Application & AI Delivery Manager (Remote)

American Specialty Health Incorporated
•$89,300 - $118,000•Remote

About The Position

American Specialty Health Incorporated (ASH) is seeking an Application & AI Delivery Manager for its Information Technology Operations department. This business-facing leadership role bridges business stakeholders and technology teams, serving as the primary relationship owner and strategic advisor to business leaders. The manager helps identify, evaluate, and realize value from application, automation, and AI-enabled solutions that advance organizational objectives. The role leads stakeholders through the full solution lifecycle, from discovery and intake through delivery, adoption, and measured outcomes. It owns the enterprise application and AI intake process and guides requests through evaluation, governance, planning, and delivery. The manager ensures solutions meet organizational requirements for security, privacy, compliance, vendor management, and responsible AI governance, while continuously improving intake, review, and delivery processes. This hybrid business and technical role requires direct, hands-on experience building and deploying AI productivity tools and AI agents, alongside a primary focus on business partnership and value realization. The position is remote and requires a designated work-from-home area, company-provided technology equipment, and a stable internet connection with at least 50 Mbps download and 10 Mbps upload; 100 Mbps download and 20 Mbps upload is recommended. The role is primarily sedentary and may involve working from a WFH environment or traveling within and around a facility. The stated full-time annual salary range is $89,300 to $118,000, depending on qualifications and other factors.

Requirements

  • Bachelor’s degree or equivalent experience is required; if qualifying through equivalent experience, a high school diploma is required.
  • Five years of experience in business relationship management, technology initiative leadership, product management, business analysis, or related disciplines is required.
  • One to three years of experience partnering with business leaders and stakeholders to identify needs, shape solutions, and drive measurable business outcomes is required.
  • High proficiency facilitating discovery sessions, requirements workshops, and cross-functional working sessions.
  • High proficiency and hands-on experience building and deploying AI productivity tools and AI agents in a business or enterprise context.
  • High proficiency working with cross-functional business and technical teams.
  • High proficiency and knowledge of application delivery lifecycles, governance processes, and technology implementation practices.
  • High proficiency in stakeholder management, communication, facilitation, and organizational skills.
  • High proficiency balancing business objectives, risk considerations, and delivery timelines.
  • Demonstrated ability to interact positively and respectfully and establish and maintain cooperative working relationships.
  • Ability to provide excellent customer service to internal and external customers.
  • Excellent listening and interpersonal communication skills to identify critical competencies based on success factors and the organizational environment.
  • Ability to organize, prioritize, multitask, and manage time effectively.
  • Demonstrated accuracy and productivity in a changing environment with constant interruptions.
  • Ability to analyze information, problems, issues, situations, and procedures to develop effective solutions.
  • Ability to exercise strict confidentiality.
  • Ability to see, speak, and hear personnel and/or objects; communicate verbally and in writing; travel within and around a facility or WFH environment; and use a telephone, computer keyboard, and mouse.
  • Ability to lift up to 10 pounds.
  • For remote work, ability to work from home in a designated work area using company-provided equipment and maintain a reliable internet connection with at least 50 Mbps download and 10 Mbps upload; 100 Mbps download and 20 Mbps upload is recommended.

Nice To Haves

  • Bachelor’s degree in Business Administration, Information Technology, Computer Science, or a related field is preferred.
  • One to three years of experience with enterprise application governance, vendor management, or technology portfolio management is preferred.
  • One to three years of experience leading AI, automation, and digital transformation initiatives with measurable business impact is preferred.
  • One to three years of familiarity with security, privacy, compliance, and risk management processes is preferred.
  • One year of experience in healthcare or regulated industries is preferred.
  • One to three years of experience in Project Management, Product Management, or Business Analysis, or related professional certifications, is preferred.

Responsibilities

  • Serve as the primary business relationship owner for application, automation, and AI initiatives, building partnerships with business leaders and stakeholders.
  • Lead discovery engagements, workflow assessments, and requirements-gathering activities to understand operational challenges, priorities, and technology needs.
  • Guide business teams in identifying and evaluating solutions, including existing enterprise capabilities, application enhancements, automation, and AI-enabled solutions.
  • Advise business leaders on introducing new applications, emerging technologies, and AI capabilities.
  • Connect business stakeholders with application, AI, integration, data, infrastructure, and other technical teams to assess options and develop recommendations.
  • Collaborate with business partners to define success criteria, adoption goals, key performance indicators, and expected outcomes before work begins.
  • Help develop business cases, expected outcomes, success measures, and implementation approaches.
  • Facilitate the identification of baseline measures and value metrics for application, automation, and AI initiatives.
  • Work with stakeholders to establish ways to measure operational improvements, productivity gains, cost avoidance, risk reduction, user experience improvements, and other targeted outcomes.
  • Coordinate communication, training, and change management activities to support adoption.
  • Monitor implementation outcomes and stakeholder feedback, identifying opportunities for improvement and course correction.
  • Develop reporting and visibility into realized benefits, adoption trends, and business outcomes across the application and AI portfolio.
  • Recommend enhancements, process improvements, or additional capabilities based on measured results and evolving business needs.
  • Provide leadership with visibility into the value delivered by technology initiatives and progress toward measuring business outcomes.
  • Own and continuously improve the enterprise application and AI intake process.
  • Serve as the primary entry point for requests involving applications, technology capabilities, automation opportunities, and AI-enabled solutions.
  • Evaluate incoming requests and determine appropriate review paths based on request type, risks, and organizational requirements.
  • Coordinate application governance, vendor oversight, security architecture review, legal, privacy, procurement, and AI governance activities as needed.
  • Ensure reviews are appropriately scoped to the proposed change or use case while balancing risk management and timely delivery.
  • Maintain intake standards, documentation, decision records, process metrics, and stakeholder communications.
  • Support maintenance of the enterprise AI registry and application portfolio inventory.
  • Coordinate approved initiatives from intake through implementation, adoption, and transition to operational ownership.
  • Establish delivery plans, milestones, dependencies, risks, and stakeholder commitments with business and technical teams.
  • Facilitate collaboration among business, engineering, architecture, security, infrastructure, vendor, and governance stakeholders.
  • Support testing, pilots, deployment readiness, go-live planning, and post-implementation stabilization.
  • Track progress, remove obstacles, and escalate issues that may affect successful delivery.
  • Ensure clear ownership and accountability throughout the solution lifecycle.
  • Identify opportunities to improve intake, governance, and delivery processes.
  • Promote standardization, reuse of approved technologies, and reduction of unnecessary technology duplication.
  • Develop and maintain process documentation, templates, decision frameworks, and reporting metrics.
  • Partner with governance and technical stakeholders to streamline reviews and improve the stakeholder experience.
  • Maintain awareness of emerging technologies, application capabilities, automation opportunities, and AI advancements that may benefit the organization.
  • Perform other duties as assigned and comply with all policies and standards.
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