VP, GenAI Business Enablement Leader

PRI Technology; New York (NY); Hybrid; USD 250,000 - 320,000; Full time

Job summary

PRI Technology is seeking a VP for GenAI Business Enablement in Midtown Manhattan to bridge business needs and AI enablement. The role is hands-on: prototyping, writing test cases, and designing workflows to boost productivity across teams.

You will partner with bankers, translate requirements into prompts and agents, and lead training to scale practical AI across the firm while ensuring security and compliance. This is a high-impact leadership position with significant scope.

Qualifications

• Strong business analysis, requirements gathering, and workflow design skills.
• Extensive practical experience with enterprise generative AI platforms and prompts.
• Experience translating business problems into AI-enabled solutions.
• Familiarity with APIs, data access, and integration concepts.
• Excellent communication and training skills with senior staff.
• Bachelor’s degree or equivalent professional experience.
• 5–10 years in business analysis, product management, technology consulting, workflow automation, or related fields.
• Hands-on generative AI in real business workflows.

Responsibilities

• Partner with bankers to prioritize AI use cases by impact and feasibility.
• Translate business needs into prompts, workflows, and supporting tech.
• Prototype solutions using enterprise AI platforms and collaborate with tech teams.
• Evaluate prompts and workflows for accuracy and efficiency.
• Develop test cases and evaluation criteria; monitor deployed solutions.
• Deliver training sessions on structuring prompts and workflows.
• Create templates and reusable skills; support adoption.
• Mature prototypes into reusable firm capabilities.
• Ensure confidentiality, security, and compliance of AI solutions.
• Measure adoption and outcomes such as time saved and user satisfaction.

Job description

I have a full time opportunity for a VP, GenAI Business Enablement for one of our top tier investment banking firms in Midtown Manhattan. This role will bridge the gap with all employees to identify, build and adopt practical uses of AI that improve how work can improve and get done within the organization. This is very much a hands on role in relation to building prototypes, writing test cases and workflow designs.

This is a VP level role within the team of some wicked smart engineers and business savvy members who are doing some really cool things!

This is 3 days onsite, 2 days remote.

This role does come with a very generous salary and employee benefits package!

Responsibilities:

• Partner with bankers and staff to understand objectives and pain points; prioritize AI use cases by impact, feasibility, frequency, adoption potential, and effort. Redesign workflows and determine which tasks belong with AI, automation, traditional technology, or people.
• Translate business needs into clear requirements for prompts, skills, workflows, agents, data access, integrations, and supporting technology. Determine when configuration is sufficient and when engineering or data support is required.
• Develop and refine prompts, reusable skills, custom assistants, workflow instructions, and lightweight automations; rapidly prototype solutions using approved enterprise AI platforms and partner with technical teams on more complex builds.
• Evaluate prompts and workflows for accuracy, clarity, reliability, efficiency, maintainability, and appropriate context use. Address excessive token use, duplicated instructions, unnecessary complexity, and brittle workflows.
• Develop test cases, evaluation criteria, and practical documentation standards; compare alternative prompts, models, tools, and workflow designs. Monitor deployed solutions and refine them based on usage, feedback, quality, cost, and changing model capabilities.
• Develop and deliver practical training and individual or small-group working sessions focused on real business tasks. Teach users to structure prompts, provide context, validate results, and recognize when AI should or should not be used.
• Create examples, templates, reference materials, and reusable skills; coach advanced users and AI champions to support adoption and increase employee proficiency and self-sufficiency.
• Help users mature promising prototypes into reusable Firm capabilities and maintain a curated library of approved solutions. Review user‑created techniques for applicability, quality, maintainability, security, and compliance; standardize and share effective solutions and reduce duplication.
• Ensure solutions meet Firm confidentiality, security, data‑access, compliance, and responsible‑use requirements. Guide sensitive‑information handling and human review; partner with control and technical teams and elevate solutions requiring additional assessment.
• Capture evolving best practices and measure business adoption and outcomes, including workflows improved, time saved, repeat usage, output quality, user satisfaction, employee proficiency, and user‑created solutions standardized for broader reuse.

Qualifications

• Strong business analysis, requirements gathering, process mapping, and workflow‑design skills, with genuine curiosity about how bankers and staff work and an ability to translate between business and technical teams.
• Advanced practical experience with enterprise generative AI platforms and demonstrated ability to design and optimize complex prompts, reusable instructions, custom assistants, skills, agents, or lightweight automations.
• Understanding of context windows, retrieval, grounding, hallucination, structured outputs, tool use, agents, model selection, and evaluation; ability to test AI outputs systematically rather than rely on plausibility.
• Familiarity with APIs, connectors, structured and unstructured data, enterprise search, and retrieval‑augmented generation concepts.
• Comfort working with Excel, PowerPoint, document workflows, customer relationship management systems, collaboration platforms, and other business tools.
• Excellent written and verbal communication, presentation, facilitation, and training skills; ability to work effectively with senior bankers and executives as well as junior bankers, assistants, and corporate staff.
• A practical builder and teacher mindset, focused on useful, maintainable solutions and helping users become more capable and self‑sufficient.
• Sound judgment on experimentation, sensitive information, and escalation; intellectual curiosity and commitment to adapting techniques as AI models and platforms evolve.
• Bachelor’s degree or equivalent professional experience.
• Approximately 5–10 years of experience in business analysis, product management, technology consulting, workflow automation, enterprise applications, data and analytics, or a related field.
• Meaningful hands‑on experience applying generative AI to real business workflows and translating loosely defined business problems into practical technology solutions.
• Demonstrated experience working directly with business users through discovery, design, implementation, training, and adoption.