AI & Digital Transformation Manager

OSI VISION LLC; San Antonio (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Osi Vision, LLC seeks an AI and Digital Transformation Manager to translate strategic AI initiatives into actionable plans, coordinate cross-functional teams, and guide pilots to production. You will support business development, proposal content, and governance to ensure responsible AI adoption.

Reporting to the Executive Director, IDTG, you will balance practical technical understanding with project leadership, driving innovations and measurable improvements across client and internal programs.

Qualifications

• Bachelor's degree in a technical field.
• Completion of intermediate-level AI training relevant to applied AI.
• Experience supporting AI adoption including use-case identification and pilots.
• Understanding of generative AI, prompting, output validation, and data handling.
• Experience developing training or guidance materials.
• Experience managing projects with schedules, milestones, risks.

Responsibilities

• Translate strategic priorities into actionable AI implementation plans.
• Coordinate pilots and transition to operational use.
• Develop training materials and user guidance for AI tools.
• Manage projects and workstreams with timelines and risks.
• Support business development, capture, and proposal activities.

Skills

Analytical thinking

AI & GenAI knowledge

Project management

Communication

Change management

Innovation

Education

Bachelors in CS/Engineering

AI training programs

Job description

Job Summary:

Osi Vision seeks an AI and Digital Transformation Manager to help execute and refine established strategies for artificial intelligence (AI) adoption, corporate and client modernization, and innovation. Reporting to the Executive Director, IDTG, the manager will translate strategic priorities into actionable plans, manage assigned projects and workstreams, and coordinate implementation across internal teams, clients, and technology partners. The role combines practical technical understanding, project management, and AI enablement to help organizations incorporate AI and digital capabilities into their operations. The manager will also support business development, capture, and proposal development. The position reports to the Executive Director and is responsible for advancing approved initiatives and recommending improvements.

Supervisory Responsibilities

• Not specified in the source job description; to be determined based on assigned projects and organizational requirements.

Competency

To perform the job successfully, an individual should demonstrate the following competencies:

• Analytical and Problem Solving – Assesses business processes, identifies practical AI use cases, and evaluates feasibility and outcomes.
• Technical Skills – Understands applied and generative AI, prompt development, output validation, automation, and responsible information handling.
• Teamwork and Change Management – Collaborates across business and technical teams, supports adoption, and addresses implementation barriers.
• Project Management – Coordinates schedules, deliverables, resources, dependencies, risks, and stakeholder decisions.
• Innovation and Quality – Evaluates emerging technologies, validates outputs, measures performance, and improves repeatable practices.
• Organizational Support and Judgment – Works within established leadership priorities, company policies, security requirements, and client constraints.
• Oral and Written Communication – Explains technical concepts to leadership, clients, and users; prepares clear guidance and proposal content.

Key Responsibilities

• Strategy execution and planning: Support established IDTG strategies and roadmaps. Develop implementation plans, recommend improvements, and advance approved initiatives in alignment with leadership priorities.
• AI adoption and use case development: Engage stakeholders to assess readiness, identify opportunities, evaluate workflows, and prioritize use cases based on value, feasibility, and mission needs. Coordinate pilots and support the transition to operational use.
• AI enablement and training: Develop and deliver practical training, demonstrations, workshops, user guidance, and support materials. Help users apply approved AI tools through effective prompting, output validation, and responsible use.
• Workflow integration and change management: Help teams incorporate AI into daily processes, address adoption barriers, and establish repeatable practices that support sustained use.
• Corporate and client modernization: Assess business processes and technology needs. Recommend and coordinate improvements using AI, automation, and other digital capabilities.
• Project and workstream management: Manage assigned schedules, deliverables, resources, dependencies, and risks. Provide leadership with clear progress updates and recommendations on issues requiring decisions.
• Innovation and technical coordination: Evaluate emerging technologies and partner capabilities. Coordinate demonstrations, testing, implementation, documentation, and operational handoffs with technical teams and stakeholders.
• Business development and capture: Support opportunity assessments, customer discussions, solution development, and technical positioning aligned with customer requirements and Osi’s capabilities.
• Proposal development: Contribute technical narratives, implementation approaches, staffing inputs, and relevant capability and past performance content.
• Governance and responsible use: Coordinate with appropriate stakeholders to align implementation with company policies, security requirements, data protection, and client constraints.
• Performance measurement: Track adoption, user proficiency, implementation progress, and measurable outcomes, including time savings, quality improvements, and business or mission value.
• Knowledge management: Maintain project records, technical guidance, lessons learned to support continuity, reuse, and continuous improvement.

Core Competencies, Measurable Metrics & Qualifications

• Translate strategic priorities and mission needs into actionable implementation plans and measurable deliverables.
• Track AI adoption, user proficiency, implementation progress, time savings, quality improvements, and business or mission value.
• Maintain clear project records, technical guidance, lessons learned, and leadership status reporting.
• Coordinate AI implementation in accordance with company policies, security requirements, data protections, and client constraints.

Education and/or Experience

• Bachelor’s degree in a technical field, such as computer science, information technology, engineering, or a related discipline.
• Completion of intermediate-level AI training relevant to applied AI, generative AI, implementation, or organizational adoption.
• Demonstrated experience supporting AI adoption or enablement, including use case identification, tool evaluation, pilots, and integration into business workflows.
• Practical understanding of generative AI capabilities and limitations, prompt development, output validation, and appropriate handling of company and client information.
• Experience developing or delivering training, demonstrations, user guidance, or other materials that improve effective technology use.
• Experience assessing processes and identifying opportunities for AI, automation, or digital modernization.
• Experience managing projects or multiple workstreams, including schedules, deliverables, risks, and stakeholder coordination.
• Ability to translate business and mission needs into practical requirements and implementation approaches.
• Experience supporting business development, capture, or technical proposal activities.
• Strong written and verbal communication skills, including the ability to explain technical concepts to leadership, customers, and users.
• Ability to work independently within established priorities and collaborate across technical and business teams.

Other Qualifications

• Security Clearance: Minimum Secret clearance required.
• Physical Demands and Work Environment: Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential functions.

Language Skills

• Strong written and verbal communication skills, including the ability to explain technical concepts to leadership, customers, and users and prepare implementation guidance and proposal materials.

Reasoning Ability

• Ability to evaluate workflows, assess value and feasibility, resolve implementation issues, and translate business and mission requirements into practical solutions.

Computer Skills

• Practical understanding of generative AI tools, prompting, output validation, automation, and digital capabilities; ability to develop training materials and technical documentation.

Other Skills and Abilities

• Ability to work independently within established priorities, coordinate cross-functional stakeholders, and support business development, capture, and technical proposals.