Data Operations Lead, B2B

• Own the end-to-end data onboarding experience for B2B and Lead Gen clients from scoping through integration validation and measurement readiness
• Lead structured data intake sessions covering lead definitions, pipeline stage mapping, CRM field configuration, conversion logic, and attribution nuances
• Coordinate B2B and Lead Gen data pipelines across Salesforce, HubSpot, Marketo, Pardot, LinkedIn Ads, 6sense, Demandbase, CallRail, and Unbounce
• Own ingestion and normalization of unstructured lead data from CSV imports, manual spreadsheets, screenshot-based reporting, and custom ingress tooling
• Validate integrations and pipeline data before handoff to analytics engineering
• Maintain living client integration documentation
• Join sales calls and pitch meetings for large B2B and Lead Gen prospects
• Conduct pre-signature data audits and identify custom data requirements, integration complexity, and risks
• Partner with the Appraisal team to scope data complexity into deal pricing and produce pre-sales data profiles
• Support Measurement team data readiness for MMM programs
• Prepare, reconcile, validate, and deliver pipeline-focused measurement data
• Serve as the B2B and Lead Gen data subject matter expert for incrementality and attribution programs
• Employ AI technologies to enhance and optimize business processes
• Utilize Power Digital’s Nova ecosystem as it relates to the department

• Advanced proficiency in spoken and written English is required
• 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, including Salesforce, HubSpot, Marketo, Pardot, LinkedIn Ads, 6sense, and Demandbase
• Proven experience handling unstructured and non-standard lead data ingestion, including CSV imports, manual data entry reconciliation, screenshot-to-data workflows, and custom ingress pipelines
• Solid SQL skills and hands-on Snowflake experience
• Ability to write queries, validate data, and troubleshoot without engineering support for day-to-day tasks
• Comfort in client-facing settings, including sales conversations and requirements gathering from non-technical marketing stakeholders
• Familiarity with AI-assisted data tooling for unstructured data extraction, schema mapping, or data normalization
• Familiarity with ETL tools such as Fivetran and Funnel and data pipeline concepts

• Equal Opportunity Employer
• People-first culture emphasizing diversity, inclusion, and employees' different strengths, experiences, and backgrounds