Data Operations Lead, B2B
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Job Description
Data Operations Lead owning B2B and Lead Gen data onboarding for Power Digital, an AI-native growth firm. Supporting pre-sales, marketing measurement, CRM integrations, and pipeline attribution.
Responsibilities:
- Support the pre-sales process for large B2B and Lead Gen engagements
- Contribute to Power Digital’s marketing measurement programs
- Own the data onboarding and integration experience for B2B and Lead Gen clients post-signature
- 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
- Own ingestion and normalization of 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-specific integration documentation
- Join sales calls and pitch meetings and conduct pre-signature data audits
- Partner with the Appraisal team to scope data complexity into deal pricing and produce pre-sales data profiles
- Support data readiness for MMM, incrementality, and attribution programs
- Prepare, reconcile, validate, and deliver pipeline measurement data
- Employ AI technologies to enhance and optimize business processes
- Utilize Power Digital’s Nova ecosystem as it relates to the department
- Report to the Director of Data Operations & Enablement and collaborate with the Appraisal team, Measurement team, Analytics Engineering, and client account leads
Requirements:
- 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
Benefits:
- Equal Opportunity Employer
- People-first culture valuing diversity in backgrounds and experiences
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