VP, Senior Product Manager-Data Products & Platforms

PowerToFly; New York (NY); On-site; USD 160,000 - 222,000; Full time

Job summary

PowerToFly is looking for a Senior Data Product leader in New York City. This position will be responsible for directing Snowflake-based data products and semantic models in the Human Resources division. You will work to ensure reliable and scalable capabilities for workforce decision-making.

The ideal candidate should have experience in data product strategy and strong stakeholder engagement skills. The expected salary ranges from $160,000 to $222,000 annually, with total compensation including various benefits.

Qualifications

• Experience shaping team practices and product discipline.
• Expertise in cloud data environments, ideally Snowflake.
• Strong judgment in balancing technical considerations and product priorities.

Responsibilities

• Define and evolve long-term vision for HR data capabilities.
• Extend platform's AI capabilities through Snowflake.
• Develop a strong product culture and set clear expectations.
• Own the integrated roadmap and ensure alignment with strategies.
• Oversee execution and delivery of data products.

Skills

Data product strategy

Semantic modeling

Data architecture

Stakeholder engagement

Cloud data environments

Job description

We’re seeking someone to join our team as a Senior Data Product 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.

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 the 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 feasibility, and constraints while ensuring alignment with HR, Technology 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 drive design, development, testing, rollout, and lifecycle management for their data products.
• Partner with senior stakeholders to understand evolving needs, sharpen problem statements, and clarify trade‑offs to support the development of fit‑for‑purpose data solutions.

What you’ll bring to the role:

• Experience shaping team practices, strengthening product discipline, improving decision‑making, increasing accountability, and helping 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 geographic boundaries, and contribute to work that is visible, durable and global in reach.

Expected base pay rates for the role will be between $160,000 and $222,000 per 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.