Artificial Intelligence Governance Lead, Senior Advisor

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare.  Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference.

We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers.

As an AI governance lead and a key member of our AI CoE, you will play a pivotal role in driving this transformation. The Lead AI Governance is responsible for establishing and overseeing the implementation of AI governance policies, ensuring AI systems are developed and deployed in an ethical, fair, transparent, and accountable manner. This role involves collaborating with cross-functional teams to design and enforce AI governance frameworks that align with organizational goals and adhere to relevant regulations.

Responsibilities:

• Create and maintain an AI catalog that documents all AI initiatives, tools, models, and their respective governance statuses.

• Develop and implement an ROI framework for evaluating the effectiveness and financial impact of AI projects across the organization.

• Create Standard Operating Procedures (SOPs) for AI governance processes to ensure consistency and compliance in all AI-related activities. Change management to help drive newly defined processes forward across the organization.

• Lead the creation and continuous improvement of internal AI governance policies and guidelines.

• Oversee adherence to established AI policy guidelines and ethical standards throughout the organization.

• Ensure AI initiatives comply with applicable legal and regulatory frameworks.

• Provide expert advice on navigating risks related to data privacy and AI vulnerabilities.

• Collaborate with teams managing AI-related risks to identify, evaluate, and mitigate potential hazards. Collaborate with internal experts in legal, IT, publishing, ethics, and security roles

• Deploy ongoing monitoring mechanisms to maintain conformity with ethical standards across AI systems' operational span.

• Manage the procedural aspects of AI governance to secure a methodical and replicable framework.

• Advocate for transparency and accountability in the use of artificial intelligence.

• Applies advanced knowledge and understanding of concepts, principles, and technical capabilities related to AI including Generative AI

• Analyze complex data and unique outcomes/customers in the different Business Units and be able to build and drive a cohesive story around the value of AI at the enterprise level.

• Understanding how the organization really functions, beyond just the formal structure, is critical. The lead will navigate organizational politics, culture, and informal networks to drive AI governance adoption. They need to know how decisions are made and how work gets done in practice.

• Recommends new practices, processes, metrics, or models

• Works on complex projects of large scope projects may have significant and long-term impact

• Provides solutions which may set precedent

• Multidisciplinary collaboration skills: AI governance requires input from diverse functions like data protection, risk, legal, security, and more. The lead must be able to bring these siloed teams together to address AI risks holistically. Strong communication, facilitation and collaboration skills are essential.

What is expected of you and others at this level

• Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects

• Participates in the development of policies and procedures to achieve specific goals

• Recommends new practices, processes, metrics, or models

• Works on or may lead complex projects of large scope

• Projects may have significant and long-term impact

• Provides solutions which may set precedent

• Independently determines method for completion of new projects

• Receives guidance on overall project objectives

• Acts as a mentor to less experienced colleagues

Qualifications 

• Bachelor’s degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred.

• 8-12 years of experience, preferred

• Strong grasp of how AI technologies work at a technical level and abili