Manager, Enterprise Engineering Solutions (EES)

Job Summary: The Manager, Enterprise Engineering Solutions (EES) is responsible for leading a team of IT professionals and overseeing the design, delivery, support, and continuous improvement of enterprise technology solutions. This role ensures alignment of technology initiatives with business objectives, drives operational excellence, and promotes scalable, reliable, and secure systems across the organization. The Manager fosters a culture of innovation, collaboration, and continuous improvement while ensuring compliance with applicable regulatory and organizational standards. Essential Functions: • Lead, mentor, and develop a high-performing team; establish clear goals, expectations, and performance standards • Lead the team through process, tooling, or organizational change, communicating impact and expectations clearly. • Manage resource capacity, staffing, and vendor/partner relationships to support delivery and operational objectives • Develop and execute technology strategies and roadmaps aligned with business priorities • Oversee delivery of projects, enhancements, and ongoing production support across enterprise platforms • Drive adoption of best practices across the software development lifecycle (SDLC), including Agile and DevOps methodologies • Lead initiatives from concept through implementation, ensuring scalable, high-quality solutions • Ensure reliability, availability, security, and performance of systems through strong operational practices • Oversee incident management, production support, and service level agreement (SLA) adherence • Identify and mitigate risks, resolve issues, and optimize platform performance and resiliency • Establish and track metrics, KPIs, and reporting to drive performance and continuous improvement • Partner with business stakeholders and IT teams to translate business needs into effective technology solutions • Serve as a liaison between IT and business areas, ensuring alignment and clear communication • Ensure adherence to organizational standards, security requirements, and applicable healthcare regulations • Identify opportunities to enhance processes, tools, and delivery models, promoting automation, efficiency, and innovation • Continuously identify and implement opportunities to automate or agenticize production support, testing, documentation, monitoring, and repetitive engineering activities. • Establish and manage engineering outcomes focused on productivity, delivery flow, reliability, quality, automation, and cost efficiency. • Establish team-level guidelines for responsible, secure use of AI tools in the SDLC. • Drive AI adoption and business outcomes by identifying, prioritizing, and delivering AI-enabled capabilities that improve productivity, quality, customer experience, speed to market, risk management, or cost efficiency within their area of responsibility. • Build AI capability within their organization by ensuring their teams are equipped, trained, and expected to leverage AI tools and practices to improve effectiveness, accelerate delivery, and continuously evolve the way work is performed. • Perform any other job related duties as requested. Education and Experience: • Bachelor's degree in Computer Science, Information Technology, Business, or related field required • Equivalent years of relevant work experience may be accepted in lieu of required education • Five (5) years of experience in IT, application development, systems engineering, or related field required • Three (3) years of leadership or management experience required • Experience with SDLC methodologies (Agile, DevOps, or hybrid approaches) required • Experience in healthcare or managed care environment preferred Competencies, Knowledge and Skills: • Basic financial acumen, including budget tracking and cost awareness • Conflict resolution and difficult-conversation skills • Working knowledge of AI-assisted development and operations tools and their impact on team p