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Senior Staff Technical Product Manager Enterprise Data
Senior Staff Technical Product Manager Enterprise DataServiceNow • Addison, Texas, USA
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Senior Staff Technical Product Manager Enterprise Data

Senior Staff Technical Product Manager Enterprise Data

ServiceNow • Addison, Texas, USA
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Were not yesterdays IT department were Digital Technology. The world around us keeps changing and so do we. Were redefining what it means to be IT with a mindset centered on transformation experience AI-driven automation innovation and growth. Were all about delivering delightful secure customer and employee experiences that accelerate ServiceNows journey to become the defining enterprise software company of the 21st century. And we love co-creating using and highlighting our own products to do it.

Ultimately we strive to make the world work better for our employees and customerswhen you work in ServiceNow Digital Technology you work for them.

The Team :

The ServiceNow Enterprise Data team builds AI powered data solutions to unlock full value of Enterprise data. This means building capabilities to elevate the automation and experience to build AI-native applications and empowering everyone with Enterprise data to enable data-driven decision making for every persona in the organization.

We are looking for an experienced Technical Product Manager for Enterprise Data team part of central Data & Analytics team. With a focus on AI this person will lead the strategy roadmap and execution of data and AI platform capabilities that power next-generation intelligent enterprise applications to enable Enterprise Data for every persona and unlock full value of Enterprise data. This role focuses on building scalable trusted and AI-ready data infrastructure enabling seamless integration of GenAI and Agentic AI capabilities ensuring data orchestration model lifecycle management and observability.

This is a technical product role and expects the candidate to bring in the hands-on expertise ensuring enterprise-grade scalability governance and performance while delivering customer-centric impactful solutions that accelerate AI adoption across the organization. The ideal candidate is a strategic thinker fast learner adept problem-solver and obsessed about customer value. This is a unique role to simplify the complexities for the data-world and create value with unlocking enterprise data yet keeping security as the key consideration.

What you get to do in this role :

As enterprises accelerate their AI transformation the need for scalable trusted and data-rich platforms has never been greater. As a Technical Product Manager for Enterprise Data with a focus on Generative AI and Agentic AI you will define and drive the strategy for AI-native data platform that power next-generation intelligent applications unlocking the full value of Enterprise this high-impact role you will :

  • Own the design strategy and roadmap and execution for enterprise data and GenAI platform capabilitiesfocusing on data lifecycle management prompt orchestration and output validation.
  • Performs research partner with x-functional teams users and business leads to understand the opportunities fand ideate for enterprise grade design and solutions with a focus on scale quality security and self-service across the enterprise.
  • Drive AI readiness and data initiatives integrating governance observability and database capabilities into the platform.
  • Collaborate closely with horizontal and vertical teams to embed AI-driven capabilities and experiences into key workflows ensuring reusability scalability and trust across the ecosystem.
  • Combine technical depth with strategic vision balancing innovation with operational excellence and performance optimization.
  • Lead cross-functional delivery managing priorities dependencies and success metrics across multiple teams working with users dev teams and tech architects on day-to-day basis to understand challenges gather insights and co-create AI-powered data solutions that deliver measurable value.
  • Prototype and validate new Agentic AI and data-driven capabilities translating early learnings into strategic product direction.
  • Design solutions with clarity on how users will act and create value from the data and AI models; incorporates feedback loop instrumentation into the design.
  • Drive the adoption of products amongst the user community increase product satisfaction and drive ACV the impact from Analytics products.
  • Champion a customer-centric and data-driven culture promoting a deep understanding of how data AI models and decision intelligence come together to drive business outcomes.
  • Influence across organizational boundaries leading alignment between data AI and platform product areas to ensure coherent architecture and shared innovation goals.

Qualifications :

To be successful in this role you have :

  • Typically requires a minimum of 12 years of related experience; a Masters degree with 8 years of enterprise software product management experience including 5 years in SaaS or data / AI platforms .
  • Deep expertise with data platforms cloud scalability event-driven systems and workload management data-architecture and governance
  • Proven experience building or managing GenAI / LLM capabilities with deep understanding of Applied AI into the world of Data platform
  • Background in AI / ML Data Engineering or Applied Data Science
  • Ability to make trade-offs between technical feasibility user experience and business impact.
  • Exceptional communication and stakeholder management skills to translate complex AI concepts into actionable business specs with outcomes.
  • Demonstrated success driving large cross-functional stakeholder in ambiguous high-growth environments
  • Hands-on data expert : Develop deep domain expertise mastering datasets and metrics. Analyze data using tools of your choice (Excel R or Python) and build simple machine learning models as needed
  • Experience with Agentic AI systems autonomous agents retrieval-augmented workflows or orchestration frameworks
  • Familiarity with vector databases LLMOps data observability and responsible AI practices.
  • Preferred :

  • Understanding of ServiceNow platform is highly desirable
  • Having Figma expertise is a plus
  • #DTjobs

    Additional Information :

    Work Personas

    We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

    Equal Opportunity Employer

    ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

    Accommodations

    We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance.

    Export Control Regulations

    For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

    From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license.

    Remote Work : Yes

    Employment Type : Full-time

    Key Skills

    Continuous Integration,Agile,HTTPS,SAFe,Systems Engineering,Acquisition Strategy,Requirements Analysis,Sharepoint,UML,Technical Support,Cerner,Troubleshooting

    Experience : years

    Vacancy : 1

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