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The AI Analytics & Enablement - Vice President role is focused on overseeing, analyzing, monitoring, and enabling the effective use and continuous improvement of AI capabilities integrated with Internal Audit's applications. Responsibilities cover analytics, training development, optimization of AI tools, and promoting a culture of AI literacy within the organization.
Job Responsibility:
Perform in-depth analytics on AI/ML usage to understand trends, patterns, and pain points, implementing a sustainable feedback loop to ensure positive, continually improving user experiences and tool optimization
Monitor and analyze the performance and impact of deployed AI/ML tools within the integrated audit systems, identifying areas for enhancement to continuously increase adoption
Design, develop, and deliver comprehensive training programs, workshops, and user documentation for Internal Audit personnel on the effective and ethical use of AI tools and capabilities
Prepare and present executive-level status decks and reports on AI tool utilization, performance metrics, training effectiveness, and strategic insights to senior leadership
Translate complex AI concepts and analytical findings into clear, actionable insights for non-technical stakeholders
Continuously gather and synthesize feedback from Internal Audit users to inform continuous improvement of AI tools, training content, and user support mechanisms
Assess current AI/ML capabilities and chart a path for continuous improvement of their value and impact based on usage data and user feedback
Help shape the direction of machine learning and artificial intelligence capabilities in DSI by providing data-driven insights on user needs and adoption challenges
Support the preparation of model risk management (MRM) documentation related to AI tool performance and accuracy
Apply strong project management skills to develop and execute plans for analytics initiatives, reporting cycles, and training rollouts.
Requirements:
8+ years' experience in AI/ML analytics, performance monitoring, and enabling user adoption, preferably within a financial services or audit context
Extensive experience in analytics, reporting, and visualization for the analysis and presentation of results in Tableau or similar
Cognos Analytics experience is a plus
Strong understanding of AI/ML use cases, with experience in analyzing and reporting on their effectiveness and user engagement
Extensive experience with data extraction and transformation, including testing and using APIs
Solid understanding of data structures and data models for effective data analysis and reporting
Understanding of conversational AI concepts, including intents, entities, dialogs, actions, journeys, and experiences, to analyze chatbot performance and user interactions
Understanding of application usability and user experience (UI/UX) to inform effective training and adoption strategies
Proven ability to develop and deliver effective training programs and materials to diverse audiences
Demonstrable experience working with stakeholders and exceeding their expectations in communication and delivery
Innovative, forward-looking mindset to continually reach for new horizons in AI capabilities
Takes responsibility and accountability for planning, execution, and delivery of analytics and training initiatives
Adept at developing new ideas and improving current processes related to AI analytics, usage monitoring, and training
Proficiency in data visualization and business intelligence tools such as Tableau, IBM Cognos, Power BI, MicroStrategy, or similar
Advanced level Python coding for data analysis and ETL process automation
Advanced SQL for data querying and extraction
Analytics experience over AI, machine learning, NLP, NLU, LLMs, generative AI or similar
Strong orientation for UI/UX design
SaaS environments and cloud computing knowledge is preferable
Agile and waterfall project management methodologies
Experience with JIRA is a plus
Familiarity with the Financial Services industry and/or auditing practices is a plus.
Nice to have:
Cognos Analytics experience
Experience developing Figma mock-ups
Knowledge of Financial Services industry and/or auditing practices
SaaS environments and cloud computing knowledge
Agile and waterfall project management methodologies
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