Mercury Logo

Mercury

Revenue Technology - Data Strategy & Operations Lead

Reposted 4 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in San Francisco, CA
143K-198K Annually
Senior level
In-Office or Remote
Hiring Remotely in San Francisco, CA
143K-198K Annually
Senior level
This role involves owning and optimizing revenue data systems, ensuring data integrity, and partnering with teams to operationalize data for revenue execution. Responsibilities include defining data structures, designing data models, and improving data workflows.
The summary above was generated by AI

Mercury is redefining *banking for ambitious companies and behind every great financial platform is a data system that people can actually trust.

As Mercury scales, our revenue systems generate an enormous amount of information: signals from remote and in-person meetings, automation tools, product usage, lifecycle events, and analytics pipelines. Turning that activity into clear, reliable intelligence — without brittle pipelines or constant rework — is critical to how we grow.

We’re looking for a Data Strategy & Operations leader to own the data foundations that power revenue execution. This role ensures that revenue data is reliable, interpretable, scalable, and usable as the business evolves and that teams can act on what they see with confidence.

In this role, you will report to the Head of Platforms & Infrastructure and play a central role in shaping how Mercury models, governs, and operationalizes GTM data. You’ll partner closely with Data Engineering, Data Science, Solution Architecture, Platform Engineering. etc.

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Here are some things you’ll do on the job:
  • Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems)
  • Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows
  • Design and evolve core GTM data models across Salesforce, ETL, and analytics layers
  • Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers
  • Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates
  • Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity
  • Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms
  • Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations
  • Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead
  • Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security — advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives
You Should:
  • Have 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
  • Have deep experience designing and operating production data pipelines
  • Be highly proficient in SQL and experienced in data modeling
  • Have hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift)
  • Have experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar)
  • Understand Salesforce data models and common GTM system architectures
  • Be able to translate business concepts into durable, well-structured data models
  • Communicate clearly with both technical and non-technical partners
Preferred:
  • Experience supporting revenue, sales, or customer lifecycle data
  • Familiarity with event-based data platforms (e.g., Data Cloud or equivalents)
  • Experience working alongside platform engineering and security teams
  • Exposure to data governance, access controls, and compliance considerations
  • Experience mentoring or guiding other data practitioners
Compensation:

The total rewards package at Mercury includes base salary, equity, and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

  • US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $158,400 - $198,000
  • US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $142,600 - $178,200
  • Canadian employees (any location): $149,700 - 187,100 CAD

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.


#LI-SN1


Similar Jobs

2 Minutes Ago
Remote
United States
194K-217K Annually
Senior level
194K-217K Annually
Senior level
Healthtech • Social Impact • Software • Telehealth
Manage and coach a security operations team responsible for detection, investigation, and incident response. Perform hands-on work designing/tuning detections, operating SIEM/SOAR, leading incident response, improving automation and runbooks, and managing vendor relationships to protect patient and provider data.
Top Skills: AthenaMdrMitre Att&CkOcsfPantherPythonSIEMSoarSQLTrino
8 Minutes Ago
Remote or Hybrid
United States
42K-42K Annually
Junior
42K-42K Annually
Junior
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Serve as primary contact for customers via phone and digital channels, resolving complex policy, billing, and coverage issues end-to-end. Use AI-powered tools and guided workflows, validate AI-generated summaries, document interactions per regulatory/privacy requirements, escalate when needed, and contribute feedback and continuous improvement. Participate in required training and ongoing skill development.
Top Skills: Ai-Powered ToolsAutomated SummarizationCopilotCrm PlatformsGuided Decision WorkflowsKnowledge Bases
8 Minutes Ago
Remote or Hybrid
United States
42K-42K Annually
Junior
42K-42K Annually
Junior
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Provide end-to-end customer support across phone and digital channels for disability/intake inquiries, using AI-guided tools and CRM systems to resolve complex issues, document interactions, escalate when needed, and contribute to process improvements while following compliance and privacy requirements.
Top Skills: Ai-Powered ToolsAutomated SummarizationCopilotCustomer Communication SystemsCustomer Relationship Management PlatformsGuided Decision WorkflowsKnowledge Bases

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account