System Director AI and Automation

The System Director of AI and Automation will be responsible for overseeing the development and implementation of AI strategies and solutions across the organization. This role requires a strong understanding of AI, automation, and data technologies, strong leadership skills, and the ability to collaborate with various departments to drive AI, automation, and data stewardship initiatives. The System Director will work in close partnership with internal IT stakeholders (architecture, applications, analytics, technical operations), business partners (operations, clinical or shared business services), and external partners (vendors, academic or others) to accomplish program goals for AI, Automation, and AI governance including building out a Center of Excellence. The ideal candidate will possess excellent communication and interpersonal skills, enabling them to effectively engage with stakeholders at all levels. A deep understanding of healthcare for ensuring compliance and maintaining the highest standards of data security and privacy.


Responsibilities

• AI and Automation Strategy Development: Lead the creation and execution of the organization's AI and automation strategy, ensuring alignment with overall business goals and objectives as well as judicious capability development.
• AI and Automation Solution Implementation: Oversee the deployment of AI solutions often working with solution owner(s), including machine learning models, natural language processing including generative AI, and computer vision applications.
• AI Performance Monitoring: Establish and utilize metrics and processes to monitor the performance and impact of AI solutions, directing adjustments as needed to optimize outcomes and minimize organizational risk. Work with operational owners on business case development.
• Governance and AI Oversight: Mature governance practices and data literacy and educational engagement throughout the organization. Ensure AI/automation initiatives comply with relevant regulations and ethical standards, including data privacy and security.
• Innovation: Stay current with AI, automation, analytics, and data governance advancements and trends, driving continuous improvement and innovation within the organization.
• Collaboration and AI/Automation Value: Work closely with IT, data science, and business teams to identify promising AI and automation opportunities, integrate AI and automation solutions into existing workflows. Monitor solution outcomes.
• Global High Performing Team: Create a team culture focused on high performance through effective recruitment, coaching and development, team modeling and design, work assignments focused on improving and growing our key talent, and enabling the success and empowerment of the team. Foster a culture in which creativity and innovation thrive; identify changes in the technology stack or processes that will motivate innovative problem-solvers. Ability to lead a global, technical staff of internal resources and strategic partners. Previous experience working closely with external vendors to internalize capabilities and build competency of internal staff in data technologies.

Required Qualifications

• Bachelor of Arts in information technology, Computer Science, Data science, Biostatistics Healthcare, Business, or related field or an equivalent combination of experience, education and training.
• 8 years of related IT experience and a strong understanding of data science, data integration technologies and their applications.
• 5 years experience managing enterprise software development teams.
• 5 years of leadership including direct mentoring and managing of others, including managing leaders of others
• Strong leadership and project management skills, with the ability to inspire and guide cross-functional teams.
• Expertise in AI technologies, including machine learning, deep learning, and data analytics and the maintenance of these solutions.
• Excellent communication and presentation skills, with the ability to convey complex AI, automation, data and other technology concepts to non-technical stakeholders.
• Proven experience in leading AI and automation projects and teams, with a strong track record of successful AI and automation solution implementations.
• Knowledge of clinical data integration including RESTful and SOAP oriented web service development, ETL technology (SSIS, Data Stage, Informatica, etc.), interface protocol models (HL7, X12), EDI standards, ESB (MuleSoft) knowledge.
• Experience with database management, data warehousing, SQL, master data management, and data modeling including healthcare common data models.
• Experience with business intelligence, analytics, and data visualization platforms.
• Results-oriented with strong coaching, decision making, influencing, mentoring, negotiation, problem-solving and situational analysis skills.
• Think innovatively and strategically, keeping in mind organizational goals and objectives.
• Possess strong analytical thinking skills, ability to deconstruct complex problems and define and implement solutions

Preferred Qualifications

• Advanced Degree in Computer Science, Biostatistics, Data Science, AI, Information Technology, or a related field.
• 10 years of industry experience, some in health care preferred
• 5 years experience designing and building analytics solutions across multiple cloud vendors including leveraging open-source ecosystem
• 5 years of experience working with clinical data, preferably with the integration of EHR data.
• The candidate should have hands-on experience working with classic statistics, classic AI/ML and generative AI frameworks; deploying AI models in production environments; and leading those working with programming languages (e.g., Python, R, Java), AI tools (e.g., TensorFlow, PyTorch, scikit-learn) and associated enabling technologies including familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Large language modeling (LLM) prompt engineering and other LLM optimization techniques (e.g., RAG – retrieval augmented generation, fine-tuning) experience
• Experience working with global strategic partners
• Experience with web services integration and development.
• Thrives in a fast-paced, collaborative environment, efficiently works under pressures, within deadlines or other time essential constraints.
• Experience with JIRA and Confluence and other productivity tools
• Relevant certifications in AI or data science
• ITIL Foundation Certification
• Lean IT Management Certification
• Agile & Scrum Certification

Fairview offers a generous benefit package including but not limited to medical, dental, vision plans, life insurance, short-term and long-term disability insurance, PTO and Sick and Safe Time, tuition reimbursement, retirement, early access to earned wages, and more! Please follow this link for additional information: https://www..fairview.org/careers/benefits/noncontract

The posted pay range is for a 40-hour workweek (1.0 FTE). The actual rate of pay offered within this range may depend on several factors, such as FTE, skills, knowledge, relevant education, experience, and market conditions. Additionally, our organization values pay equity and considers the internal equity of our team when making any offer. Hiring at the maximum of the range is not typical.

Salary : $183,414 - $258,939