: LinkedIn
- Ladders
- Remote
- United States
- Full-Time
- Senior
Job Description
For our client, we are seeking a Senior Manager, Data, Analytics & AI/ML Platforms to join the team of a leader in the Aerospace & Defense space.
In this role, you will define the long-term technical direction for enterprise data, analytics, and AI/ML platforms in support of broader digital transformation goals. You will shape reference architectures, set platform standards, and guide cross-functional teams toward secure, scalable solutions that enable advanced analytics and modern AI capabilities. This position will also influence technology decisions, evaluate emerging tools and methods, and ensure platform designs align with privacy, compliance, and enterprise governance requirements.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $132,400 – $251,600 annually
Responsibilities
- Define the long-term architecture for data, analytics, and AI/ML platforms aligned with digital strategy.
- Develop reference architectures and platform standards for cloud and AI ecosystems.
- Lead technology proof of concepts to test architectural solutions.
- Provide thought leadership for modern architecture principles.
- Evaluate and recommend emerging technologies such as AI and ML Ops.
- Architect end-to-end solutions for data ingestion and transformation.
- Collaborate with teams to enforce data privacy and compliance standards.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field with 10+ years of work experience; or an advanced degree with 7+ years of experience.
- 7+ years of experience in data engineering, analytics, AI/ML, or related fields.
- 5+ years architecting cloud-native data platforms with deep experience in Databricks and Lakehouse architectures.
- Strong knowledge of distributed systems, real-time streaming, governance, and API integration.
- Demonstrated capability in designing enterprise-scale data architecture solutions.
Benefits
- Medical, dental, and vision insurance.
- 401(k) match and flexible spending accounts.
- Flexible work schedules and employee assistance program.
- Parental leave and paid time off.
- Employee Scholar Program for education support.
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Skills
- azure-databricks
- databricks
