Job Description:
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:
- Communication: Clear communication skills to translate complex AI concepts into business-friendly language and support decision-making.
- Interpersonal Skills: Strong collaboration and influence across teams fostering a supportive environment.
- Analytical Abilities: Ability to analyze data identify trends and provide actionable insights for AI projects.
- Attention to Detail: Ensures data accuracy compliance and reliable AI system processes.
- Adaptability: Responds effectively to changing priorities and technological shifts.
- Ethical Judgment: Commitment to responsible AI practices and fairness.
- Digital Dexterity: Quickly learns and applies advanced digital tools for AI analysis and implementation.
- Business Acumen: Aligns AI strategies with business objectives and drives value.
- Continuous Learning: Proactively stays updated on AI advancements and seeks growth opportunities.
- Proactive Risk Management: Identifies and mitigates potential AI risks.
- Team Collaboration: Works effectively with cross-functional teams to advance AI projects.
- Creativity: Encourages innovative solutions and uses data to inform improvements.
- Integrity: Promotes a culture of transparency and alignment with organizational values.
- Architectural Support: Provides expertise in best practices and supports AI architecture design.