Head of Product - AI Development Platform - ED

About Morgan Stanley Morgan Stanley is a leading global financial services firm providing investment banking, securities, wealth management and investment management services. With a 90-year history, Morgan Stanley today operates in 42 countries serving corporations, governments, institutions, families and individuals. Morgan Stanley is a talent business that demands ongoing investment in our people. Key drivers of our success have been the breadth and tenure of our talent, as well as a unique culture and a set of values that guide our employees. We view Morgan Stanley’s talent and culture as a key competitive advantage enabling the Firm to achieve its potential and drive future success. As an integrated firm with scaled capabilities, we partner with clients at every stage of their financial journey. Our ability to do so is grounded in four pillars that define Morgan Stanley: a clear and consistent strategy to help clients raise, manage and allocate capital; a culture grounded in rigor, humility and partnership; financial strength through capital, earnings power and durability; and growth driven by smart, strategic investment globally. These pillars enable Morgan Stanley to provide trusted advice, operate with resilience across market cycles and deliver long-term value to our clients and shareholders. Social Media Disclosures: mgstn.ly/SocialDisclosure

Morgan Stanley

Sales & TradingInvestment BankingInvestment ManagementPrime BrokerageResearchInstitutional ConsultingWealth Managementand Private Wealth Management

M

morganstanley.com

10,001+ employees

Financial Services

New York, NY

Public Company

4.6M LinkedIn followers

• Define and drive the vision, strategy, and multi-year roadmap for Morgan Stanley’s AI Development Platform and related AI products.
• Partner with business teams and senior stakeholders to prioritize AI and Generative AI platform needs.
• Set product goals, success metrics, adoption strategies, and reusable capabilities that scale AI solutions across the enterprise.
• Communicate product vision, priorities, roadmaps, and delivery commitments while balancing business value, technical investment, risk, operations, and platform sustainability.
• Lead and develop Product Owners and Product Managers while fostering a high-performance product culture.
• Establish product best practices, governance, operating models, metrics, feedback loops, and lifecycle management across teams.
• Guide product discovery, prioritization, roadmap planning, stakeholder engagement, and execution.
• Support coaching, career development, performance management, succession planning, and cross-team collaboration to execute strategic objectives.
• Manage the platform backlog across features, technical debt, operations, modernization, and delivery priorities.
• Set stakeholder expectations with clear visibility into priorities, trade-offs, risks, timelines, and key product decisions.
• Partner with engineering, architecture, security, risk, and governance teams to deliver enterprise-ready AI capabilities and track adoption, impact, reliability, and efficiency.
• Serve as a thought leader on Generative AI technologies, industry trends, and best practices for responsible AI development, platform use, model selection, evaluation, and governance.
• Articulate key AI challenges across models, data, architecture, observability, security, risk, and regulation while influencing enterprise AI strategy with technology, business, and governance partners.

Required

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.
• 15+ years of experience in software development, software product management, platform management, or related technology roles.
• 8+ years of experience in product leadership, including leading Product Managers and/or Product Owners in a large enterprise environment.
• Demonstrated success owning a portfolio of products and driving strategy, execution, and adoption across multiple stakeholder groups.
• Proven track record of building, mentoring, and leading high-performing product management teams.
• Strong experience defining product strategy, business cases, roadmaps, KPIs, and governance models for enterprise platforms.
• Deep understanding of AI/ML technologies and the latest advancements in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and AI development platforms.
• Strong knowledge of AI and cloud ecosystems across Azure, AWS, and GCP, including managed AI services and platform capabilities.
• Experience evaluating and managing third-party vendors, open-source technologies, and strategic technology partnerships.
• Strong understanding of Responsible AI, AI governance, AI risk management, and AI ethics principles.
• Familiarity with information security concepts, including Defense-in-Depth, Zero Trust, and secure AI system design.
• Prior hands-on software engineering or application development experience in a modern programming language, preferably Python.
• Excellent communication, executive presentation, stakeholder management, and influencing skills, with the ability to communicate effectively across technical and business audiences.
• Experience working in highly regulated industries such as Financial Services, Banking, Insurance, or Healthcare.
• Demonstrated ability to operate effectively in large, global organizations and drive alignment across geographically distributed teams.

Preferred

• Experience building or operating enterprise AI platforms, developer platforms, or cloud-native platforms at scale.
• Experience leading AI transformation initiatives and driving enterprise-wide adoption of emerging technologies.
• Familiarity with AI evaluation frameworks, model lifecycle management, observability, governance, and platform operations.
• Experience presenting to senior executives and influencing strategic technology investments.
• Knowledge of financial services workflows and regulatory requirements related to AI adoption.
• To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.
• Expected base pay rates for the role will be between $195,000 and $275,000 per [hour/year] at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs
• Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
• For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

• Comprehensive employee benefits
• Perks
• Incentive compensation
• Discretionary bonuses
• Short and long-term incentive packages