Sr. Group Product Manager Data Enablement

Job Description: Sr. Group Product Manager Data Enablement

Job Summary

Vertiv is building a modern intelligent data ecosystem that powers worldclass operations customer experiences and AIdriven decision-making. As we accelerate our digital and AI transformation highquality governed and accessible data is at the center of how we operate.

We are seeking a Sr. Group Product Manager Data Enablement to lead the Data Products strategy and execution for Vertivs enterprise data and core data platform capabilities. This includes applying Agile Scrum mindset to manage Enterprise Data as an Asset with value-focused portfolio of domain-aligned and source-aligned Data Products powered by a semantic layer data quality metadata and multiple consumption modes (APIs BI dashboards AI Agents). This role will partner closely across business domains (OTO/OTC Manufacturing Supply Chain / Procurement Order Fulfillment Finance and others) to ensure that data is wellmanaged trusted discoverable and usable across the company.

This role is ideal for a product leader who thrives at the intersection of business strategy data architecture and modern product thinkingand who can lead crossfunctional teams in a scaled enterprise environment.

About the Team

The Enterprise Data team is responsible for building Vertivs foundational data ecosystem that enables the company to scale AI analytics and operational intelligence. Our mission is to ensure that:

1. Data is wellmanaged and structured through automated controls and consistent data practices.
2. Data is easily available discoverable and usable through well-designed data products discoverability metadata and semantic consistency.

Responsibilities:

1. Data Products & Domain Enablement

• Own the Roadmap for defining and scaling the enterprise model for domain-owned data products (starting with O2C and Finance).
• Drive value and consumption of Data Products.
• Ensure all data products meet standards for quality lineage SLOs contracts security and interoperability.

2. Data Management

• Drive automated governance across the data lifecycle in Enterprise Data Lake - from ingestion to publishing to consumption in Business-ready and AI-ready consumption layers.
• Partner with Engineering Architecture and Security to operationalize Data Management policies and controls.
• Own the roadmap for Data Quality measurement in the data lake (DQ scores rules issues workflow observability).

3. Data Foundation & Common Ecosystem

• Lead the product roadmap and its disciplined execution for core data capabilities:
  • Enterprise data lake (powered by Snowflake)
  • Data marketplace
  • Data Management capabilities including Metadata lineage and observability
• Partner with engineering to evolve the platform for scale performance and self-service enablement.
• Execute work in bi-weekly Sprints with user demos and feedback to drive adoption and value of Enterprise Data capabilities (Agile Scrum)

Responsibilities:

Strategic Data Leadership

• Develop and execute the multi-year product strategy for enterprise data foundations and domain data products.
• Influence senior business and technology stakeholders aligning them behind a consistent data product operating model.
• Translate complex business needs into scalable data capabilities.

Product Execution

• Lead execution working closely with Engineering teams across discovery prioritization roadmap creation and release planning.
• Create clear problem statements outcome-driven metrics and success criteria.
• Partner with Engineering Data Architecture Governance MDM Security Analytics and AI Engineering.
• Work closely with domain leaders (Sales Ops/O2C Finance Supply Chain) to ensure adoption and enterprise impact.

Quality Risk & Compliance

• Ensure data products adhere to data quality lineage privacy and SLO/SLA expectations.
• Mitigate risks proactively with internal controls transparency and measurement.

What Success Looks Like

• Enterprise data products are adopted by key domains and power trusted analytics & AI.
• Data in Vertivs Enterprise Data Lake becomes well-managed high-quality discoverable and usable for Business consumption.
• Business teams reduce time spent on manual data manipulation and Agentic AI ecosystem is accelerated.
• Vertiv moves closer to a self-service domain-driven data ecosystem.

Requirements:

• 10 years of product management experience (data platforms or enterprise SaaS preferred).
• Demonstrated success leading complex cross-functional initiatives at scale.
• Good understanding of modern data architectures: data lakes data products semantic layers APIs MDM metadata management.
• Ability to convert ambiguous business needs into structured product roadmaps and measurable outcomes.
• Experience working with engineering teams on cloud data platforms
• Excellent communication leadership and stakeholder engagement skills
• Preferred
  • Experience with AI platforms and enabling data for AI agents.
  • Experience establishing or scaling domain data product operating models in Manufacturing domain areas.

The successful candidate will embrace Vertivs Core Principals & Behaviors to help execute our Strategic Priorities.

OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.

OUR STRATEGIC PRIORITIES

Customer Focus

Operational Excellence

High-Performance Culture

Innovation

Financial Strength

OUR BEHAVIORS

Own It

Act With Urgency

Foster a Customer-First Mindset

Think Big and Execute

Lead by Example

Drive Continuous Improvement

Learn and Seek Out Development

About Vertiv

Vertiv is a $8.0billion global critical infrastructure and data center technology company. We ensure customers vital applications run continuously by bringing together hardware software analytics and ongoing services. Our portfolio includes power cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus Ohio USA Vertiv employs around 20000 people and does business in more than 130 countries. Visit to learn more.

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E F-1 H-1 H-2 L B J or TN or who need sponsorship for work authorization now or in the future are not eligible for hire.

Equal Opportunity Employer

Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring terms of employment mobility training compensation and occupational health without discrimination as to age race color religion creed sex pregnancy status (including childbirth breastfeeding or related medical conditions) marital status sexual orientation gender identity / expression (including transgender status or sexual stereotypes) genetic information citizenship status national origin protected veteran status political affiliation or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position you can request help by sending an email to

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