Product Analyst, Digital Transformation - Remote US

Sarah Cannon Research Institute•Usa, TX

1d•Remote

About The Position

The Product Analyst – Digital Transformation advances Sarah Cannon Research Institute’s digital strategy by translating business needs into practical technology solutions. Serving as a bridge between business and IT teams, the role supports process improvement, data integrity, and AI-enabled transformation within SCRI Development Innovations. It emphasizes hands-on delivery, rapid experimentation, and measurable business outcomes. This is a remote position based in the United States; relocation assistance and visa sponsorship are not available.

Requirements

3–5+ years of product or business analysis experience in digital transformation environments.
Experience supporting healthcare or life sciences technology or product initiatives.
Demonstrated success driving technology adoption and identifying high-value AI or automation opportunities.
Hands-on experience developing or piloting low/no-code, AI-enabled, or other proof-of-concept solutions.
Strong analytical skills and experience communicating progress, ROI, and outcomes to leadership.
Knowledge of Agile, SDLC, data governance, interoperability, and regulatory requirements within clinical research.
Strong problem-solving, communication, requirements, and stakeholder management skills.
Ability to translate digital and AI strategy into executable solutions and measurable results.
Ability to collaborate with leaders, product owners, business stakeholders, and delivery teams; rapidly prototype, test, and iterate based on user and system feedback; and manage competing priorities in a fast-paced environment.
Commitment to continuous learning, quality, and SCRI’s mission.

Nice To Haves

Familiarity with AI agents, automation tools, APIs, coding concepts, and cloud platforms such as AWS and Azure.
Experience with research technologies such as Veeva, Medidata, or Oracle.
Proficiency with Microsoft Copilot and tools such as Jira, Confluence, Planview, or Smartsheet.
Ability to build and evaluate AI-enabled or low/no-code proofs of concept and assess business value and ROI.

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, user adoption, and reusable digital and AI solutions.