Conversational & Generative AI Product Management Lead at Morgan Stanley

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

0.0

Posted On

05 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Business Analysis, Team Leadership, Conversational AI, Generative AI, Agile Delivery, Stakeholder Engagement, User Experience, Data Privacy, Natural Language Understanding, Knowledge Graphs, Machine Learning, Analytical Skills, Communication Skills, Mentoring, JIRA

Industry

Financial Services

Description

We are seeking a strategic and technically adept Conversational AI Product Management Lead to support the development and evolution of AI-powered virtual assistants and generative AI solutions. This role blends Product Management support, Business Analysis, and Team Leadership, requiring a strong understanding of conversational AI technologies, stakeholder engagement, and agile delivery practices. The ideal candidate will collaborate with product owners and cross-functional teams to ensure solutions align with business goals and user needs. Key Responsibilities Product Management Partner with Conversational AI Product Owners to support the execution of product vision, strategy, and roadmap for Conversational and Generative AI solutions. Assist in translating business needs into product features and user stories, ensuring alignment with strategic objectives. Contribute to backlog refinement and prioritization by providing business context, user insights, and technical feasibility assessments. Collaborate with UX designers, developers, and data scientists to ensure product features meet user expectations and business requirements. Monitor product performance using analytics and user feedback and recommend enhancements to improve user experience and business impact. Participate in ideation and discovery sessions to identify new opportunities for AI-driven automation and customer engagement. Ensure product development aligns with data privacy, security, and ethical AI standards. Business Analysis Gather and document detailed business requirements through stakeholder interviews, workshops, and data analysis. Create process models, specifications, diagrams, and user stories in tools like JIRA and Confluence. Conduct gap analysis and feasibility assessments for new AI features and enhancements. Manage User Acceptance Testing (UAT), business checkouts, and release validation activities. Analyze conversational data to identify optimization opportunities and improve AI performance. Support training and refinement of Natural Language Understanding (NLU) and Knowledge Graph models. Team Leadership Lead and mentor a team of business analysts and product owners working on conversational AI initiatives. Provide guidance on agile best practices, backlog grooming, sprint planning, and delivery execution. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning. Act as a senior point of contact for cross-functional teams, ensuring alignment and timely issue resolution. Support onboarding and professional development of junior team members. Qualifications Bachelor’s degree or equivalent experience in Computer Science, Business, or related field. 7+ years of experience in Product Management, Business Analysis, or related roles. 2+ years of experience working with Conversational AI, Generative AI, or Virtual Assistant platforms. Proven success in supporting digital product delivery in an agile environment. Strong analytical and problem-solving skills with attention to detail. Excellent communication, presentation, and stakeholder management skills. Ability to lead cross-functional teams and influence without direct authority. Experience mentoring junior team members and fostering team growth. Experience with JIRA, Confluence, and process modeling tools. Ability to define KPIs and measure product success using analytics tools. Recommended Skills Strong grasp of conversation design principles and user experience best practices. Familiarity with AI technologies such as NLU, LLMs, Knowledge Graphs, and LangChain. Understanding of Natural Language Processing (NLP), Machine Learning, and AI model training. Knowledge of REST APIs, cloud platforms (Azure, AWS), and data integration. Familiarity with regulatory and compliance considerations in AI applications. Nice to have Financial Services Industry experience Experience with Kore.ai or related Conversational AI platform, OpenAI technology and LangChain frameworks #LI-MB1 #BPDBA #LI-hybrid WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. 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. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. 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. Certified Persons Regulatory Requirements: 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? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunities employer. 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.

Responsibilities

The Conversational AI Product Management Lead will partner with product owners to execute the product vision and strategy for AI solutions, while also collaborating with cross-functional teams to ensure alignment with business goals. Responsibilities include monitoring product performance, gathering business requirements, and leading a team of analysts and product owners.