▷ [Only 24h Left] Product Analyst - Ai/ml Platform

Company DescriptionVisa is a world leader in payments and technology with over 259 billion payments transactions flowing safely between consumers merchants financial institutions and government entities in more than 200 countries and territories each year Our mission is to connect the world through the most innovative convenient reliable and secure payments network enabling individuals businesses and economies to thrive while driven by a common purpose - to uplift everyone everywhere by being the best way to pay and be paid Make an impact with a purpose-driven industry leader Join us today and experience Life at Visa JOB DESCRIPTIONGlobal Data Platforms Organization is focused on delivering differentiated data product offerings which provide tremendous value to our clients leveraging cutting-edge capabilities such as Artificial Intelligence AI At Visa we are looking for a highly motivated Product Manager - AI ML Platform to join our team As a global leader in payments technology Visa has been a pioneer in leveraging Artificial Intelligence AI technologies successfully in our products and services in the last few decades In this role you will be responsible for shaping implementing and enhancing core AI ML capabilities to enhance and elevate data science experience and power Visa s flagship AI products If you come from a consulting product and or data science background and are looking to join a start-up culture have the opportunity to take a product from ideation all the way through to a live service work with the best-in-field ML experts on contemporary AI methods we would love to hear from you Join us in shaping the next generation of AI products and platforms at Visa This role will be an individual contributor to the global strategic roadmap specifically around creating a state-of-the-art AI platform by working with cross functional teams such as regional product sales consulting operations technology risk and analytics This position may require occasional travel to client sites and Visa locations As a Product Analyst in the AI ML platform product team you will work closely with technology data science cross-functional products and regional teams to prioritize solve develop and implement industry leading AI ML platform solutions and power key flagship Visa products Essential FunctionsComprehensive Product Requirements Define thorough and precise product requirements that meet client and market needs and align with other Visa products and solutions Tech Team Collaboration Support product leads during collaborations with the technology team to implement AI ML capabilities and technologies that drive the delivery of high-profile core Visa AI products Platform Strategy Roadmap Development Identify market trends and competitive landscape to support product roadmap development Provide input to the platform roadmap product positioning market differentiation and value proposition to resonate with key audiences and markets Grooming Sessions Contribution Gain an in-depth understanding of product and model requirements in collaboration with cross-functional product data science and technology teams AI Design and Technology Discussions Support with setting the acceptance criteria for requirements engage in and lead AI design and technology discussions Platform Success Metrics Contribute to and monitor key platform success metrics service level agreements and operational targets Non-Technical and Functional Elements Contribution Support with non-technical and functional elements critical to product success such as model risk management model onboarding experience and ensure the technical development of the platform meets quality standards and timelines Prototyping and Business Case Development Brainstorm create prototypes and collaborate with AI ML teams to build business cases Cross-Functional Teams Collaboration Work closely with cross-functional teams to finalize requirements and establish a clear path to delivery for various use cases Adaptability in AI ML Landscape Stay adaptable in the fast-paced AI ML landscape influencing the development of platform capabilities accordingly User Needs Understanding Comprehend the AI ML landscape and user pain points to translate them into clear user stories and convert them into an efficient reliable platform for building testing and deploying AI models New Product Development Product contribution and launch of new products and experiences at the intersection of payments and technology in the AI space Flawless Execution Coordinate with other business units product leaders and engineering teams to ensure flawless execution Customer Experience Vision Develop and promote a vision for an excellent customer experience powered by advanced AI technologies Primary ResponsibilitiesRequirements Gathering Work closely with data scientists engineers and other stakeholders to understand their needs and translate them into product requirements Product Requirements Develop product requirements based on the product partners needs This includes working closely with the engineering team to ensure the product is built to specification and meets the needs of our users Team Collaboration Have a can-do mindset to collaborate and work with a cross-functional team of product managers designers and engineers Eager to learn and follow a culture of innovation excellence and accountability Stakeholder Communication Regularly communicate with stakeholders across the organization to keep them informed of several initiatives progress and to gather their input User Advocacy Advocate for the needs of our users data scientists throughout the product development process Ensure the final product meets their needs and enhances their ability to build test and deploy AI models Market Analysis Stay up to date with the latest industry trends advancements in AI ML and emerging technologies Use this knowledge to keep our product competitive drive innovation and new product development Product Vision and Strategy Contribute to and work with product leads on the vision and strategy for supporting partners portfolios and for developing applications for AI ML platform Define roadmaps ensuring they align with the AI ML platform s and company s overall goals This is a hybrid position Hybrid employees can alternate time between both remote and office Employees in hybrid roles are expected to work from the office 2-3 set days a week determined by leadership site with a general guidepost of being in the office 50 or more of the time based on business needs QualificationsBasic Qualifications - 5 or more years of work experience with a bachelor s degree or an advanced Degree e g Masters MBA JD MD or PhD - Strong understanding of AI and Machine Learning concepts with an emphasis on AI models on batch and real-time environment - Data science deep learning models and exposure to big data and broader AI ML tools platforms and technologies - Proficiency with software development methodologies such as Agile and experience working with Scrum teams and matrix organizations - Excellent interpersonal skills with demonstrated ability to interface across levels regions cultures and languages and engage successfully with both specialist teams and broader business partners - Strong ability to consume complex data and information develop insights and create impactful stories - Prior experience working within an agile product development environment - Advanced proficiency in the use of MS Office tools Word Excel PowerPoint Project and SharePoint Preferred Qualifications - 5 or more years of relevant work experience with a bachelor s degree or at least 2 years of work experience with an advanced degree e g Masters MBA JD MD or a PhD - Modeling experience in card industry or financial service company for fraud credit risk payments is a plus - Experience in designing and taking products to market that use complex modelling techniques inc AI ML - Experience in management and requirement provision for remote data science teams focused on AI ML - Passion for innovating and delivering truly differentiated products user experiences - An emphasis in product management and eagerness to learn and manage new product releases being part of a matrix organization in a highly technical and evolving AI ML space - Knowledge of machine learning or data processing algorithms for risk and fraud applications - Experience in financial services and payments desired but not required - Experience partnering with technologists using agile or other expedited design and development methodologies - Working knowledge of agile tools such as Confluence Wiki Tableau and JIRA is strongly preferred Additional InformationVisa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law