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Sr Data Product Owner | Palo Alto, California
Sr Data Product Owner
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Palo Alto , California

|

Hybrid

|

Contract

Palo Alto, California

|

Hybrid

|

Contract

Job ID 76470|Posted Sep 30, 2026
JOB DESCRIPTION

Join a high-impact data team supporting business-critical revenue reporting and analysis for a fast-moving SaaS environment. This hybrid role is ideal for someone who can bridge Finance and data platforms, translate complex business needs into clear requirements, and independently investigate ARR and NRR questions with strong analytical rigor.

Responsibilities

  • Serve as the primary partner for Finance stakeholders, gathering requests, clarifying requirements, and helping prioritize work based on business impact.
  • Own recurring ad hoc analysis for ARR and NRR, providing timely insights and clear explanations for business questions.
  • Support quarter-end close activities, including ARR snapshots, bridge reconciliation, variance analysis, and sign-off preparation.
  • Help define and document new go-to-market structures so they can be modeled and reported accurately.
  • Investigate bridge movements, maintain ARR reporting logic, and support ongoing model updates.
  • Design and deliver new reporting, dashboards, or recurring outputs for metrics that do not yet exist.
  • Work closely across Finance and data teams to determine when an issue can be solved through analysis versus when engineering support is needed.

Skills

  • 10+ years of experience in data analytics, revenue analytics, finance analytics, FP&A systems, or a related field, including experience at a public SaaS company.
  • Strong understanding of SaaS revenue metrics such as ARR, NRR, churn, renewals, ATR, and bookings.
  • Hands-on SQL skills with the ability to query Snowflake independently.
  • Ability to read dbt models and trace how numbers are built across data pipelines.
  • Working knowledge of Salesforce objects and how opportunities, quotes, entitlements, and renewals connect.
  • Practical understanding of deal structures such as ramp, flex, multi-year, delayed start, co-terming, and early renewal.
  • Experience partnering with Finance on reporting that requires accuracy, traceability, and auditability.
  • Background in product ownership or analytics business analysis with backlog ownership.
  • Ability to define new metrics and build reporting from the ground up.
  • Comfort using AI and LLM tools to accelerate analysis and presentation-ready work.

Preferred Skills

  • Experience supporting quarter-end close and external reporting cycles.
  • Familiarity with data product workflows and cross-functional stakeholder management.
  • Strong communication skills with the ability to explain technical findings in business-friendly language.
  • Highly organized approach to managing multiple priorities in a fast-paced environment.
  • Curiosity and confidence to dig into complex data issues and resolve them independently when possible.

Horizontal Talent is committed to building an inclusive environment where different backgrounds, perspectives, and experiences are valued. We encourage candidates of all identities and abilities to apply, and we believe diverse teams help create better outcomes for everyone.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.

Horizontal is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Horizontal is committed to taking affirmative action to employ and advance in employment qualified individuals with disabilities and protected veterans. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or participate in the interview process, click here to request accommodation assistance.

All applicants applying must be legally authorized to work in the country of employment.

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