AI Systems Analyst
ShiftCode Analytics
AI Systems Analyst
The AI Systems Analyst serves as a subject matter expert in AI solutions, providing guidance to leadership and cross-functional teams. This role focuses on advising on best practices, supporting architecture creation, ensuring compliance, and optimizing AI capabilities. The AI Systems Analyst is responsible for fostering a culture of trust and responsible AI usage. This is a fast-paced, multi-priority environment where team members face new challenges daily.
Responsibilities:
- Guide the full lifecycle of AI initiatives, from strategy to evaluation, ensuring alignment with business goals.
- Maintain an accurate inventory of AI tools and platforms, advising on their effective use.
- Support AI data systems administration, ensuring data accuracy and compliance.
- Collaborate with leaders to support scalable AI architecture design and implementation.
- Ensure regulatory compliance and proactively mitigate potential AI risks.
- Analyze KPIs for AI initiatives and provide strategic recommendations.
- Collaborate with IT, data science, cybersecurity, and business teams to align AI strategies and integrate initiatives into digital transformation efforts.
- Advise leadership on best practices and provide technical support for AI-related architecture.
- Prepare reports on AI project status, including risk assessments and compliance metrics.
- Advocate for ethical AI practices and foster trust through transparency and stakeholder engagement.
- Assist in establishing AI governance processes and support policy creation.
- Review and update on policies to integrate AI considerations, ensuring alignment with regulatory compliance and organizational objectives.
- Respond to AI-related information requests and support special projects.
- Perform other duties as needed to support departmental goals.
Knowledge, Skills, Abilities, and Other Characteristics:
- Clear communication skills to translate complex AI concepts into business-friendly language and support decision-making.
- Strong collaboration and influence across teams, fostering a supportive environment.
- Ability to analyze data, identify trends, and provide actionable insights for AI projects.
- Ensures data accuracy, compliance, and reliable AI system processes.
- Responds effectively to changing priorities and technological shifts.
- Commitment to responsible AI practices and fairness.
- Quickly learns and applies advanced digital tools for AI analysis and implementation.
- Aligns AI strategies with business objectives and drives value.
- Proactively stays updated on AI advancements and seeks growth opportunities.
- Identifies and mitigates potential AI risks.
- Works effectively with cross-functional teams to advance AI projects.
- Encourages innovative solutions and uses data to inform improvements.
- Promotes a culture of transparency and alignment with organizational values.
- Provides expertise in best practices and supports AI architecture design.
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