Job Description

We Are:

Accenture Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists and experts in machine learning and AI. A great day for us : Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything--spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Read on to learn more about this role and who we are looking for.

You Are:

A thought leader and an expert in the field of Data & Analytics, who can connect and advise senior clients leveraging your storytelling skills and strong data driven mindset. As a Data & AI leader, you will coach our up-and-coming leaders and help develop their careers, in addition to guiding our diverse multi-disciplinary workforces, on a day-to-day basis on solving our client's data challenges.


As a Data &AI Senior Manager-Healthcare, you will apply deep delivery acumen for data driven engagements, architecting value, and leverage operating model architecture skills to influence client agendas through business insight to usher in data driven reinvention and make data governance a part of their organization culture. You will partner with our clients to make bold decisions on priority C-Suite issues at the intersection of business, technology, and operations within a complex data management landscape, in keeping with client industry and global economic, technology and social trends.

What you'll be doing:

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 & industries Stay abreast of data-exchange/interoperability and AI technologies, academic research & hands-on techniques.

Basic Qualifications:

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, or tools (e.g., Azure AI, AWS SageMaker, Vertex AI) as part of broader solution architecture Collaborating with data scientists, ML engineers, or 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.

English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.


Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.


Information on benefits is here.


Role Location Annual Salary Range


British Columbia $119,700 to $278,100


#LI-NA FY25