Data Operations Lead, B2B

Power Digital Marketing

. Own the end-to-end data onboarding experience for B2B and Lead Gen clients from scoping through integration validation and measurement readiness .

Posted 10/9/2026full-timeRemote • ColombiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing B2B and Lead Gen data onboarding processes, including data ingestion, validation, and integration across various platforms. Proficient in SQL and familiar with AI-assisted data tools to enhance data quality and operational efficiency.

Highest-signal resume keywords

B2B Data Ecosystem ExpertiseSQL ProficiencySalesforce ExperienceData Ingestion and NormalizationClient-Facing Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data OperationsMarketing AnalyticsData ValidationData Quality AuditsSchema MappingData ExtractionLead Data ManagementCustom Ingress PipelinesTroubleshootingData Pipeline Concepts

Soft Skills

Client-Facing SkillsCommunicationRequirements Gathering

Tools & Technologies

SalesforceHubSpotMarketoPardotLinkedIn Ads6senseDemandbaseFivetranFunnelPower Digital’s Nova

Industry Keywords

B2BLead GenerationData IntegrationAttributionMarketing TechnologyETL ToolsUnstructured Data

Tech Stack

Tools & technologies

ETLSQL

About the role

Key responsibilities & impact

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 across Salesforce, HubSpot, Marketo, Pardot, LinkedIn Ads, 6sense, Demandbase, CallRail, and Unbounce
Own ingestion and normalization of unstructured lead data sources using AI-assisted schema mapping and data extraction where applicable
Validate integrations and pipeline data before handoff to analytics engineering
Maintain integration documentation for each client
Join sales calls and pitch meetings for large B2B and Lead Gen prospects
Conduct pre-signature data audits and identify data quality, attribution, integration, and custom data requirements
Partner with the Appraisal team to scope data complexity into deal pricing and produce pre-sales data profiles
Support Measurement team data readiness requirements for B2B and Lead Gen 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

Requirements

What you’ll need

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
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

Comp & perks

Equal Opportunity Employer
Diversity and inclusion-focused workplace
AI-enabled tools and proprietary technology ecosystem (Omega, Iris, Nova) used to enhance work processes