Senior Product Owner

Partner with business application teams to understand their requirements for Generative AI Platform Capabilities Manage new features, bugs, technical debt and other streams of work required to build and maintain the platform, and achieve consensus amongst multiple stakeholder groups on platform priorities Proactively manage stakeholder customers Build roadmaps for delivery in conjunction with the engineering team for external and internal communication of platform vision, priorities, and committed deliverables Have a platform mindset and drive common, reusable solutions to scale Generative AI use cases Contribute to major design decisions and product selection (build vs buy, 3rd party Vendor vs Open Source etc.) for building Generative AI platforms and solutions Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain Understand and talk about the major challenges in this field related to Data, LLMOps, Governance, Architecture etc. Required Skills Experience owning a product, balancing various stakeholder groups in an large enterprise setting Excellent written and verbal communication Deep understanding leveraging JIRA, Roadmunk, PowerPoint, or other communication vehicles to effectively communicate product capabilities and delivery timelines Understanding of the AIML domain in general, latest developments and trends in Generative AI Understanding of AIML capabilities on the major cloud providers Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy Understanding of Responsible AI, AI Ethics Ability to articulate technical concepts effectively to diverse audiences Understanding of Information Security, concepts such as Defense in depth and zero trust Demonstrated experience in DevOps, understanding of CI/ CD. Understanding of ModelOps/ ML Ops/ LLM Ops Strong desire and ability to influence development teams and help them adopt AI Demonstrated ability to work effectively in a global organization and across time zones Experience working in a large regulated industry such as Financial Services, Insurance etc. Strong hands on Application Development background in atleast one prominent programming language, preferably Python Understanding of how deep learning, neural networks works, difference between AI and ML Understanding of Machine Learning frameworks such as TensorFlow or PyTorch Experience working with cloud providers, preferably Azure, but also AWS, GCP Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience 10+ years of experience in software development/ software product management or related field Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Speak to our recruitment team to find out more. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.