Sr. Solution Analyst
About the role
The Solutions Analyst or Senior Solutions Analyst role is part of Gillette Children's Enterprise Architecture team. This is a hybrid opportunity, with an expectation of working onsite in St. Paul a minimum of four days per month, along with additional onsite flexibility as needed.
Responsibilities
Partner with operational and clinical stakeholders to investigate problems, clarify business objectives, and design technology solutions that improve workflows and support exceptional patient care.
Collaborate with cross-functional teams to translate business needs into effective, scalable solutions that make a meaningful impact.
Design, configure, and implement solutions using low-code/no-code platforms, automation tools, AI technologies, and other enterprise applications.
Create process flows, solution documentation, and testing plans to ensure successful implementation.
Support solution adoption through user training, communication, and change management activities.
Partner with Enterprise Architecture, Information Systems, Information Security, and other technology teams to ensure solutions align with organizational standards.
Coach and support citizen developers while promoting responsible and effective use of emerging technologies, including generative AI.
Qualifications
Required: Bachelor's degree in computer science, management of information systems, information technology, business administration, healthcare informatics, or a related field. Minimum of 4 years of experience in business analysis, systems analysis, solution design, or a related role.
Preferred: Relevant master's degree may substitute for 2 years of experience.
Senior Solution Analyst: Minimum of 7 years of experience in business analysis, systems analysis, solution design, or a related role. A relevant master's degree may substitute for 2 years of experience.
Experience gathering business and technical requirements and producing solution designs.
Ability to test assumptions and clarify the actual need behind a stakeholder's request before committing to a design.
Ability to communicate technical concepts to non-technical stakeholders, and business problems to technical teams.
Understanding of business analysis methods, including requirements elicitation, process mapping, and acceptance criteria.
Understanding of solution design principles and how to fit a solution to available platforms and architecture.
Ability to move between analysis, design, and hands-on build work within the same engagement.
Understanding of generative AI capabilities, limitations, and responsible use in healthcare settings.
Ability to define acceptance criteria and partner with stakeholders to measure adoption.
Ability to coach citizen developers and recognize when a solution needs to move into centralized development.
Comfort working in ambiguous problem spaces where requirements are not yet defined.
Ability to learn new tools and platforms as the technology landscape evolves.
Preferred: Experience working in healthcare or with electronic health record (EHR) systems.
Experience with Oracle Health Millennium.
Experience with Microsoft 365, Microsoft Azure, Microsoft SQL Server, or Power BI.
Experience with low-code or AI agent development platforms such as OutSystems, Microsoft Power Platform, or Copilot Studio.
Experience designing or implementing systems integrations using REST APIs.
Experience developing or implementing generative AI solutions or agents.
Experience with FHIR or HL7 healthcare data standards.
Software development or software engineering experience.
Experience with UI/UX design.
Experience leading vendor evaluations or buy-vs-build investigations.