Data and Research Manager

Return Assets Division- Lauth Investigations International, Inc.

Philippines

On-site

PHP 447,000 - 535,000

Full time

7 days ago
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Benefits offered by this job

Performance incentive
Monthly salary

Job summary

Lauth Investigations' Asset Recovery Division is hiring a Data & Research Manager to run the engine behind our outreach funnel. This highly specialized front-end research and data role pulls state asset lists, coordinates with batch data vendors, and organizes information for use across mailer, call center, and digital outreach channels driving cash flow.

You will maintain data accuracy, apply OSINT and AI-assisted search to locate public profiles, and ensure lists are segmented for

Qualifications

  • Experience with data extraction, cleaning, and organization (Excel/Sheets required; SQL a plus).
  • Familiarity with skip-tracing or batch data vendor platforms.
  • Comfort with OSINT / AI-assisted research tools for public profile discovery.
  • Highly detail-oriented, comfortable owning a recurring monthly production cycle.
  • Prior experience in asset recovery, skip tracing, marketing operations, or data research strongly preferred.

Responsibilities

  • Extract and maintain state-level unclaimed property / asset lists from public sources.
  • Request and manage data batching with third-party batch/skip-trace vendors to append current contact information.
  • Silo and organize processed lists into clean, ready-to-use segments for the outreach funnel.
  • Execute monthly production cycles aligned with management review and sign-off (first-of-month workflow).
  • Use AI-assisted search to identify public Facebook and LinkedIn profile links for outreach targets.
  • Coordinate multi-channel outbound sequencing mailer, call center (CCC), and social notifications so each lead is reached across channels in a tight window.
  • Track reach and response data across channels to help optimize funnel performance and cash flow per cycle.

Skills

Data extraction
Excel/Sheets
SQL
OSINT / AI-assisted research tools
Skip-tracing / data vendors
Attention to detail

Tools

Batch data vendors platforms
AI-assisted search tools

Job description

Lauth Investigations' Asset Recovery Division is hiring a Data & Research Manager to run the engine behind our outreach funnel. This is a highly specialized, front-end research and data role: you'll pull state asset lists, coordinate with batch data vendors, and organize information for use across mailer, call center, and digital outreach channels directly driving cash flow for the division.

What You'll Do
  • Extract and maintain state-level unclaimed property / asset lists from public sources
  • Request and manage data batching with third-party batch/skip-trace vendors to append current contact information
  • Silo and organize processed lists into clean, ready-to-use segments for the outreach funnel
  • Execute monthly production cycles aligned with management review and sign-off (first-of-month workflow)
  • Use AI-assisted search to identify public Facebook and LinkedIn profile links for outreach targets
  • Coordinate multi-channel outbound sequencing mailer, call center (CCC), and social notifications so each lead is reached across channels in a tight window
  • Track reach and response data across channels to help optimize funnel performance and cash flow per cycle
Requirements

What We're Looking For

  • Experience with data extraction, cleaning, and organization (Excel/Sheets required; SQL a plus)
  • Familiarity with skip-tracing or batch data vendor platforms
  • Comfort with OSINT / AI-assisted research tools for public profile discovery
  • Highly detail-oriented, comfortable owning a recurring monthly production cycle
  • Discretion and sound judgment handling personal and financial-adjacent data
  • Prior experience in asset recovery, skip tracing, marketing operations, or data research strongly preferred
Benefits

Compensation

$700 a month, depending on experience, plus a performance incentive tied to funnel output (e.g., lists processed / leads delivered per cycle).

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