2 Ai Platforms Jobs

Role Description: The Sr. Associate Digital Product Analyst (AI) position offers a unique opportunity within the AI & Data Science organization. Youll work on next-generation capabilities and services in AI products and platforms using cutting-edge software, frameworks, tools, and cloud computing services. As a Product Analyst, you will support the product manager to craft the customer experience for enterprise AI solutions by analyzing customer behaviors across the entire journey. In addition, you will play a key role in the Go-to-Market (GTM) strategy, ensuring seamless product launches, aligning messaging with customer needs. Acting as the Voice of the Customer, you will collaborate internally with Product Management, Product Engineering, and the GTM teams to drive product adoption and deliver optimal outcomes ROLES & RESPONSIBILITIES Customer Insights & Experience: Develop a deep understanding of AI products, mapping customer journeys and creating detailed personas to improve user experiences. Engage directly with customers at key touchpoints, gaining insights into their interactions with Enterprise AI products & platforms. Build and foster an active user community, facilitating knowledge-sharing and enhancing the adoption of AI products. Go-to-Market (GTM) Strategy: Collaborate with Product Management to execute comprehensive GTM strategies for AI products. Align GTM messaging and product positioning with customer needs, ensuring that the product's value proposition resonates across target markets. Support the launch of new products and features, working closely with cross-functional teams to ensure GTM plans are well-executed and drive product adoption. Gather feedback from users and stakeholders to refine GTM efforts and improve future product launches Support & Advocacy: Provide Last Mile Support and Solutions on Demand for AI products, ensuring prompt resolution of customer challenges and delivering a seamless user experience. Assist in customer onboarding and training, ensuring users fully understand how to leverage the platforms AI capabilities. Identify and develop brand ambassadors within the customer base to advocate for the products unique benefits. Product Performance & Data Analysis: Monitor and analyze product performance metrics using advanced analytics to gain insights into customer behavior and product usage. Work closely with engineering, product management, and other teams to ensure the successful execution of product goals, focusing on data, analytics, and AI-driven innovations. Use data and analytics to drive improvements and recommend strategies for optimizing product features and the overall customer experience. Must-Have Skills: 2-5 years of experience in a product analyst role, especially with data and AI products, and a focus on GTM execution. Strong skills in Excel and hands-on experience with Agile methodologies (Scrum/SAFe). Excellent communication and interpersonal skills, with the ability to work collaboratively with cross-functional GTM, product, and engineering teams. Good-to-Have Skills: Familiarity with cloud, data and AI platforms and technologies Ability to work effectively across matrixed organizations and lead collaboration between teams and customers. Passion for technology and customer success, particularly in driving innovative AI solutions. Experience in services or consulting related to data and AI products is a plus, and familiarity with biotech/pharma is beneficial. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Education and Certification Masters degree and 4 to 7 years of Information Systems experience, OR Bachelors degree and 5 to 8 years of Information Systems experience

Overview We are seeking an experienced Cloud Delivery engineer to work horizontally across our organization, collaborating with Cloud Engineering, Cloud Operations, and cross-platform teams. This role is crucial in ensuring that cloud resources are delivered according to established standards, with a focus on both Azure and AWS platforms. The Cloud Delivery engineer will be responsible for delivery of Data and AI platforms. Responsibilities Collaborate closely with Cloud Engineering, Cloud Operations, and cross-platform teams to ensure seamless delivery of cloud resources on both Azure and AWS. Gather and analyze requirements from various teams, translating them into actionable cloud delivery plans. Provision the cloud resources, ensuring they adhere to approved architectures and organizational standards on both Azure and AWS. Develop and maintain delivery processes and methodologies for multi-cloud deployments, with a focus on Data and AI platforms. Coordinate with project managers and business stakeholders to align cloud deliveries with project timelines and business objectives. Implement and maintain quality assurance processes for cloud deliveries across platforms. Stay up-to-date with the latest Azure and AWS services, features, and best practices, particularly in Data and AI, and incorporate them into delivery strategies. Identify and mitigate risks associated with cloud deployments and resource management in multi-cloud environments. Create and maintain documentation for cloud delivery processes, standards, and best practices across platforms. Collaborate with security teams to ensure cloud resources are deployed with appropriate security controls and comply with organizational policies in both Azure and AWS. Participate in capacity planning and cost optimization initiatives for multi-cloud resources. Facilitate knowledge sharing sessions and training programs to enhance the team's expertise in Azure, AWS, and Data and AI technologies. Establish and track key performance indicators (KPIs) for cloud delivery efficiency and quality across platforms. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred. 8+ years of experience in IT, with at least 4 years focused on cloud technologies, including substantial experience with both Azure and AWS. Strong understanding of Azure and AWS services, architectures, and best practices, particularly in Data and AI platforms. Certifications in both Azure (e.g., Azure Solutions Architect Expert) and AWS (e.g., AWS Certified Solutions Architect - Professional). Experience in working with multiple teams cloud platforms. Demonstrated ability to work horizontally across different teams and platforms. Strong knowledge of cloud security principles and compliance requirements in multi-cloud environments. working experience of DevOps practices and tools applicable to both Azure and AWS. Experience with infrastructure as code (e.g., ARM templates, CloudFormation, Terraform). Proficiency in scripting languages (e.g., PowerShell, Bash, Python). Solid understanding of networking concepts and their implementation in Azure and AWS.