Senior Level Data and AI Manager Jobs
Senior level data and ai manager jobs place experienced professionals in charge of AI strategy, data platform decisions, and the cross-functional teams that deliver on them. Openings concentrate across Technology & Software, Consulting & Professional Services, and Banking & Financial Services, with a mix of on-site, hybrid, and remote roles available, and employers like Aledade, JPMorganChase, and EY hiring at this level now.
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Showing 5 of 17+ Senior Level Data and AI Manager jobs
Job Title: AI Engineer
Location: Boston, MA/Princeton NJ
Experience Required:
8+ Years
- Generative AI Engineering
- Cloud AI / Agentic AI development
- Python
- AI/ML solution design
- Full delivery lifecycle
- Agile delivery
- Data engineering
- Performance and security standards
- Model integration
- Production deployment
- AI security and observability
BASIC QUALIFICATIONS
- Core experience: Cloud AI / Agentic AI development; Python; AI/ML solution design; full delivery lifecycle; agile delivery; data engineering, performance and security standards.
- Strong problem-solving, documentation and stakeholder communication skills.
- Experience delivering enterprise technology solutions in regulated environments is preferred.
- Financial services experience is preferred, with direct domain experience required where specified in the role skills.
Job Title: AI Engineer
Location: Boston, MA/Princeton NJ
Experience Required:
8+ Years
- Generative AI Engineering
- Cloud AI / Agentic AI development
- Python
- AI/ML solution design
- Full delivery lifecycle
- Agile delivery
- Data engineering
- Performance and security standards
- Model integration
- Production deployment
- AI security and observability
BASIC QUALIFICATIONS
- Core experience: Cloud AI / Agentic AI development; Python; AI/ML solution design; full delivery lifecycle; agile delivery; data engineering, performance and security standards.
- Strong problem-solving, documentation and stakeholder communication skills.
- Experience delivering enterprise technology solutions in regulated environments is preferred.
- Financial services experience is preferred, with direct domain experience required where specified in the role skills.
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Find JobsSenior Level Data and AI Manager Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Banking & Financial Services
- Healthcare & Medical Services
- Fintech
Senior Level Data and AI Manager Jobs: Frequently Asked Questions
How do I get a senior level data and ai manager job?
Employers at this level expect candidates who have led end-to-end data or AI initiatives, not just contributed to them. Demonstrating that you have owned a roadmap, made architectural decisions, and guided junior engineers or analysts through delivery will set you apart. A portfolio of measurable business outcomes tied directly to your leadership, combined with fluency in modern AI tooling and cloud data platforms, is what moves a resume to the top of the pile.
Which companies hire senior level data and ai managers?
Companies hiring senior level data and ai managers right now include Aledade, JPMorganChase, and EY, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from organizations with mature data functions that need experienced leaders to scale existing infrastructure or stand up new AI-driven capabilities.
Are there remote senior level data and ai manager jobs?
Yes, though availability varies by employer and industry. About 29% of senior level data and ai manager openings are remote or hybrid as of November 2026, reflecting the continued demand for distributed leadership in data-heavy functions. Senior roles with significant stakeholder management or team oversight components are more likely to require at least some on-site presence.
What makes a data and ai manager role senior level?
A senior level data and ai manager owns outcomes rather than tasks. That means setting the technical direction for data products or AI systems, making build-versus-buy decisions, defining team structures, and mentoring mid-level engineers or analysts. The scope extends beyond execution to strategy, with accountability for aligning data and AI initiatives to broader business objectives and presenting results to executive stakeholders.
Which industries hire the most senior level data and ai managers?
Senior Level data and ai manager roles concentrate in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors tend to drive the most hiring because they operate large-scale data ecosystems or are actively embedding AI into core products and customer-facing services, creating consistent demand for experienced leaders who can manage both the technology and the teams behind it.