NOTE: Years of Experience: -3-5 professional experience -1-2 experience with AI (this could be traditional AI or generative AI); Top Three Skills: -Understanding of AI concepts including machine learning, generative AI. data science, model lifecycle. -Project Management extremely organized and able to juggle multiple moving pieces -Stakeholder communication ability to communicate with data scientists, engineer, and business leadership; Required Skills: -Understanding of AI technologies, specifically within Azure and Bedrock -Project or product management skills. -Strong analytical and problem-solving skills to address technical challenges and optimize AI models; Desired Skills: -Understanding of data scientist practices, ability to understand different methodologies to measure AI use cases -Data and ethics awareness. Ability to identify, assess, and mitigate risks associated with AI project -Familiarity with software development practices, version control, and deployment strategies; Ideal Candidate Profile: An ideal candidate for the AI Product Analyst should have a strong understanding in AI, project/product management, and proficiency in Agile methodologies. They must excel in communication and leadership, effectively managing cross-functional teams and engaging with business and risk stakeholders to ensure alignment and successful project delivery from experimentation to production. Additionally, the candidate should be adept at defining AI use cases, setting clear objectives, and establishing measurable success criteria to evaluate the impact and performance of AI solutions. Their ability to translate complex technical concepts into actionable business insights will be crucial in driving innovation and achieving strategic goals; Industry Experience: Financial or related industry; Tools or Technologies: Cloud platforms such as Azure and Bedrock. Other AI solutions; Educational Requirements: Bachelors; Work Schedule: Hybrid, 3 days in the office; Interview Process: 2 interviews (virtual)

Guide specific lines of business on how to experiment, integrate and measure AI use cases.

Collaborate closely with other product teams, lines of businesses, engineering, data governance, and data science teams to experiment and implement Generative AI and AI / Machine Learning solutions in production

Gather, document, and provide business requirements, system requirement specification reviews, analytics requirements, and user acceptance testing for projects and releases that impact the digital channels

Continuously assess market needs, adapting the product strategy to capitalize new opportunities and address evolving challenges in the AI space

Support the overall product lifecycle launch and ongoing improvements. Monitor Key Performance Indicators user feedback.

Identify potential risks and mitigations throughout the product development

Ability to break a large, complex and ambiguous problem into small well defined use cases and roadmap them. Define appropriate and measurable KPIs for a use case for estimating and measuring business impact

Experience supporting business units to develop AI Strategies for product

Flexible attitude, ability to perform under pressure, ability to achieve balance between the right technical and business solution, ability to translate complex technical information into simple terms, commitment to quality, thorough approach, and pride in what we deliver

Passion for creating leading edge solutions to complex business problems, appetite for career advancement through expanded responsibility, desire to learn new things and work on different teams, interest in solving the puzzle (intellectual curiosity), objective thinking and perspective (courage of our convictions)

Consulting experience preferred within project or product management