Healthcare Technology Integration and AI Transformation Manager

Accenture•Boston, NY

About The Position

Accenture is hiring a healthcare technology professional to lead and support modernization, systems integration, and transformation initiatives across payer, provider, and healthcare services organizations. The role assesses healthcare platforms, application portfolios, processes, workflows, integrations, and data environments; defines target-state capabilities, solution approaches, operating models, architecture direction, and implementation roadmaps; and translates business, clinical, operational, regulatory, and technical needs into actionable delivery plans. The position involves leading cross-functional teams through planning, requirements, design, integration, testing, deployment, stabilization, and adoption. It also supports applying AI, automation, analytics, and intelligent workflows responsibly in healthcare settings, while strengthening data management, interoperability, governance, security, privacy, and quality. The role collaborates with client and Accenture stakeholders, contributes to proposals and growth activities, and mentors junior practitioners. Travel may be required based on client and business needs.

Requirements

At least 5 years of experience in healthcare technology, consulting, systems integration, digital health, healthcare operations transformation, or a related discipline.
At least 5 years of experience delivering client-facing healthcare technology programs, transformation initiatives, systems integrations, or platform implementations.
At least 5 years of experience in one or more healthcare domains, such as claims, care management, provider operations, pharmacy, EHRs, revenue cycle, digital health, healthcare data platforms, or member/patient engagement.
At least 5 years of knowledge of healthcare integration, interoperability, and secure data exchange, including APIs, FHIR, HL7, EDI, identity management, and related architectures.
At least 5 years of experience translating business and operational requirements into solution designs, roadmaps, implementation plans, and technology recommendations.
At least 5 years of understanding of healthcare data, analytics, cloud platforms, digital technologies, AI-enabled capabilities, privacy, security, compliance, governance, and responsible AI.
At least 5 years of strong project delivery, Agile, stakeholder management, communication, facilitation, presentation, problem-solving, and cross-functional collaboration skills.
Bachelor's degree or equivalent professional experience. The posting also states a bachelor's degree or equivalent with a minimum of 12 years' work experience; an associate's degree requires an equivalent minimum of 6 years' work experience.
Applicants for U.S. employment must have work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

Experience with payer or provider platforms such as Facets, QNXT, HealthRules, Epic, Oracle Health (Cerner), Salesforce Health Cloud, SAP, Workday, or similar healthcare technology solutions.
Experience with healthcare transformation involving claims modernization, core administration, prior authorization, provider operations, care management, revenue cycle, pharmacy, or digital health.
Experience with cloud migrations, application modernization, enterprise integration, healthcare APIs, interoperability programs, or healthcare data platform modernization.
Experience identifying or implementing AI, automation, analytics, decision support, or intelligent workflow capabilities in healthcare organizations.
Experience developing business cases, transformation roadmaps, operating models, value realization frameworks, or implementation strategies.
Experience with healthcare change management, organizational readiness, process redesign, workforce adoption, or human-AI ways of working.
Certifications or practical experience in cloud, Agile delivery, program management, healthcare technology, architecture, data, AI, or change management.

Responsibilities

Lead healthcare technology modernization, systems integration, and transformation workstreams for payer, provider, and healthcare services organizations.
Assess application portfolios, platforms, processes, integrations, workflows, data environments, and operational challenges to identify transformation opportunities.
Help define target-state capabilities, solution approaches, operating models, architecture direction, and implementation roadmaps aligned with business objectives.
Translate business, operational, clinical, regulatory, and technical requirements into solution designs, actionable plans, and delivery approaches.
Support modernization initiatives involving healthcare platforms, claims systems, care management, utilization management, provider operations, EHR ecosystems, pharmacy platforms, digital health, and enterprise data environments.
Lead cross-functional teams through project planning, requirements, design, integration, testing, deployment, stabilization, and adoption.
Manage scope, schedules, deliverables, risks, issues, dependencies, governance, and stakeholder communications across programs and workstreams.
Facilitate client workshops and working sessions to align priorities, define requirements, resolve issues, and drive decisions.
Help clients identify and prioritize opportunities for AI, automation, analytics, and intelligent workflows in healthcare processes and operations.
Support integration of AI-enabled capabilities into platforms, processes, and workflows with appropriate governance and controls.
Help clients establish AI-ready foundations through better data management, interoperability, governance, security, privacy, and data quality.
Apply responsible AI principles, including transparency, privacy, security, compliance, risk management, monitoring, and human oversight.
Support interoperability initiatives involving APIs, FHIR, HL7, EDI, secure data exchange, identity management, and healthcare integration patterns.
Collaborate with business, clinical, technology, data, cloud, security, engineering, and operational teams to deliver integrated solutions and measurable outcomes.
Contribute to business cases, value analyses, implementation strategies, operating models, and transformation roadmaps.
Support proposal development, solutioning, client presentations, and growth initiatives.
Apply modern engineering and delivery practices, including cloud platforms, DevSecOps, platform engineering, automation, Agile delivery, quality engineering, and AI-assisted delivery.
Mentor junior practitioners and contribute to knowledge sharing, innovation, and capability development across Accenture teams.