Data Operations Lead, B2B
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Job Description
Data Operations Lead connecting B2B and Lead Gen marketing data to pipeline measurement at AI-native growth firm. Owning client onboarding, integrations, unstructured data ingestion, and pre-sales data 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 CRM, marketing automation, demand generation, call tracking, and form tracking integrations
- Ingest and normalize unstructured lead data using AI-assisted schema mapping and data extraction where applicable
- Validate integrations and pipeline data before handoff to analytics engineering
- Maintain client integration documentation
- Join sales calls and pitch meetings for B2B and Lead Gen prospects
- Conduct pre-signature data audits and identify custom data requirements and risks
- 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 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
Requirements:
- Advanced proficiency in spoken and written English
- 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
- Comfort in client-facing settings and sales conversations
- 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
Benefits:
- Equal Opportunity Employer
- Diversity and inclusion commitment
- No application, processing, or training fees
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