Enterprise Imaging Architect SME Senior Manager
About the job
- A bachelor's degree in Radiologic Sciences, Radiologic Technology, Cardiovascular Technology, Health Information Management, Healthcare Administration, Biomedical Informatics, Biomedical Engineering, Information Technology, or a related field.
- At least 10 years of experience supporting radiology operations, teleradiology services, enterprise imaging environments, or imaging informatics.
- Demonstrated experience with PACS/RIS administration or operational support, imaging interoperability, clinical imaging workflows, and healthcare workflow analysis.
- 7–10+ years of experience in imaging informatics, including enterprise PACS administration, design, implementation, optimization, or migration.
- Experience designing and implementing PACS, VNA, diagnostic viewers, workflow engines, routing systems, disaster recovery, and long-term archiving.
- Expert-level knowledge of DICOM, including query/retrieve, storage, MWL, MPPS, structured reporting, DICOMweb, routing, troubleshooting, metadata reconciliation, and lifecycle management.
- Experience integrating imaging platforms with EHR/RIS ecosystems such as Oracle Health/Cerner Millennium and VistA Imaging across radiology, cardiology, pathology, ophthalmology, wound care, and other specialties.
- Experience with VNA/content migration, including data inventory, retention policies, normalization, reconciliation, validation, cutover, rollback, and decommissioning.
- Knowledge of imaging infrastructure, including Windows/Linux, networking, DNS, certificates/TLS, load balancing, VMs/containers, storage tiers, high availability, capacity planning, and performance monitoring.
- Ability to develop requirements, architecture diagrams, interface specifications, test plans, runbooks, configuration management artifacts, and evaluation criteria.
- Federal healthcare experience in DoD, DHA, MHS, VA, or similar environments, ideally with distributed multi-facility systems.
- Familiarity with federal security and privacy requirements, including RMF, NIST 800-53, FISMA, HIPAA, the Privacy Act, ATO processes, and vulnerability remediation.
- Eligibility for Public Trust; Secret clearance only if required.
- Collaborate with capture and proposal teams to prepare for targeted solicitations.
- Support clinical and technical components of pre-solicitation and solicitation development.
- Coordinate and support teaming/partner engagement and review cycles.
- Contribute to proposal development, including content writing and color-team reviews.
- Evaluate current-state radiology, cardiology, and teleradiology infrastructure and operations.
- Review and interpret data to develop actionable recommendations for program deliverables.
- Assess routine clinical workflows, staffing utilization, workload distribution, modality mix, TAT performance, and operational dependencies.
- Recommend improvements to operational effectiveness, scalability, workflow efficiency, and sustainability.
- Assess enterprise imaging operations and technical support structures, including PACS, RIS, voice recognition systems, enterprise imaging platforms, AI-enabled workflows, and interoperability and workflow integrations.
- Evaluate enterprise imaging staffing models and technical support frameworks.
- Assess workflow dependencies involving Oracle Health Millennium, VistA, DICOM routing, CVIX workflows, MPI/patient identity resolution, HL7/FHIR interfaces, and imaging data integrity and continuity.
- Recommend future-state enterprise imaging modernization opportunities and operational enhancements.
- Conduct workflow mapping and process analysis across clinical, radiology, cardiology, and technical operations.
- Identify bottlenecks, inefficiencies, workflow variation, and technical constraints.
- Support development of demand-capacity models and performance thresholds.
- Provide recommendations to enhance throughput, responsiveness, workflow standardization, and enterprise imaging scalability.
- Conduct organizational change management reviews and support organizational change management planning.
- Assess enterprise clinical quality management functions, including peer review workflows, OPPE/FPPE processes, management reviews, safety lookback activities, and quality governance structures.
- Evaluate operational impacts of quality oversight workflows on staffing and radiology operations.
- Collaborate with quality management stakeholders to support future-state improvements.
- Knowledge of VistA/Enterprise Imaging and DoD clinical imaging systems.
- Experience with federal healthcare environments, national teleradiology programs, enterprise imaging modernization, or multi-site healthcare systems.
- Experience evaluating AI-enabled imaging workflows, imaging analytics, and clinical quality management functions.
- Professional certifications such as CIIP, PMP, Lean Six Sigma, ITIL, or equivalent.
About the company
Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.
Company Size
10,001+
Company Stage
IPO
Headquarters
Dublin, Ireland
Founded
1989
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Simplify's Take
What believers are saying
- Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
- Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
- Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.
What critics are saying
- Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
- Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
- Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.
What makes Accenture unique
- Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
- Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
- Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.
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Benefits
Health Insurance
Professional Development Budget
401(k) Retirement Plan
401(k) Company Match
Company News
Accenture (NYSE: ACN) is betting on enterprise AI as its main growth engine. At its Investor and Analyst Day, the company targeted at least mid-single-digit constant-currency revenue growth in fiscal 2027 and 2028, rising to mid- to high-single-digit growth from fiscal 2029. Chief executive officer Julie Sweet said AI will create new demand that exceeds work lost to automation. The company has grown its AI and data workforce from 40,000 to nearly 110,000. Accenture plans to return $9.5 billion to shareholders in fiscal 2027 and spend about $5 billion on acquisitions. It expects annual operating-margin growth of 10 to 30 basis points. Its network of specialised businesses, now 6% of revenue, could double by fiscal 2029. Fiscal 2026 revenue was $74.2 billion, up 5% in local currency.
Accenture shares rose 10.4% after the company reported higher sales and earnings for its fourth quarter and full year in early October 2026. It confirmed fiscal 2027 guidance, raised its quarterly dividend to $1.71 per share, and completed a long-running share repurchase program. The company also expanded its AI alliances with Dell and Workday and acquired Sagacity. It aims to embed agentic AI into client functions such as HR, finance, and customer engagement. Accenture's narrative projects $86.3 billion in revenue and $10.3 billion in earnings by 2029, up from $8.4 billion today. Pricing pressure and slower discretionary spending remain the main risks.
Accenture will hold an Investor Day on October 14, where it is expected to detail its long-term strategy, AI monetisation plans, growth guidance, and margin expansion goals. The event follows a rebound in its shares after fears that AI would erode traditional consulting work. The stock hit a low of $118.15 in June, down from a January high of $291.09. It has since gained nearly 77%, helped by fourth-quarter results on October 1 and an expanded collaboration with Dell Technologies. Fourth-quarter revenue rose 6% to $18.7 billion, and new bookings reached $22.2 billion. Accenture expects fiscal 2027 revenue growth of 3% to 6% in local currency. It raised its quarterly dividend by 5% to $1.71 per share, payable November 13, 2026. Its market capitalisation is about $139.6 billion.
Accenture has acquired Sagacity, a London-based data and customer intelligence firm, to strengthen Accenture Song's AI-powered customer services. The deal brings more than 140 professionals to Accenture Song's UK and Ireland operations. Terms were not disclosed. Founded in 2005 by Anita Dougall, Malka Townshend, and Harry Dougall, Sagacity offers data assets, AI-enabled technology, and customer intelligence expertise. Accenture says clients want to connect data, AI, and operations into unified programmes that deliver measurable results. The move targets industries with large customer bases, such as utilities, retail, banking, and telecommunications. "Sagacity's deep expertise and outcome-focused approach will enhance our ability to help clients turn insight into action," said Sohel Aziz, senior managing director of Accenture Song, UK and Ireland.
TM Forum has launched a multi-year Trustworthy AI programme with Accenture to help telecoms deploy autonomous operations with verifiable trust standards. The initiative will deliver the industry's first Trustworthy AI Governance Certification, providing a benchmark for trusted AI deployment. Recent TM Forum research found that whilst 72% of communications service providers believe their AI capabilities are trustworthy, only 14% can verify their claims. The programme aims to transform AI trust from aspiration into measurable operational capability. The certification will help organisations assess governance maturity, workforce readiness, and operational accountability needed to scale AI autonomously. It will operate through TM Forum's AI-Native Collaboration Studios, where telecoms operators, vendors, and partners will contribute real-world use cases to shape the framework.