VP, Artificial Intelligence at Concentra

Addison, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Aug, 26

Salary

0.0

Posted On

06 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Strategy, AI Governance, Machine Learning, Generative AI, Predictive Analytics, Clinical Decision Support, Intelligent Automation, Healthcare Regulatory Compliance, Data Governance, Change Management, Risk Management, Model Validation, Bias Detection, Executive Leadership, Strategic Planning, Vendor Management

Industry

Hospitals and Health Care

Description

Overview Concentra is recognized as the nation’s leading occupational health care company. With more than 40 years of experience, Concentra is dedicated to our mission to improve the health of America’s workforce, one patient at a time. With a wide range of services and proactive approaches to care, Concentra colleagues provide exceptional service to employers and exceptional care to their employees. The Vice President, Artificial Intelligence provides enterprise-wide leadership for Artificial Intelligence strategy, governance, and adoption across the organization. This role defines how AI is evaluated and deployed, to improve clinical outcomes, operational efficiency, and the patient and customer experience. This position combines strategy and leadership of AI-driven innovation to support the organization's overall goals. The VP, AI partners closely with the data organization to ensure AI initiatives are built on high-quality, governed data while maintaining focus on responsible AI practices, healthcare regulatory alignment, and measurable business impact. The role oversees all AI initiatives, establishes AI ethics and governance standards, drives enterprise-wide AI literacy and adoption. Plus, this person will be responsible for establishing policies and procedures governing the delivery of quality artificial intelligence services. Responsibilities Further develop and execute the enterprise AI strategy aligned with organizational goals, healthcare industry requirements, and emerging technology capabilities Oversee all AI initiatives and projects across the organization, ensuring alignment with strategic priorities and responsible deployment standards Oversee AI governance, ethics, and responsible AI frameworks with specific attention to patient safety, clinical risk, bias prevention, and regulatory compliance Evaluate, recommend, and oversee adoption of AI technologies and platforms including generative AI, clinical decision support, predictive analytics, and intelligent automation Drive AI adoption across business functions including clinical operations, revenue cycle, workforce optimization, referral management, and customer experience Partner with the data organization to ensure AI initiatives have access to high-quality, governed data and that AI-generated insights inform enterprise data strategy Establish AI literacy and change management programs to accelerate responsible adoption across clinical, operational, and administrative functions Monitor the healthcare AI regulatory landscape including HIPAA implications, FDA guidance on AI/ML-based software, and emerging state and federal AI legislation Define and track AI performance metrics, return on investment, and business impact across all deployed initiatives Collaborate with clinical, operational, sales and technology leadership to identify high-value AI use cases and maintain a prioritized AI portfolio Evaluate and manage relationships with AI technology vendors, research partners, and healthcare AI ecosystem participants Develop and maintain the organization’s AI risk management framework including model validation, bias detection, explainability, and ongoing monitoring Collaborates with other members of the executive management team to align AI strategy and direction with the overall goals of the organization Present AI strategy, progress, and outcomes to the executive leadership team and Board of Directors Qualifications Education Level: Bachelor’s degree in Computer Science, Information Systems/Technology, Data Science, or other related field will be required Master’s degree preferred Seven or more years of progressive leadership experience in AI/ML strategy and delivery, with at least three years in a senior or executive role directing enterprise AI programs. Demonstrated experience leading enterprise AI initiatives in healthcare or healthcare-adjacent organizations, with understanding of clinical workflows, regulatory constraints, and patient safety considerations. Track record of deploying AI solutions at scale in regulated industries with measurable clinical, operational, or financial outcomes. Experience establishing AI governance frameworks, responsible AI practices, and ethics standards within a large enterprise. Experience partnering with data governance and data platform organizations to ensure AI initiatives are supported by high-quality, governed, and compliant data. Experience building and leading high-performing AI teams including data scientists, ML engineers, and AI product managers. Experience navigating healthcare regulatory requirements as they relate to AI including HIPAA, FDA guidance on AI/ML-based software, and emerging AI legislation. Experience driving organizational change management and AI adoption across both technical and non-technical stakeholders in large, diverse business settings. Concentra Core Competencies of Service Mentality, Attention to Detail, Sense of Urgency, Initiative and Flexibility Ability to make decisions or solve problems by using logic to identify key facts, explore alternatives, and propose quality solutions Outstanding customer service skills as well as the ability to deal with people in a manner which shows tact and professionalism The ability to properly handle sensitive and confidential information (including HIPAA and PHI) in accordance with federal and state laws and company policies Health care experience preferred Strong understanding of data management, data science and AI technologies Develop and execute data and AI strategy Communicate effectively technical and security-related concepts to a broad range of technical and non-technical staff Knowledge and ability to develop and implement strategies Proven ability to assess, resolve and document complex problems Ability to prioritize and effectively communicate risk in an appropriate, solution based and timely manner Experience in seeking innovative solutions to obstacles Knowledge and expertise of regulatory compliance and data governance policies Knowledge of SOX Proven ability to work effectively with the business leaders in defining product requirements and specifications Inherent knowledge of development processes and best practices to manage multiple, large scale, and co-dependent systems software development projects consistently on time and on budget Additional Data Employee Benefits 401(k) Retirement Plan with Employer Match Medical, Vision, Prescription, Telehealth, & Dental Plans Life & Disability Insurance Paid Time Off Colleague Referral Bonus Program Tuition Reimbursement Commuter Benefits Dependent Care Spending Account Employee Discounts We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation, if required. *This job requires access to confidential and sensitive information, requiring ongoing discretion and secure information management* Concentra is an equal opportunity employer that prohibits discrimination, and will make decisions regarding employment opportunities, including hiring, promotion and advancement, without regard to the following characteristics: race, color, national origin, religious beliefs, sex (including pregnancy), age, disability, sexual orientation, gender identity, citizenship status, military status, marital status, genetic information, or any other basis protected by federal, state or local fair employment practice laws.

Responsibilities

Provide enterprise-wide leadership for AI strategy, governance, and adoption to improve clinical outcomes and operational efficiency. Oversee the deployment of responsible AI frameworks while partnering with data organizations to ensure high-quality, compliant data usage.