Product Analyst, Digital Transformation
S
Sarah Cannon Research InstituteClinical research technology
This is a remote position based in the USFull-TimeMiddle
SalaryIn addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
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Job Details
- Experience
- 3–5+ years of product or business analysis experience in digital transformation environments.
- Required Skills
- AWSAgileBusiness AnalysisProduct AnalyticsAzureRESTful APIs
Requirements
- Have 3–5+ years of product or business analysis experience in digital transformation environments.
- Have experience supporting healthcare or life sciences technology or product initiatives.
- Demonstrate success driving technology adoption and identifying high-value AI or automation opportunities.
- Have hands-on experience developing or piloting low/no-code, AI-enabled, or other proof-of-concept solutions.
- Bring strong analytical skills and experience communicating progress, ROI, and outcomes to leadership.
- Know Agile, SDLC, data governance, interoperability, and regulatory requirements within clinical research.
- Be familiar with AI agents, automation tools, APIs, coding concepts, and cloud platforms such as AWS and Azure.
- Have experience with research technologies such as Veeva, Medidata, or Oracle.
- Be proficient with Microsoft Copilot and tools such as Jira, Confluence, Planview, or Smartsheet.
- Translate digital and AI strategy into executable solutions and measurable results.
Responsibilities
- Partner with business and IT teams to define requirements and lead initiatives from problem discovery through pilot delivery.
- Identify AI and automation opportunities and develop, test, and refine prototypes and solutions.
- Translate business needs into user stories, workflows, and specifications.
- Support backlog refinement, release planning, and user acceptance testing.
- Ensure solutions align with data, integration, 21 CFR Part 11, and responsible AI requirements.
- Support change management, documentation, and user adoption.
- Develop reusable digital and AI solutions.
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