Data Operations Lead, B2B
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Job Description
B2B data operations lead at Power Digital, an AI-native growth firm helping brands scale through technology and marketing expertise. Owning client data onboarding, pipeline integrations, measurement readiness, and pre-sales support.
Responsibilities:
- 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, including CRM connectors, marketing automation integrations, demand generation platforms, and call/form tracking tools
- Own ingestion and normalization of unstructured lead data from CSV imports, manual spreadsheets, screenshots, 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 and identify custom data requirements and risks
- Partner with the Appraisal team to scope data complexity into deal pricing and effort estimates
- Produce pre-sales data profiles
- Support Measurement team data readiness for MMM programs
- Prepare, reconcile, validate, and deliver pipeline-focused measurement model inputs
- 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
Requirements:
- Advanced proficiency in spoken and written English 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
- 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 with data pipeline concepts
Benefits:
- Equal Opportunity Employer
- People-first culture valuing diversity and inclusion
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