Senior Manager, Marketing Analytics & Operations

Senior Manager, Marketing Analytics & Operations

Remote United States

Integrated Specialty Coverages, LLC (ISC) is a growth stage technology and data-driven commercial MGA and insurance wholesaler leading innovation in the market. Backed by one of the leading private equity firms, Onex Partners, and led by a forward-thinking management team, ISC is combining the worlds of insurance and technology to create an Insurtech powerhouse. As a leading online distributor of insurance products for a range of industries and “Main Street USA”, we are looking for the right people to help us in our mission of achieving exponential growth.

We strive to be the number one place to go for brokers and agents to source insurance. To accomplish this, we’re building a digitally focused team that deeply understands the intersection between user experience, data, and AI/ML to optimize the way we engage with our customers and partners.

The Senior Manager, Marketing Analytics & Operations will serve a critical role within ISC’s centralized Retail Marketing Team (RMT), acting as the foundational layer that helps enables digital marketing efficacy. Reporting directly to the Head of Digital Marketing, Retail, this person will architect and operationalize ISC’s unified marketing data infrastructure across all five retail business units. This is as much a marketing strategy role as a data infrastructure role: the ideal candidate bridges Snowflake/Looker technical depth with genuine digital marketing fluency across paid search, paid social, SEO, and affiliate channels.

• Own the design, build, and ongoing management of ISC’s centralized marketing data infrastructure:
  Snowflake data warehouse, dbt transformation layer, Fivetran/Airbyte ingestion pipelines, and Looker BI dashboards build spanning all five retail business units.
• Define and maintain the canonical KPI framework across the RMT — including CAC, CAC% of Gross Revenue, ROAS, LTV:
  
  CAC, CVR (quote-to-bind), impression share, and email revenue attribution — in close collaboration with Head of Digital Marketing, BU leads and Finance; serve as the authoritative source for portfolio-level performance measurement.
• Ensure accurate marketing tracking and attribution across all paid and owned channels: oversee pixel governance, server-side CAPI implementation, GTM configuration, offline conversion pass-back, and call tracking; resolve attribution gaps that currently impede value-based bidding and ROAS reporting across the portfolio.
• Develop forecasting models, performance targets, and budget scenario analyses that enable data-driven budget reallocation.
• Lead incrementality testing program design and execution, including geo holdout tests, lift studies, and creative A/B test measurement, to validate the true incremental impact of marketing spend and channel diversification decisions.
• Deliver bi-weekly executive marketing summary reports and enable weekly automated channel-level, partner-level, and campaign-level reporting for the full RMT; build the self-service analytics capability that eliminates the current 2–3 day reporting lag across the portfolio.

• 5+ years of marketing analytics or marketing operations experience, with at least 2 years in a role with direct ownership of a Snowflake (or equivalent cloud data warehouse) and BI tool environment (Looker strongly preferred).
• Demonstrated proficiency with DBT for data modeling and transformation; experience building and maintaining CAC, ROAS, and multi-touch attribution models from raw ad platform data.
• Deep understanding of digital marketing measurement across paid search (Google Ads, Microsoft Ads), paid social (Meta CAPI, pixel), and affiliate/aggregator channels; ability to diagnose and resolve tracking and attribution failures independently.
• Hands‑on experience with data ingestion tools (Fivetran, Airbyte, or equivalent) and data pipeline management across multiple source systems including Google Ads API, Meta Ads API, GA4, CRM/policy systems, and email platforms.
• Strong proficiency in SQL (required);
  Python for analytics a plus;
  LookML…