Data Operations Lead, B2B

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Take charge of the complete data onboarding journey for B2B and Lead Generation clients, from initial scoping to integration validation and measurement readiness.

• Facilitate organized data intake sessions that encompass lead definitions, pipeline stage mapping, CRM field configurations, conversion logic, and attribution intricacies.

• Oversee the integrations of CRM, marketing automation, demand generation, call tracking, and form tracking.

• Process and standardize unstructured lead data utilizing AI-assisted schema mapping and data extraction when applicable.

• Verify integrations and pipeline data prior to transferring to analytics engineering.

• Keep client integration documentation up to date.

• Participate in sales calls and pitch meetings for B2B and Lead Generation prospects.

• Perform pre-signature data audits to determine custom data requirements and identify potential risks.

• Assess data complexity for deal pricing and create pre-sales data profiles.

• Assist the Measurement team in ensuring data readiness for Marketing Mix Modeling (MMM) programs.

• Prepare, reconcile, validate, and provide inputs focused on pipeline measurement models.

• Act as the subject matter expert for B2B and Lead Generation data regarding incrementality and attribution programs.

• Leverage AI technologies to improve and streamline business processes.

• Utilize Power Digital's Nova ecosystem.

⛳️ Requirements

• Exceptional proficiency in both spoken and written English.

• A minimum of 4 years of experience in data operations, marketing analytics, or marketing technology with direct client or stakeholder interactions.

• Extensive hands-on experience with B2B and Lead Generation data ecosystems, such as Salesforce, HubSpot, Marketo, Pardot, LinkedIn Ads, 6sense, and Demandbase.

• Experience in managing unstructured and non-standard lead data ingestion, including CSV imports, manual data entry reconciliation, screenshot-to-data workflows, and bespoke ingress pipelines.

• Strong SQL skills along with practical experience using Snowflake.

• Comfort in client-facing environments and engaging in sales discussions.

• Knowledge of AI-assisted data tools for unstructured data extraction, schema mapping, or data normalization.

• Familiarity with ETL tools like Fivetran and Funnel, as well as data pipeline concepts.

🏝️ Benefits

• Equal Opportunity Employer.

• Commitment to diversity and inclusion.

• No application, processing, or training fees.