Senior Staff Technical Product Owner FinOps Platform Engineering

Team 

Join the FinOps Platform Engineering organization the team that builds the FinOps Control Tower ServiceNows internal platform for cloud cost governance financial accountability and unit economics across our multi-cloud estate (AWS Azure and GCP). We own the data engineering and business intelligence layers that turn raw multi-cloud billing data into attributed governed decision-ready cost information for the people who run ServiceNows cloud. 

Our users are FinOps practitioners and the engineering finance and executive stakeholders they serve. The team brings together data engineers platform engineers BI/reporting engineers and FinOps domain experts. We partner closely with the FinOps practice who own the FinOps methodology and business strategy while we own how the platform delivers against it: the data models the allocation logic the semantic layer and the reporting experiences on top. Our key partners span Finance / FP&A Public Cloud Engineering AI Platform Engineering Capacity Planning Engineering Migration Engineering Data Engineering Data Platform Data Governance BI / Analytics Engineering and CMDB / Metadata Management. 

Role 

As Sr Staff Technical Product Owner for FinOps Platform Engineering you own the product direction for the FinOps Control Towers cost-and-usage capabilities with Showback as the flagship and the roadmap extending into allocation maturity unit economics and optimization. 

This is a hands-on technical product role embedded in engineering not a market-facing product management role and not a people-management role. You will own the backlog translate business requirements into concrete data-product and reporting specifications sequence the roadmap and drive adoption. You will set direction for the data engineering and BI teams and direct the technical work (dbt models SQL transformations semantic-layer definitions dashboard design) rather than writing it yourself. You lead through influence and deep technical judgment; you will not have direct reports. 

Youll partner daily with your peer the FinOps practice lead (who owns the what should FinOps do) and own the how the platform delivers it. Youll also work across Data Governance the data platform team and your own data engineers and BI developers. 

A defining part of the mandate: modernizing how we deliver insight. Our platform runs on a modern data stack (Trino dbt Apache Iceberg and Lightdash on AWS) and today much of our reporting lives in static dashboards (with a Tableau-to-Lightdash migration underway). You will drive the evolution toward governed self-service data apps built on the semantic layer: custom cost experiences that inherit our access controls and row-level security by default keep every metric definition consistent and let practitioners and their stakeholders answer their own questions without waiting on a rebuild. Dashboards become a product not a backlog of one-off report requests. 

This is a unique opportunity to own the cost-intelligence platform for all of ServiceNows cloud spend at Fortune 500 scale with a clear mandate to modernize it. 

What you get to do in this role 

• Own the product vision and roadmap for the FinOps Control Towers cost-and-usage capabilities with Showback as the foundation and a clear path through allocation unit economics optimization. 

• Define Showback as a product: clear attributed spend by stakeholder a consistent allocation hierarchy (CSP BU SKU instance) and clean separation of production non-production trial and internal workloads serving BU-finance cost summaries and platform-team instance-level detail from one source of truth. 

• Drive the modernization from static dashboards to governed data apps on the semantic layer: self-service access-controlled cost experiences with consistent metric definitions replacing one-off report requests with a durable data-product surface. 

• Own requirements intake prioritization and the backlog across FinOps practitioners finance leaders engineering teams and executives turning ambiguous asks into sequenced shippable work. 

• Define the data-product and semantic-layer specification: cost metrics (e.g. Net Effective Cost actual vs. forecast) allocation logic and the dimensional model (BU SKU instance customer/workload) translating business requirements into work the data engineering and BI teams build in dbt the warehouse and the semantic layer. 

• Deliver unified multi-cloud cost visibility across AWS GCP and Azure; partner with engineering to onboard new billing datasets normalize cost structures and resolve provider inconsistencies as Azure reaches parity. 

• Ensure every reporting and data product aligns with FinOps data governance standards: tagging and metadata cost-attribution rules SKU-hierarchy consistency and enterprise data-handling controls. 

• Own the roadmap beyond reporting sequencing the platform through clear phases: unified multi-cloud showback  a cost-allocation framework and SKU-level attribution planning and forecasting inputs optimization (rightsizing waste and unattached-resource identification opportunity sizing) and unit economics. Gate each phase on the data-model and semantic-layer work it depends on. 

• Define the platforms adoption and coverage targets then drive to them. Establish the measurement model for how success is quantified (showback coverage of spend active adoption across teams and personas and allocation accuracy) set the targets in partnership with the FinOps practice and finance leadership and use them to steer prioritization. This is about owning the definition of good not just reporting against numbers handed to you. 

• Lead through influence: align the engineers building alongside you to the target direction review designs resolve technical tensions and hold the quality bar without taking the keyboard away from them. 

• Apply AI/ML tooling where it accelerates the work and on the roadmap where it makes cost insight more self-service and proactive for practitioners. 

What success looks like 

• Stakeholders can clearly see who owns which spend and why from one trusted source.

• A consistent multi-cloud cost-attribution model spans AWS GCP and Azure. 

• Showback is the source of truth for cost accountability across the organization with a clear agreed definition of adoption and coverage and measurable progress against it. 

• Reporting has shifted from static dashboards to governed self-service data apps and the queue of one-off report requests shrinks as a result. 

• Showback maturity unlocks the downstream capabilities (optimization planning unit economics) that depend on it. 

Qualifications :

To be successful in this role you have:

• Experience leveraging or critically thinking about how to integrate AI into work processes decision-making or problem-solving. 

• 12 years in technical product ownership technical program management or product management of data analytics or reporting platforms with a track record of shipping data products that stakeholders actually adopt. 

• Proven ownership of dashboards metrics and reporting as a product (not a backlog of ad hoc report requests) including defining metrics KPIs and the reporting experiences executives rely on. 

• Demonstrated ability to translate ambiguous business requirements into concrete data-product specifications and to sequence a roadmap that ships incrementally. 

• Experience defining the success metrics for a platform or data product (adoption coverage and quality measures) and driving adoption against them not just delivering features. 

• Experience directing data engineering and BI work (dbt/SQL transformations warehouse/data-model design and semantic-layer definitions) partnering with engineers who build it without needing to write production code yourself. 

• Strong working fluency with the modern data stack and semantic-layer concepts (dbt a cloud data warehouse a metrics/semantic layer BI tooling) enough to make and defend product and modeling decisions with engineers. 

• Proven ability to lead through influence across teams you do not manage setting technical product direction and raising the bar. 

• Excellent stakeholder management across engineering data finance and executive audiences and strong technical writing and documentation skills for both engineering and business readers. 

• Full professional proficiency in English. 

• Strongly preferred 

• Cloud FinOps or cloud cost management experience: cost allocation showback/chargeback unit economics or cloud billing data (AWS GCP and/or Azure). 

• Familiarity with cloud billing datasets and the realities of normalizing cost data across providers. 

Nice to have 

• Experience with the ServiceNow platform (administration development or Performance Analytics). Our target users live here. 

• Experience building or operating a FinOps platform end to end. 

• Knowledge of unit-economics modeling forecasting and variance analysis. 

• Familiarity with semantic-layer / metrics tools (Lightdash dbt metrics or similar) and the emerging data-apps pattern for governed self-service analytics. 

• Experience with Net Effective Cost or commitment/discount modeling (RIs Savings Plans committed-use discounts EDP-style contracts). 

Why join us 

• Own the cost-intelligence platform for all of ServiceNows cloud spend at global scale. 

• Collaborate in a culture that values craftsmanship quality and innovation. 

• Work symbiotically with AI and automation tools that enhance excellence and drive product reliability. 

• Be part of a culture that encourages innovation continuous learning and shared success. 

FD21

For positions in this location we offer a base pay of $190900 - $334100 plus equity (when applicable) variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

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 religion sex sexual orientation national origin age disability gender identity  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. 2026 Fortune Media IP Limited. All rights reserved. Used under license.

Remote Work :

Yes

Employment Type :

Full-time