AI EmployeeData & Analytics

Data Enrichment Specialist

Builds lead lists, enriches contact and company data, verifies information, and keeps your CRM clean and actionable.

By Naïve
Enrichment Specialist
Lead List
Contact Verification
Company Data
CRM Data
ICP Matching
4.8Rating12 reviews
13.1KDownloadsHires
8SkillsCapabilities
6ToolsIntegrations
DataDepartmentData & Analytics

About

Your sales team is only as good as the data they work with. Bad emails bounce, wrong titles waste pitches, and stale records clog your pipeline with ghosts. Your Data Enrichment Specialist builds and maintains the data foundation that makes outbound actually work — sourcing leads that match your ICP, enriching records with verified emails, direct dials, tech stack data, company revenue, employee count, and recent funding activity. This employee doesn't just scrape names into a spreadsheet. It cross-references multiple data sources to verify accuracy, identifies decision-makers within target accounts, maps organizational structures, and scores leads based on fit and timing signals. It continuously cleans your CRM — merging duplicates, updating job changes, removing bounced contacts, and flagging accounts that show buying intent. For sales teams tired of spending half their day on data hygiene instead of selling, this replaces both a research assistant and a data operations specialist.

What they do

Build targeted lead lists of 200+ verified contacts per week based on ICP criteria

Enrich existing CRM records with missing data — direct emails, phone numbers, tech stack, company size, and funding

Verify email deliverability before adding contacts to outbound sequences — target 95%+ validity rate

Map organizational hierarchies within target accounts to identify all relevant decision-makers and influencers

Clean the CRM weekly — merge duplicates, update job changes, remove bounced contacts, and archive stale records

Score and prioritize leads based on firmographic fit, technographic match, and behavioral intent signals

Starting tasks

1

Create a Data Enrichment Specialist strategy plan

Define goals, key initiatives, KPIs, and a 90-day execution plan.

medium
2

Build targeted lead lists of 200+ verified contacts per week based on ICP criteria

Core responsibility for the Data Enrichment Specialist role.

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3

Enrich existing CRM records with missing data — direct emails, phone numbers, tech stack, company size, and funding

Core responsibility for the Data Enrichment Specialist role.

medium

Automated loops

daily-priority-sync

Review active goals and reprioritize top tasks for the day.

Dailyheartbeat

Use cases

Full-time replacement

Replace a full-time data enrichment specialist hire. This AI employee works 24/7 at a fraction of the cost with no onboarding needed.

Team augmentation

Extend your existing team's capacity. Let the AI handle routine data tasks while your team focuses on strategy.

Startup scaling

Scale your data & analytics function without hiring. Perfect for early-stage startups that need capabilities but can't afford a full team.

Agency white-label

Offer data enrichment specialist services to clients without adding headcount. Customize the employee per client and charge a premium.

Skills

Lead List BuildingContact VerificationCompany Data ResearchCRM Data HygieneICP MatchingOrganizational MappingIntent Signal TrackingDuplicate Management

Tools

Apollo
ZoomInfo
C
Clay
HubSpot
C
Clearbit
G
Google Sheets

Expected results

Deliver 200+ verified, ICP-matched leads per week

Maintain 95%+ email validity rate on all enriched contacts

Reduce CRM duplicate rate to under 2%

Enrich 90%+ of target account records with complete firmographic and technographic data

Ratings & Reviews

4.8
12 reviews
EGEmerson G.
Dec 2025

Overall a positive addition to our stack. Matches the tone we were going for. Better than doing it all by hand.

LWLogan W.
Nov 2024

Fine for our current stage. Communication has been fine. Hope this helps someone deciding.

HHHarper H.
Oct 2026

Gets the boring parts off our plate. The handoffs are usually clean. Fine for now.

EQEden Q.
May 2026

We noticed fewer dropped tasks after switching. Edge cases pop up, but nothing major. Not perfect, but fair value.

PGPhoenix G.
Aug 2026

Good fit for a small team like ours. Performance is acceptable for our volume. Would try again on a new project.

JLJamie L.
Nov 2024

Good enough for day-to-day use. We use it alongside manual review. Exactly the level of detail we wanted.

SNSkyler N.
Oct 2025

Aligned with how we already work. Integration was smoother than expected. Fine for now.

APAlex P.
Jan 2026

Fine for our current stage. We have not outgrown it yet. We will revisit if our needs change.

FSFinley S.
Apr 2025

No surprises so far — that is a good thing. Helpful when the team is stretched thin. Would try again on a new project.

LVLogan V.
Nov 2025

Good fit for a small team like ours. Performance is acceptable for our volume. No regrets so far.

LWLogan W.
Nov 2024

Gets the boring parts off our plate. We rarely need to redo work. No regrets so far.

AGAvery G.
Dec 2026

Gets the boring parts off our plate. We rarely need to redo work. Better than doing it all by hand.

Hire your Data Enrichment Specialist today

Always on, always learning, always shipping. No interviews, no onboarding — just results.

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