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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP, Senior Product Manager-Data Products & Platforms - **Company:** Morgan Stanley - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $160,000.0 - $222,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, ARM Architecture, Data Architecture, Data Governance, Data Systems, Snowflake, Data Management - **Published:** May 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=086635143e0d616e ## About the Role Do you have experience in Stakeholder management?, * Experience shaping team practices , strengthen product discipline, improve decision-making, increase accountability , a n d help teams balance between discovery and delivery. * Expertise in data product strategy, semantic modeling, or data architecture within cloud data environments, ideally including Snowflake. * Ability to set clear standards for product design, data quality, and modeling practices, and ensure consistent adoption across teams. * Strong judgment in balancing stakeholder needs, technical considerations, and product priorities. * Experience partnering with senior stakeholders to understand business needs , reconcile technical constraints and align on expectations * Knowledge of data governance, semantic modeling concepts, and modern data - platform practices to support self - service workforce intelligence . * Clear, structured communication skills , including the ability to translate complex topics for a range of audiences. What you can expect from us : You'll join a team with a clear mandate, substantive work and no shortage of complex problems to solve. We work at the intersection of business need, product thinking and execution, and we value analytical thinking, innovative but practical solutions, and the ability to move comfortably between strategy, detail and delivery. We set a high bar . For the right person, this role offers the opportunity to take ownership, partner thoughtfully across organizational and geographi c boundaries, and contribute to work that is visible, durable and global in reach. ## Description We're seeking someone to join our team as a S enior D ata P roduct leader , where you will own and direct the portfolio of our Snowflake based data products and semantic models , guiding multiple squads to deliver reliable, scalable capabilities that enable firmwide workforce decision-making. In the Human Resources division, we help the firm support and develop its workforce through people's insight, effective service delivery and practical tools that make it easier for employees and managers to get what they need . This role sits within HR Data & Intelligence, which helps the firm make better workforce decisions by turning data into trusted insight and delivering the reporting, platforms and AI-supported capabilities that support people operations and self-service access to workforce insight across HR and the business . Interested in joining a team that combines innovation and execution to build useful things and drive real change? Read on. What you'll do in the role : * Define and evolve the long-term vision and architecture for HR data capabilities , semantic model design, and Snowflake platform enablement in partnership with HR, Technology, and business stakeholders. * Extend the platform's AI capabilities by supporting t he roadmap for Snowflake Cortex-based conversational insights-partnering across AI/ML, engineering, and UX to deliver trusted, natural-language access to HR data through virtual-agent channels. * Develop a strong product culture , setting clear expectations, coaching, and establishing ways of working that ensure consistent, high - quality delivery. * Own the integrated roadmap , balancing user needs , technical feasib ili ty , and constraints while ensur ing alignment with HR, T echnology and firmwide strategies * Set practical, scalable, organization -facing standards for semantic modeling, data quality, documentation, and governance across squads. * Oversee execution and delivery, ensuring teams effectively dr i ve design, development, testing, rollout, and lifecycle management for their data products. * Partner with senior stakeholders to understand evolving needs, sharpen problem statements, and clarify tradeoffs to support the development of fit for purpose data solutions . ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)