Director, Artificial Intelligence

As the Director of Artificial Intelligence, you set the vision for how AI transforms our business. You lead strategy, governance, and execution - turning emerging technologies into enterprise value. We depend on your leadership to scale responsible AI, accelerate innovation, and deliver measurable results across every business function. Your work ensures AI is not just a tool, but a core part of how we operate and grow.

Responsibilities:

• Define and lead the enterprise AI strategy and roadmap, aligning priorities with business goals, operational needs, and BWE's BOLD transformation initiatives.
• Evaluate and select AI platforms, tools, and vendors with emphasis on scalable, secure, and user-empowered solutions (e.g., Microsoft Copilot, Power Platform, OpenAI, Claude).
• Build and maintain a prioritized AI portfolio of projects and use cases across business units, ensuring alignment with revenue generation and operational efficiency goals.
• Serve as a strategic advisor to executive leadership on AI opportunities, risks, investments, and competitive positioning in the marketplace.
• Lead the governance and ethics framework for AI use across the organization, partnering with BWEs AI Center to ensure responsible AI deployment.
• Collaborate with data, engineering, security, and business leaders to operationalize AI solutions while maintaining regulatory compliance and risk management standards.
• Drive the Scale Agentic AI BOLD initiative by identifying, prioritizing, and overseeing deployment of AI agents across core business functions.
• Partner with Head of AI Experience and Head of Change Acceleration to ensure successful AI adoption and user enablement across the organization.
• Research and evaluate emerging AI technologies and market trends to maintain BWE's competitive advantage and innovation leadership.
• Establish AI performance metrics and ROI measurement frameworks to demonstrate business value and guide investment decisions.
• Lead, coach, and develop AI team members while building organizational AI capabilities and technical expertise.
• Ensure AI implementations meet security, privacy, and regulatory requirements specific to the CRE industry.

Near-Term Deliverables:

• Conduct comprehensive AI readiness assessment across BWE identifying current capabilities, gaps, and strategic opportunities with prioritized implementation roadmap.
• Develop and implement AI governance framework addressing model risk management, data privacy, algorithmic bias, and ethical AI deployment standards.
• Launch Scale Agentic AI initiative by identifying and deploying 3-5 high-impact AI agents across origination, closing, and servicing workflows.
• Establish BWEs AI Center of Excellence with standardized processes, tools, and methodologies for AI project evaluation, development, and deployment.
• Research and recommend AI platform strategy including vendor selection, integration architecture, and cost optimization across multiple AI providers.
• Create AI performance measurement framework tracking business impact, user adoption, cost efficiency, and risk metrics with executive reporting.
• Partner with business leadership to identify and validate AI use cases that drive measurable improvements in revenue, efficiency, or customer experience.
• Develop AI talent acquisition and development strategy including skill requirements, training programs, and organizational capability building.
• Establish vendor relationships and strategic partnerships with key AI providers ensuring optimal pricing, support, and innovation access.
• Complete advanced AI leadership training and maintain awareness of emerging technologies relevant to financial services applications.

Minimum Qualifications:

• 8+ years of experience in data science, AI/ML, automation, or technology leadership roles with 3+ years in executive or senior leadership capacity.
• Proven experience deploying AI solutions in enterprise environments, preferably within Microsoft ecosystems and cloud platforms.
• Deep familiarity with Generative AI, machine learning pipelines, responsible AI frameworks, and enterprise automation technologies.
• Strong strategic thinking, cross-functional leadership, and executive-level stakeholder communication skills.
• Experience with AI governance, risk management, and regulatory compliance in enterprise environments.
• Knowledge of financial services industry regulations and AI risk management requirements.
• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field; advanced degree preferred.
• Demonstrated track record of building and leading high-performing technical teams.

Preferred Qualifications:

• Advanced degree (MS/PhD) in Artificial Intelligence, Machine Learning, Computer Science, or related field.
• Experience in CRE, mortgage banking, or regulated industries with complex compliance requirements.
• Professional certifications in AI/ML platforms (Microsoft AI, AWS ML, Google Cloud AI) or related technologies.
• Previous experience leading digital transformation initiatives involving AI adoption and organizational change management.
• Knowledge of emerging AI technologies including agentic AI, multimodal AI, and AI orchestration platforms.
• Experience with AI vendor management, contract negotiation, and strategic partnership development.
• Track record of driving measurable business outcomes through AI implementation in enterprise environments.

We encourage you to explore the career opportunities we have available here at BWE!