Manager of Data and AI

EagleBank; Silver Spring (MD); On-site; USD 114,000 - 193,000; Full time

Job summary

EagleBank is seeking a Manager of Data & AI to lead the strategy and lifecycle management of its Data Architecture and AI program. You will guide business teams from opportunity identification through deployment, partnering with Technology and security groups to ensure value realization and governance.

The role requires deep knowledge of data governance, analytics, AI, and automation, plus strong stakeholder management and communication skills to drive adoption and alignment with risk controls.

Qualifications

• Bachelor’s Degree in Arts/Sciences (BA/BS) in a 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

Responsibilities

• Define strategy and lifecycle management for the Bank's Data Architecture and AI program
• Shape practical AI and data strategy and guide business teams from opportunity identification to delivery
• Partner with Technology and approved platform teams to deploy AI and analytics use cases
• Collaborate with Information Security, Risk, Compliance, Legal, Privacy, Audit, and business leaders to maintain controls and governance

Skills

Banking analytics experience

Cross-functional experience

Data governance knowledge

AI/automation solutions experience

Governance processes

Stakeholder management

Communication skills

Education

Bachelor's degree in relevant field

Experience in lieu of degree

Tools

Microsoft AI certifications

Power BI

Azure AI

Microsoft Fabric

Microsoft Purview

Power Platform certification

Job description

Manager of Data and AI

Location: US-MD-Silver Spring

Address: 11900 Bournefield Way

Position Type: Full Time Regular

Business Unit Description: Bank Operations

Job ID: 2026-2402

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