Product Analyst II

This is a fully remote position, open to applicants in Tennessee.

📋 Description

• Collaborate with business and IT teams to collect, document, and prioritize requirements.

• Take ownership of the entire problem discovery process through pilot delivery for designated initiatives.

• Engage in cross-functional workshops to uncover AI-enabled use cases.

• Develop, configure, test, and enhance AI solution prototypes with hands-on experience.

• Convert strategic goals into user stories, workflows, and specifications for process improvement.

• Assist in backlog refinement, release planning, and user acceptance testing.

• Ensure that solutions comply with enterprise data strategies, integration requirements, 21 CFR Part 11 guidelines, and responsible AI practices.

• Aid in change management, documentation, and user enablement to ensure sustainable adoption.

• Document reusable patterns, playbooks, and components related to AI/automation.

• Conduct proof-of-concepts using AI tools and evaluate ROI for product initiatives.

• Refine solutions based on real user and system feedback.

• Update leadership on progress and outcomes.

• Spot high-value AI opportunities and develop or pilot corresponding solutions.

• Create low/no-code or AI-enabled proof-of-concept solutions, prototypes, pilots, or MVPs.

⛳️ Requirements

• 3–5+ years of experience in product or business analysis within fast-paced digital transformation settings.

• Proven success in supporting product initiatives within the healthcare or life sciences sectors.

• Ability to quickly grasp new business domains and processes.

• Established record of fostering technology adoption and pinpointing high-value AI opportunities.

• Experience in directly building or piloting AI solutions.

• Strong analytical abilities with experience in reporting progress and outcomes to leadership.

• Background in creating low/no-code or AI-enabled proof-of-concept solutions.

• Familiarity with Agile methodologies, SDLC, and regulatory considerations in clinical research settings.

• Understanding of 21 CFR Part 11 regulations.

• Knowledge of data governance, interoperability standards, and digital adoption analytics.

• Acquainted with coding principles, AI agentic/automation tools, and APIs.

• Capability to independently configure and test solutions.

• Knowledge of AWS, Azure, Veeva, Medidata, Oracle, and contemporary research applications.

• Proficient in Microsoft Copilot, AI Agents, Jira, Confluence, Planview, and Smartsheet.

• Experience in process mining and workflow analysis.

• Advanced skills in analytics and problem-solving.

• Strong communication skills to translate business needs into technical specifications.

• Skills in requirements traceability and validation.

• Ability to collaborate effectively with leaders, product owners, and delivery teams.

• U.S.-based work authorization/location is required; relocation and visa sponsorship are not available.

🏝️ Benefits

• Comprehensive Total Rewards package supporting physical, mental, and financial well-being.

• Competitive compensation package.

• Potential annual bonus or long-term incentive opportunities.

• Opportunities for professional growth and development.

• Continuous skill enhancement.

• Inclusive environment with strong organizational values.

• Resources and opportunities to cultivate a fulfilling career.