Revenue Technology - Data Strategy & Operations Lead

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 [... source excerpt omitted ...] y 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 supporti [... source excerpt omitted ...] ovey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. [Please see the independent bias audit report covering our use of Covey for more information.] #LI-SN1