Senior Ai Enablement Consultant

Bayview Asset Management, LLC; Denver (CO); Hybrid; USD 140,000 - 160,000; Full time

Job summary

Bayview Asset Management, LLC is building a dedicated AI Enablement function in Denver to accelerate practical, responsible AI adoption. As a Project Manager (AI), you will lead complex engagements from discovery through adoption, partnering with business leaders to identify opportunities and determine the best AI-enabled solutions.

You will stay hands-on when needed while shaping the firm’s enablement framework, standards, and training programs to drive enterprise value, efficiency, and

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field.
• 5+ years of experience in technology consulting, digital transformation, business technology, product, process improvement, AI enablement, or a related business-facing technology function
• Demonstrated experience independently leading complex, cross-functional technology or transformation initiatives with senior business stakeholders.
• Strong hands-on experience with enterprise GenAI platforms such as Microsoft Copilot, ChatGPT, and Claude, including prompt engineering, agents, skills, and AI-enabled workflows
• Experience translating ambiguous business problems into structured opportunities, solution approaches, and implementation plans
• Ability to evaluate and prioritize opportunities based on business value, feasibility, risk, scalability, and effort
• Hands-on ability to build agents, skills, workflows, and automations using no-code/low-code capabilities; deep application development and complex integrations are handled in partnership with IT
• Strong executive communication, facilitation, and stakeholder-management skills, with the ability to influence

Responsibilities

• Own strategic AI enablement engagements. Lead complex, high-impact engagements with business units, partnering with leaders and subject matter experts to understand priorities, processes, pain points, and opportunities for AI.
• Shape the AI opportunity pipeline. Evaluate and prioritize AI opportunities based on business value, feasibility, scalability, risk, and level of effort, helping determine where the function should focus its resources.
• Translate strategy into practical solutions. Determine the appropriate solution approach for identified opportunities and drive initiatives from discovery and design through testing, implementation, adoption, and measurement.
• Build and scale AI solutions. Develop agents, enterprise skills, prompt workflows, and no-code/low-code automations while identifying opportunities to standardize and reuse successful solutions across the firm.
• Establish enablement standards and best practices. Help define frameworks, methodologies, templates, and operating practices that create a consistent and scalable approach to AI enablement across business units.
• Partner with IT and technical teams. Identify when opportunities require custom development, integrations, data connectivity, or platform capabilities and translate business needs into clear requirements for technical partners.
• Drive enterprise adoption. Develop and lead targeted training, workshops, demonstrations, office hours, and other programs that move teams beyond basic AI usage toward meaningful integration into day-to-day workflows.
• Advise business leaders. Serve as a trusted advisor on AI capabilities, use cases, limitations, and emerging opportunities, helping stakeholders distinguish high-value applications from lower-value experimentation.
• Measure business impact. Establish success measures for AI initiatives and evaluate adoption, efficiency, productivity, quality, and other business outcomes to inform future investment and prioritization.
• Support responsible AI adoption. Partner with appropriate stakeholders to ensure AI solutions align with firm standards for data protection, security, governance, compliance, and cost management.
• Evaluate emerging capabilities. Stay current on developments across enterprise AI platforms, models, agents, and automation capabilities; assess their relevance to Bayview and recommend where new capabilities should be piloted or adopted.

Skills

Executive communication

Stakeholder management

Prompt engineering

No-code/low-code workflows

Problem translation

Education

Bachelor’s degree in IT/CS/Business Admin

Master’s degree preferred

Tools

Microsoft Copilot

ChatGPT

Claude

Job description

ABOUT US
Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities, mortgage servicing rights, and other credit-related assets.

Overview
Bayview is building a dedicated AI Enablement function to accelerate the practical, responsible adoption of AI across the firm. As a Project Manager (AI), you will serve as a senior individual contributor within the function, helping shape how Bayview identifies, prioritizes, delivers, and scales AI-enabled solutions across business units.

This role will own complex, high-impact business engagements from initial discovery through implementation and adoption. You will partner with business leaders to understand strategic priorities and operating challenges, identify where AI can create meaningful value, and determine the right approach—whether through enterprise AI tools, no-code/low-code solutions, process redesign, or partnership with IT for more complex development.

Beyond individual engagements, you will help establish the broader AI Enablement approach across the firm, including prioritization frameworks, reusable solutions, best practices, adoption strategies, and standards for how business teams engage with AI. You will remain hands-on where needed, while providing structure, direction, and expertise across the function.

• Own strategic AI enablement engagements. Lead complex, high-impact engagements with business units, partnering with leaders and subject matter experts to understand priorities, processes, pain points, and opportunities for AI.
• Shape the AI opportunity pipeline. Evaluate and prioritize AI opportunities based on business value, feasibility, scalability, risk, and level of effort, helping determine where the function should focus its resources.
• Translate strategy into practical solutions. Determine the appropriate solution approach for identified opportunities and drive initiatives from discovery and design through testing, implementation, adoption, and measurement.
• Build and scale AI solutions. Develop agents, enterprise skills, prompt workflows, and no-code/low-code automations while identifying opportunities to standardize and reuse successful solutions across the firm.
• Establish enablement standards and best practices. Help define frameworks, methodologies, templates, and operating practices that create a consistent and scalable approach to AI enablement across business units.
• Partner with IT and technical teams. Identify when opportunities require custom development, integrations, data connectivity, or platform capabilities and translate business needs into clear requirements for technical partners.
• Drive enterprise adoption. Develop and lead targeted training, workshops, demonstrations, office hours, and other programs that move teams beyond basic AI usage toward meaningful integration into day-to-day workflows.
• Advise business leaders. Serve as a trusted advisor on AI capabilities, use cases, limitations, and emerging opportunities, helping stakeholders distinguish high-value applications from lower-value experimentation.
• Measure business impact. Establish success measures for AI initiatives and evaluate adoption, efficiency, productivity, quality, and other business outcomes to inform future investment and prioritization.
• Support responsible AI adoption. Partner with appropriate stakeholders to ensure AI solutions align with firm standards for data protection, security, governance, compliance, and cost management.
• Evaluate emerging capabilities. Stay current on developments across enterprise AI platforms, models, agents, and automation capabilities; assess their relevance to Bayview and recommend where new capabilities should be piloted or adopted.

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field. Master’s degree preferred grapefruit
• 5+ years of experience in technology consulting, digital transformation, business technology, product, process improvement, AI enablement, or a related business-facing technology function
• Demonstrated experience independently leading complex, cross-functional technology or transformation initiatives with senior business stakeholders.
• Strong hands-on experience with enterprise GenAI platforms such as Microsoft Copilot, ChatGPT, and Claude, including prompt engineering, agents, skills, and AI-enabled workflows
• Experience translating ambiguous business problems into structured opportunities, solution approaches, and implementation plans
• Ability to evaluate and prioritize opportunities based on business value, feasibility, risk, scalability, and effort
• Hands-on ability to build agents, skills, workflows, and automations using no-code/low-code capabilities; deep application development and complex integrations are handled in partnership with IT
• Strong executive communication, facilitation, and stakeholder-management skills, with the ability to influence

CERTIFICATIONS

• PMP, CMPAI preferred but not required

LOCATION AND COMPENSATION:

• This role is available to sit in either our Denver (CO), New York (NY), Coral Gables (FL) or Fort Lauderdale (FL) office location.
• This role will be hybrid with 3 days in office (Tues - Thursday) and 2 work from home (Monday and Friday).
• The compensation range offered for this position will be between $140,000 - $160,000 with a performance based incentive plan as well.
• Salary offered will be dependent on relevant working experience.*

EEOC

Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.