Healthcare Technology Integration and AI Consultant

Accenture•Boston, NY

About The Position

Accenture’s Health practice works with payer, provider, pharmacy, public health, and life sciences organizations to modernize technology platforms, transform operations, improve healthcare experiences, and apply data, automation, and AI responsibly. This role supports healthcare technology modernization, systems integration, interoperability, digital health, data modernization, and transformation initiatives. The consultant works across business, clinical, operational, data, and technology stakeholders to assess challenges, define requirements, develop recommendations, and support implementation, with an emphasis on measurable outcomes for patients, members, providers, and organizations. The role may involve healthcare platform modernization, health information exchange, data and integration improvements, AI-enabled capabilities, and modern delivery practices. It includes supporting client delivery, developing client-facing materials, and collaborating with multidisciplinary teams. Travel may be required and can range from 0% to 100%, depending on business need and client requirements.

Requirements

At least 3 years of experience in healthcare technology, consulting, systems integration, interoperability, digital health, healthcare operations, data modernization, or a related discipline.
At least 3 years of experience supporting healthcare technology implementation, modernization, consulting, or transformation programs in client-facing or operational environments.
At least 2 years of working knowledge of healthcare interoperability and integration, including APIs, FHIR, HL7, EDI, secure health information exchange, and related architectures.
At least 3 years of experience gathering and translating business, operational, clinical, and technical requirements into recommendations and implementation approaches.
At least 3 years of experience understanding healthcare systems, operations, workflows, and technology platforms across payer, provider, pharmacy, or public health organizations.
At least 3 years of familiarity with healthcare data, analytics, cloud technologies, digital platforms, AI-enabled capabilities, and healthcare privacy, security, governance, compliance, and responsible AI principles.
At least 3 years of experience working with analytical, communication, presentation, stakeholder management, problem-solving, and collaboration skills.
Bachelor’s degree or equivalent (minimum 12 years of work experience); candidates with an associate’s degree must have at least 6 years of equivalent work experience.
Applicants for employment in the United States must have work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

Experience with Epic, Oracle Health (Cerner), MEDITECH, Facets, QNXT, HealthRules, Salesforce Health Cloud, SAP, Workday, or comparable healthcare platforms.
Experience supporting interoperability initiatives involving HIEs, FHIR-based APIs, TEFCA, USCDI, CMS interoperability mandates, ONC regulations, provider connectivity, or healthcare network integration.
Experience in payer operations, provider operations, care management, prior authorization, pharmacy services, revenue cycle, public health, population health, member engagement, patient engagement, or digital health organizations.
Experience supporting healthcare data platforms, analytics ecosystems, cloud migrations, interoperability modernization, or AI readiness initiatives.
Experience with AI-enabled solutions, automation technologies, advanced analytics, intelligent workflows, or healthcare decision-support capabilities.
Experience in Agile, product-centric, platform engineering, DevSecOps, or modern software delivery environments.
Experience supporting business case development, transformation strategies, operating models, value realization approaches, or healthcare modernization roadmaps.
Certifications or practical experience related to healthcare technology, cloud platforms, Agile delivery, project management, healthcare interoperability, data, AI, analytics, architecture, or healthcare operations.

Responsibilities

Support healthcare technology modernization, systems integration, interoperability, digital health, and transformation initiatives across healthcare organizations.
Assess technology environments, applications, workflows, integrations, data ecosystems, governance structures, and operational processes to identify improvement opportunities and transformation priorities.
Analyze business, clinical, operational, regulatory, and technical requirements and translate them into recommendations, solution approaches, implementation plans, and modernization roadmaps.
Contribute to healthcare platform modernization involving care management, prior authorization, provider operations, pharmacy services, public health, EHR ecosystems, healthcare data platforms, digital health, and enterprise integration.
Support interoperability and health information exchange initiatives involving FHIR, HL7, APIs, EDI, HIEs, provider connectivity, identity management, consent management, patient matching, and secure data exchange.
Help clients improve data accessibility, interoperability, governance, quality, and integration to support analytics, automation, operational intelligence, digital health, and AI-enabled transformation.
Identify opportunities to apply AI, automation, analytics, and intelligent workflows to improve healthcare operations, workforce productivity, customer experiences, and business outcomes.
Support integration of AI-enabled capabilities into platforms, processes, workflows, and decision-making environments using appropriate governance, privacy, security, compliance, and responsible AI practices.
Facilitate stakeholder workshops, assessments, requirements sessions, interviews, and working meetings across business, clinical, operational, data, and technology organizations.
Support project delivery through planning, requirements management, stakeholder communications, issue resolution, testing coordination, deployment readiness, implementation support, and value realization.
Develop client deliverables such as assessments, business cases, transformation strategies, operating models, implementation roadmaps, value analyses, executive presentations, and status reports.
Collaborate with healthcare, product management, engineering, architecture, cloud, data, AI, security, operations, and change management teams to deliver integrated solutions and measurable outcomes.
Apply Agile methodologies, cloud technologies, platform engineering, DevSecOps, automation, continuous improvement, and AI-assisted delivery capabilities.
Contribute to proposal development, solutioning, thought leadership, capability development, and business growth initiatives.
Foster collaboration, continuous learning, knowledge sharing, and innovation across client and Accenture teams.
Travel as required by business need and client requirements; travel may vary from 0% to 100%.