Marketing Operations Lead

Rho•New York, NY

3d•$130,000 - $180,000•Remote

About The Position

Rho is seeking a Marketing Operations Lead to manage the data and systems underlying its marketing efforts. This role is crucial for bridging the gap between marketing spend and customer acquisition, ensuring reliable measurement of channel performance and cost. The position is hands-on, focusing on data infrastructure within Snowflake and dbt, in collaboration with the data engineering team. The lead will be responsible for defining metrics, modeling data, ensuring data accuracy, and enabling the marketing team to answer their own questions independently. The role requires strong judgment regarding PII and compliance, particularly within the financial services context, and the ability to work effectively across different teams without direct authority.

Requirements

Fluent SQL and experience building and owning dbt models in a real warehouse.
Experience owning marketing or GTM data at a company where financial outcomes mattered, and defending CAC or attribution numbers to executives.
Experience reconciling conflicting numbers across ad platforms, a CRM, and a warehouse, and explaining discrepancies.
Experience with systems side (forms, lead routing, CRM sync, reverse ETL, campaign taxonomy), not just analysis.
Ability to define metrics rather than wait for definitions.
Judgment about PII and compliance in marketing tooling, especially in a regulated financial services context.
Comfortable being the only person in your function, working across marketing, data engineering, sales ops, and growth without formal authority.

Nice To Haves

Fintech, banking, or another regulated environment.
Snowflake, dbt, Hightouch, Salesforce, HubSpot specifically.
Experience standing up measurement for AI search and answer engine visibility.

Responsibilities

Own the marketing metrics layer: define the grain, the metric definitions, and the join path to funnel and funded outcomes for every marketing source.
Land and model the full source list in Snowflake: paid social, web analytics, search console, organic social across four platforms, affiliate and referral, call platform data, CRM lead and opportunity data, and AI search visibility. Work with data engineering on ingestion; own the dbt models on top.
Build channel-level attribution that survives scrutiny, including reconciling the known gaps between ad platform reporting, the CRM, and our call platform, where the same funnel currently returns three different numbers.
Ship and maintain the recurring reporting the business runs on: weekly channel performance and cost per funded customer, CAC and payback by channel and cohort against target, and the marketing health view.
Own the activation layer: reverse ETL out of the warehouse into lifecycle, ads, and sales tooling, so audiences and triggers are built from modeled data rather than hand-pulled lists.
Own marketing systems hygiene end to end: form capture, lead routing and CRM sync, UTM and campaign taxonomy, and the data contracts between marketing tools and the warehouse.
Make PII handling correct by design in the marketing stack, including where lead capture data is allowed to land and what gets passed to third-party platforms.
Instrument new programs as they launch rather than after, so a channel is measurable the week it goes live.
Leave every model and pipeline with documentation and monitoring, so a wrong number surfaces on a dashboard before it surfaces in a board meeting.