We're seeking a Head of Product to join our team and lead the product strategy, roadmap, and adoption of Morgan Stanley's firmwide AI Development Platform. This leader will be responsible for defining the vision for the platform, driving enterprise adoption of AI capabilities, and building and leading a team of Product Owners responsible for delivering AI-powered products and platform capabilities across the firm.
Morgan Stanley has been at the forefront of the AI journey, building applications that leverage AI to provide better, personalized advice to our clients. Generative AI presents a unique opportunity to unlock new capabilities for both internal users and clients, accelerating innovation, productivity, and business outcomes across the enterprise.
The ideal candidate will possess deep expertise in AI, machine learning, and Generative AI technologies, combined with extensive product leadership experience. They will have a strong understanding of the capabilities required to successfully deploy enterprise-scale AI solutions, including AI models, cloud platforms, third-party vendor ecosystems, vector databases, data platforms, governance frameworks, and developer tooling. As a senior product leader, they will balance strategic thinking with execution, influencing stakeholders across technology and business organizations while building a high-performing product management function.
This role requires strong leadership, product vision, and organizational influence. The successful candidate must demonstrate ownership and accountability for a portfolio of AI products and platform capabilities while fostering a culture of innovation, collaboration, and continuous improvement across the product organization.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. Since 1935, Morgan Stanley has been a global leader in financial services, continuously evolving and innovating to better serve our clients and communities in more than 40 countries around the world.
Responsibilities Product Leadership & Strategy - 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.
People Leadership & Product Organization - 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.
Product Delivery & Platform Governance - 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.
AI Subject Matter Expertise - 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 Skills & Experience - 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 Qualifications - 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.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 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.
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
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
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 .
