Manager AI and Automation

Fairview Health Services•Minneapolis, MN

About The Position

The Technical Manager of AI & Automation is responsible for leading the delivery and implementation of AI and automation solutions aligned to enterprise AI and Automation strategy. Multiple openings available. Candidates with a passion for innovation, emerging technologies, and leading high-performing teams are encouraged to apply. This role partners to develop and implement standards for technical architecture and applies technical expertise to implement scalable solutions across the organization. This role demands deep technical expertise in artificial intelligence, machine learning, and intelligent automation platforms, with a strong emphasis on cloud-native (including Microsoft Azure and Amazon Web Services (AWS) solutions). The ideal candidate will have hands-on experience with AI/ML model development, deployment pipelines, and MLOps practices, as well as advanced proficiency in automation platforms such as Microsoft Power Automate and Automation Anywhere. This leader will be responsible for driving innovation through scalable and modular AI architectures, ensuring robust integration and practices- with enterprise systems and standards, and fostering a culture of technical excellence in automation, data, and AI/ML engineering. The Technical Manager will work in close partnership with internal IT stakeholders (architecture, applications, infrastructure analytics, IT operations, informatics), 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. The ideal candidate will possess excellent communication and technical skills, enabling them to effectively engage with stakeholders at all levels and across the enterprise. A deep understanding of healthcare data and regulatory requirements is essential, as this leader is responsible for ensuring compliance and maintaining the highest standards of data security and privacy. The candidate should have hands-on experience working with classic statistics, classic AI/ML approaches, and generative AI frameworks including their optimization; deploying AI models in production environments; leading development with teams leveraging a range of 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).

Requirements

Bachelor of Science IT, Computer Science, Data Science, Biostatistics Healthcare, Business or related field OR an equivalent combination of experience, education and/or training.
5 years related IT experience and a strong understanding of data science, data integration technologies and their applications
3 years experience managing enterprise software development teams
3 years leadership including direct mentoring and managing of others
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.
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 delivering AI and automation projects, with a strong track record of successful AI and automation solution implementations.
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

Nice To Haves

Master of Science Computer Science, Biostatistics, Data Science, AI, Information Technology, or a related field.
8 years 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 experience working with clinical data, preferably with the integration of EHR data, data governance and with analytics supporting a range of solutions
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
PMP Certification
TOGAF or other architectural certification
ITIL Foundation Certification
Lean IT Management Certification
Agile & Scrum Certification
Relevant certifications in AI or data science

Responsibilities

AI and Automation Strategy Execution: Execute and support delivery 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.
Innovation: Stay current with AI, automation, analytics, and data and AI 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 and redesigned workflows. Monitor solution outcomes to demonstrate solution value.
High Performing Team: Build and maintain a high-performing team through effective coaching, performance management, and team leadership. 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.