Data Operations Lead, B2B

Role Overview

The Data Operations Lead, B2B is a senior individual contributor embedded at the intersection of new business, marketing measurement, and complex pipeline data delivery. This role serves three distinct functions: supporting the pre-sales process on large B2B and Lead Gen engagements, contributing to Power Digital’s marketing measurement programs, and owning the data onboarding and integration experience for B2B and Lead Gen clients post-signature.

What You Will Do

You will own the end-to-end data onboarding experience for B2B and Lead Gen clients post-signature, lead structured data intake sessions, coordinate standup of B2B and Lead Gen data pipelines, own the ingestion and normalization of unstructured lead data sources, validate integrations, and maintain living integration documentation per client.

Why It Might Be a Fit

This role requires a B2B and Lead Gen data specialist with deep hands-on experience with CRM platforms, marketing automation tools, and demand generation platforms. You should be able to bring structure to unstructured data, handle unstructured and non-standard lead data ingestion, and have solid SQL skills and hands-on Snowflake experience.

Requirements

• 4+ years in data operations, marketing analytics, or marketing technology with direct client or stakeholder-facing responsibilities
• Deep hands-on experience with B2B and Lead Gen data ecosystems — CRM platforms (Salesforce, HubSpot), marketing automation (Marketo, Pardot), and demand generation tools (LinkedIn Ads, 6sense, Demandbase)
• Proven experience handling unstructured and non-standard lead data ingestion — CSV imports, manual data entry reconciliation, screenshot-to-data workflows, and custom ingress pipelines
• Solid SQL skills and hands-on Snowflake experience — you can write queries, validate data, and troubleshoot without engineering support for day-to-day tasks
• Comfort in client-facing settings: you can speak to data capabilities in a sales conversation and gather requirements from a non-technical marketing stakeholder in the same day
• Familiarity with AI-assisted data tooling for unstructured data extraction, schema mapping, or data normalization
• Familiarity with ETL tools (Fivetran, Funnel) and data pipeline concepts

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or other retirement plan
• Paid time off
• Equity or stock options
• Professional development opportunities
• Diversity and inclusion initiatives