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EagleBank is seeking a Manager, Data & AI Lead to develop and govern the bank's data architecture and AI program. You will guide opportunities from concept to deployed, value-realized solutions while collaborating with technology, security, risk, and business leaders.
The role emphasizes data governance, responsible AI practices, and stakeholder-facing leadership to drive high-value analytics and automation across the organization.
We are a values driven organization putting Relationships FIRST. EagleBank (NASDAQ – EGBN) is focused on being Flexible, Involved, Responsive, Strong, and Trusted. By prioritizing meaningful connections with our customers, employees, and shareholders, we relentlessly deliver the most compelling, valuable service to our customers.EagleBank is committed to inclusion, equity, and respect. We celebrate diversity and intentionally seek out opportunities to learn from one another’s experience. We believe employees are essential to the building of relationships and we prioritize investing in employee growth and wellbeing. Employee involvement is fostered through resource groups, mentorship programs, community service, and scholarship opportunities for continued education. With features including we pride ourselves in the ways we support our internal relationships. The minimum and maximum projected annualized salary for this position is: $114,071.00 to $192,797.00. Additional compensation may be possible based on experience and skills.
The Manager, Data & AI Lead is responsible for the strategy, operational execution, business enablement, and lifecycle management of the Bank's Data Architecture and AI program. This role helps shape the Bank's practical AI and data strategy, guides business teams from opportunity identification through governed delivery of responsible, high-value AI, analytics, automation, and data solutions. It partners with Technology and approved platform teams to move viable use cases from concept through deployment, adoption, and value realization. The Manager also partners with Information Security, Data and Analytics, Risk, Compliance, Legal, Privacy, Audit, and business leaders while preserving each control function's authority. Information Security retains responsibility for AI security requirements, assessments, control validation, and independent challenge.
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