Senior Manager-Data & AI-Healthcare at Accenture

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Life SciencesIndustries

Requirements

Minimum 5 years implementing data exchange/interoperability solutions in healthcare or life sciences, ideally in cloud environments (e.g., Azure, AWS, GCP)
Minimum 5 years in solution or enterprise architecture roles, with the ability to design conceptual, logical, and physical architectures
Minimum 1–2 years of experience designing or integrating AI/ML tools or capabilities into technical solutions, such as architecting systems that incorporate AI services or models (e.g., for clinical NLP, image analysis, or predictive analytics), designing end-to-end data pipelines that support AI/ML use cases in healthcare or life sciences, selecting appropriate AI platforms/services/tools (e.g., Azure AI, AWS SageMaker, Vertex AI), or collaborating with data scientists/ML engineers/research teams to ensure AI solutions are scalable, compliant, and interoperable
Experience with clinical data models as well as data exchange standards and frameworks (e.g., HL7 FHIR, v2, CDA, IHE, etc.)
Client-facing experience in consulting or solution design settings, with the ability to translate business requirements into technical architecture
Proficiency in English, required for regular interactions with stakeholders across Canada, US, and other countries

Responsibilities

Lead and support consulting engagements that tackle complex interoperability and AI challenges in healthcare and life sciences
Provide hands-on architectural leadership and act as a bridge between business and technology, helping clients translate goals into solution architectures and roadmaps
Architect and prototype data exchange and interoperability solutions, with an emphasis on scalability in cloud environments (e.g., Azure, AWS, GCP)
Collaborate on the design and implementation of AI-powered solutions, using emerging tools and platforms (e.g., LLMs, automated coding assistants, AI APIs)
Lead small teams to develop innovative solutions for clients across functions and industries
Stay abreast of data-exchange/interoperability and AI technologies, academic research, and hands-on techniques
Coach up-and-coming leaders, develop their careers, and guide diverse multi-disciplinary workforces on solving client data challenges
Apply deep delivery acumen for data-driven engagements, architect value, leverage operating model architecture skills to influence client agendas, and usher in data-driven reinvention and data governance culture
Partner with clients to make bold decisions on priority C-Suite issues at the intersection of business, technology, and operations within a complex data management landscape

Skills

Data Analytics

Machine Learning

Data Governance

Solution Architecture

Consulting

Healthcare Interoperability

Operating Models

Business Insight

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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