AI Enabled Analytics Analyst
About The Position
Partners with Technology Quality leaders and SMEs to define the AI roadmap, maintaining a prioritized use-case catalog, and aligning initiatives to business goals. Translates business needs into structured use cases with objectives, success metrics, data requirements, risks, controls, and proposed models/techniques. Maintains an AI/Agent Inventory including control over Intended Use. Creates lightweight prototypes (scripts, dashboards, prompt experiments) to validate solution hypotheses and value case. Design and implement AI solutions for CSV processes enabling decision support, and workflow automation. Collaborate with data Science, engineering, and other technology teams to define data pipelines, model evaluation criteria, acceptance tests, and integration requirements. Translate business processes into product requirements, user stories, and acceptance criteria for data scientists, ML engineers, and product teams. Compare performance across prompt versions, workflow revisions, tools, and models; surface evidence for release decisions and regression/improvement. Establish benchmark scenarios and scoring rubrics to evaluate AI outputs, agent behaviors, and workflows in real business contexts. Assess outputs for groundedness, instruction adherence, consistency, usefulness, tone, control compliance, and risk; identify hallucinations, unsupported assertions, missing logic, and unsafe recommendations. Prepare test scripts, coordinate UAT, document outcomes, and support validation and release documentation. Define prompt design strategies, guardrails, and explainability requirements; implement human-in-the-loop controls and risk mitigation strategies. Ensure all AI use cases align with J&J Responsible AI ,GenAI and Q&C usage guidelines Partner with SMEs to monitor ethical, privacy, and regulatory considerations for each use case (e.g., 21 CFR Part 11, GxP, Annex
Requirements
- Oral Communications
- Solution-Oriented
- Written Communication
Nice To Haves
- Coaching
- Communication
- Compliance Management
- Continuous Improvement
- Controls Compliance
- Digital Assurance
- Econometric Models
- Issue Escalation
- Performance Measurement
- Problem Solving
- Process Optimization
- Quality Control (QC)
- Quality Management Systems (QMS)
- Quality Standards
- Regulatory Compliance
- Standard Operating Procedure (SOP)
- Technologically Savvy
Responsibilities
- Define the AI roadmap, maintaining a prioritized use-case catalog, and aligning initiatives to business goals.
- Translate business needs into structured use cases with objectives, success metrics, data requirements, risks, controls, and proposed models/techniques.
- Maintain an AI/Agent Inventory including control over Intended Use.
- Create lightweight prototypes (scripts, dashboards, prompt experiments) to validate solution hypotheses and value case.
- Design and implement AI solutions for CSV processes enabling decision support, and workflow automation.
- Collaborate with data Science, engineering, and other technology teams to define data pipelines, model evaluation criteria, acceptance tests, and integration requirements.
- Translate business processes into product requirements, user stories, and acceptance criteria for data scientists, ML engineers, and product teams.
- Compare performance across prompt versions, workflow revisions, tools, and models; surface evidence for release decisions and regression/improvement.
- Establish benchmark scenarios and scoring rubrics to evaluate AI outputs, agent behaviors, and workflows in real business contexts.
- Assess outputs for groundedness, instruction adherence, consistency, usefulness, tone, control compliance, and risk; identify hallucinations, unsupported assertions, missing logic, and unsafe recommendations.
- Prepare test scripts, coordinate UAT, document outcomes, and support validation and release documentation.
- Define prompt design strategies, guardrails, and explainability requirements; implement human-in-the-loop controls and risk mitigation strategies.
- Ensure all AI use cases align with J&J Responsible AI ,GenAI and Q&C usage guidelines
- Partner with SMEs to monitor ethical, privacy, and regulatory considerations for each use case (e.g., 21 CFR Part 11, GxP, Annex
Benefits
- Consolidated retirement plan (pension)
- Savings plan (401(k))
- Long-term incentive program
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52-week rolling period
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
