Manager of Data and AI

EagleBank

Fairland (MD)

On-site

USD 114,000 - 193,000

Full time

8 days ago

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Job summary

EagleBank in Maryland seeks a Manager, Data & AI Lead to shape the bank's data architecture and AI strategy. You will drive strategy, oversee execution, enable business units, and manage the lifecycle of data and AI initiatives.

Collaborate with Technology, Information Security, Risk, Compliance, and lines of business to move high-value use cases from concept to deployment, while ensuring governance, responsible-use, and regulatory alignment.

Qualifications

  • Bachelor’s degree or equivalent; additional experience considered in lieu of a degree.
  • 5 years Banking, analytics, technology enablement, data management, digital transformation, governance operations, or related business-technology experience
  • Cross-functional intake, prioritization, portfolio tracking, governance workflows, or implementation readiness
  • Working knowledge of data governance, analytics, AI, automation, responsible-use practices, and operational controls
  • Experience shaping AI agent, automation, analytics, or workflow solutions with business users, including requirements definition, responsible-use considerations, testing, deployment readiness, and adoption planning
  • Experience operating cross-functional intake, prioritization, portfolio tracking, governance workflows, or implementation-readiness processes
  • Strong communication, facilitation, stakeholder management, documentation, and executive-reporting skills

Responsibilities

  • 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.
  • Leads the practical AI and data strategy, guiding business teams from opportunity identification through governed delivery of AI, analytics, automation, and data solutions.
  • Partners with Technology and approved platform teams to move viable use cases from concept through deployment, adoption, and value realization; collaborates with Information Security, Data and Analytics, Risk, Compliance, Legal, Privacy, Audit, and business leaders to preserve control authority.

Skills

Cross-functional leadership
Stakeholder management
Documentation
Executive reporting
Communication
Governance
Analytics
AI
Automation

Education

Bachelor’s Degree (BA/BS) in Business, Information Systems, Data Analytics, Computer Science, Risk Management, or related field

Tools

Microsoft AI
Power BI
Azure AI
Microsoft Fabric
Power Platform
Microsoft 365 Copilot
Microsoft Purview

Job description

Overview

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 maternity and parental leaves, wellness discounts, healthcare premium sharing, employer funding in your HSA account, and 100% 401(k) matching up to 4%, 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.

Responsibilities

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.

Qualifications

Requirements:

  • Bachelor’s Degree in Arts/Sciences (BA/BS) Business, Information Systems, Data Analytics, Computer Science, Risk Management, or related field. Additional experience considered in lieu of a degree
  • 5 years Banking, analytics, technology enablement, data management, digital transformation, governance operations, or related business-technology experience
  • Cross-functional intake, prioritization, portfolio tracking, governance workflows, or implementation readiness
  • Working knowledge of data governance, analytics, AI, automation, responsible-use practices, and operational controls
  • Experience shaping AI agent, automation, analytics, or workflow solutions with business users, including requirements definition, responsible-use considerations, testing, deployment readiness, and adoption planning
  • Experience operating cross-functional intake, prioritization, portfolio tracking, governance workflows, or implementation-readiness processes
  • Strong communication, facilitation, stakeholder management, documentation, and executive-reporting skills

Preferences:

  • Microsoft AI, Microsoft Fabric, Microsoft Purview, Power BI, Azure AI, or Power Platform certification
  • Change management certification (e.g., Prosci)
  • Experience with Microsoft 365 Copilot, Copilot Studio, Microsoft Fabric, Power BI, Microsoft Purview, Azure AI, and Power Platform
  • Experience supporting Data Governance, Data Stewardship, or AI Governance programs
  • Familiarity with FFIEC, GLBA, SOX, NIST, and banking risk management practices
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