AI Engineering Lead

The Artificial Intelligence (AI) Engineering Lead will lead Information Technology Solutions' (ITS) artificial intelligence and data science initiatives within the Office of Data & Analytics. The incumbent is a proactive leader who can act as a technical strategist and a hands-on expert. This position will partner with leaders across ITS and the UCR campus to bring high-impact AI and Data Science projects to life. As a key technical leader, the incumbent will be responsible for mentoring a team of AI professionals and serving as an AI technical enabler for ITS' development teams. The position will drive the adoption of AI across UCR by empowering teams to integrate AI capabilities into their work, whether it's embedded within custom applications, reporting, or intelligent agents. This role will involve having a constant pulse on solutioning to embed AI within existing products, processes, and initiatives. This position is classified as predominantly remote with occasional visits to campus as needed. Working hours will be based on Pacific Standard Time (PST). The full salary range for the AI Engineering Lead is $126,700 - $248,700 annually. However, the pay scale for this position is up to $200,000 annually. We base salary offers on a variety of considerations, such as education, licensure and certifications, experience, and other business and organizational needs. Applicants must have current work authorization when accepting a UCR staff position. Currently, UCR is unable to sponsor or take over sponsorship of an employment Visa for staff. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.\n \nDevelops enterprise data models at several levels of detail. Develops and maintains enterprise dimensional data structures. Specifies processes for maintenance of dimensions and sets of dimensions.Directs, initiates and designs data/information management studies. Prepares recommendations for data/information management and/or resource plans having critical, organization-wide and/or institution-wide impact.Regularly leads, directs, analyzes and prepares recommendations for data management information needs across process domains and academic disciplines. Performs analysis, up to and including the most complex and advanced.People Development and Team Leadership: Foster a culture of servant leadership within your team, prioritizing the growth and well-being of your direct reports. Empower your team to make decisions, take ownership of their work, and grow their skills. Act as a coach and mentor, helping your team members overcome obstacles and achieve their professional goals.Designs overall sourcing strategies. Designs and maintains communication across functional areas or disciplinary domains.Agile Leadership: Mentor the Data Science & AI team in an agile development process, guiding daily stand-ups, sprint planning, and retrospectives along with our scrum master. Manage project backlogs and ensure a steady cadence of product delivery, helping the team prioritize tasks and remove blockers.\n \nDemonstrated ability to effectively communicate with executive-level management on a regular basis.Familiarity with data quality and governance issues and requirements.Expert knowledge of data management systems, practices and standards.Thorough knowledge of relevant rules and regulations.Demonstrated ability to work with others from diverse backgrounds. Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.Self-motivated and works independently and as part of a team. Demonstrates problem-solving skills. Able to learn effectively and meet deadlines. Strong organizational skills.Expert analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems.Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail.Solid understanding of machine learning models, data science methodologies, and generative AI concepts.Ability to prepare models at varying levels of detail, such as broad conceptual and planning models as well as detailed logical designs or dimensional models.Expert skill in logical data design, data integration and the specification of data services.Good negotiation and influencing skills.Demonstrated service orientation skills.A talent for identifying the root cause of user problems and framing them in a way that allows for effective AI and data-driven solutions.Exceptional communication and presentation skills, with the ability to inspire and educate diverse audiences.A proactive and collaborative leader who can work across departments to build consensus and drive change.The ability to listen and speak with users and stakeholders in a clear, non-technical way to truly understand their challenges and needs.A servant leader mindset, with a passion for coaching, mentoring, and empowering others to succeed.\n \nSolid understanding of machine learning models, data science methodologies, and generative AI concepts. Demonstrated ability to work with others from diverse backgrounds. Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Self-motivated and works independently and as part of a team. Demonstrates problem-solving skills. Able to learn effectively and meet deadlines. Strong organizational skills. Expert analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems. Expert knowledge of data management systems, practices and standards. Familiarity with data quality and governance issues and requirements. Thorough knowledge of relevant rules and regulations. Demonstrated ability to effectively communicate with executive-level management on a regular basis. Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail.Exceptional communication and presentation skills, with the ability to inspire and educate diverse audiences. A proactive and collaborative leader who can work across departments to build consensus and drive change. The ability to listen and speak with users and stakeholders in a clear, non-technical way to truly understand their challenges and needs. A servant leader mindset, with a passion for coaching, mentoring, and empowering others to succeed. Good negotiation and influencing skills. A talent for identifying the root cause of user problems and framing them in a way that allows for effective AI and data-driven solutions. Expert skill in logical data design, data integration and the specification of data services. Demonstrated service orientation skills. Ability to prepare models at varying levels of detail, such as broad conceptual and planning models as well as detailed logical designs or dimensional models.