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 documenting 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 sources, including CSV imports, manual spreadsheets, screenshot-based reporting, and custom ingress tooling
• Validate integrations and pipeline data before handoff to analytics engineering
• Maintain client integration documentation
• Join sales calls and pitch meetings for large B2B and Lead Gen prospects
• Conduct pre-signature data audits covering CRM setup, lead data quality, attribution methodology, and integration complexity
• 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 and reconcile lead volume, qualified pipeline, and closed revenue data for pipeline-focused measurement models
• 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
• Meet KPIs for client data coverage, onboarding SLAs, and unstructured data ingestion success

• Proficiency in spoken and written English at an advanced level 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 valuing diversity in backgrounds and experiences
• Use of AI technologies and Power Digital's Nova ecosystem to enhance and optimize business processes