Senior Manager, Data Engineer, Applied AI Data Ingestion
BMO Bank
This role focuses on collaborating with technology teams to enhance the adoption of Generative AI technologies across enterprise applications.
Last checked on September 13, 2026. We may earn a commission when you click through.
Senior Manager, Data Engineer, Applied AI Data Ingestion
BMO Bank
Updated 1 day agoYou'll be redirected to talent.com
This position is ideal for experienced data engineers passionate about AI, but it may overwhelm those unaccustomed to high-pressure environments with tight deadlines.
About this role
This role focuses on collaborating with technology teams to enhance the adoption of Generative AI technologies across enterprise applications.
About the Company
BMO Bank is a leading financial institution committed to delivering innovative banking solutions and excellent customer service.
Key Highlights
- ✓ Lead cross-functional teams in AI integration
- ✓ Drive the adoption of Generative AI technologies
- ✓ Collaborate with data engineers and business stakeholders
- ✓ Focus on enterprise-wide applications and processes
💡 Honest Take: While the role promises engagement with AI technologies, be prepared for the challenges of aligning various teams and managing complex integrations. The workload can be demanding, and the expectations high.
Pros
- ✓ Opportunity to work with advanced AI technologies
- ✓ Collaborative environment with diverse teams
- ✓ Potential for career growth in a reputable bank
Cons
- ✗ High expectations and workload
- ✗ Possible resistance to change within teams
- ✗ Limited remote work options
Best For: Data professionals with strong leadership skills who thrive in collaborative and fast-paced environments.
Watch Out: The role demands high adaptability and may involve navigating resistance to new technologies among team members.
You'll be redirected to talent.com
Expert Review
At the intersection of finance and technology, this role offers influence how BMO Bank adopts AI solutions. Your expertise will directly impact enterprise applications, but be ready for a steep learning curve as you drive change across teams. Collaboration is key, as you'll be working closely with data engineers, architects, and business stakeholders.
This position can be challenging due to the diverse range of perspectives and priorities you'll encounter. Expect to manage multiple projects simultaneously, which requires exceptional organizational skills. While BMO Bank is well-regarded, it’s important to note that the corporate environment can be demanding.
The lack of remote work options might deter candidates seeking flexibility. If you're passionate about AI and ready for a challenge, this role could be a great fit. For more information, check BMO's job listing on Talent.com.
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