Remote Director of Data Acquisition & Asset Growth

Datassential; United States; Remote; USD 150,000 - 170,000; Full time

Benefits offered by this job

Equity

Performance bonus

Health insurance (US)

401K with match

Unlimited PTO

Remote stipend

Parental leave

Job summary

Datassential, a Chicago-based global data and insights leader, seeks a Director, Data Acquisition to steer sourcing, ingestion, and governance of data for our AI-powered platform. You’ll manage internal scraping operations and negotiate with third‑party providers, aligning data strategies with product and revenue goals.

You will lead a cross‑functional team, define cost models, track budgets, and ensure data quality and timeliness.

Qualifications

• 10+ years of experience in data acquisition, data operations, data vendor management, or related data management function; 5+ years leading a team.
• Proven track record sourcing, evaluating, and onboarding third‑party data providers, with licensing/usage negotiation.
• Experience managing budgets or cost centers: forecasting, tracking, variance reporting.

Responsibilities

• Lead data asset growth through proprietary data strategies and new sources.
• Oversee onboarding of third‑party data sources and negotiate favorable terms.
• Coordinate data collection and ingestion with Engineering and Data Operations teams.
• Manage data vendor relationships, ensure downstream usage compliance, and drive data quality improvements.
• Guide budget planning and cost tracking for data acquisition.

Skills

Data acquisition leadership

Vendor management

Budget management

Make‑vs‑buy framework

Negotiation

Cross‑functional collaboration

Data quality KPIs

Hands‑on data analysis

AI/data automation awareness

Stakeholder management

Communication

Tools

SQL

ETL pipelines

Alteryx

APIs

Job description

Datassential, a Chicago-based global data and insights leader, seeks a Director, Data Acquisition to steer sourcing, ingestion, and governance of data for our AI-powered platform. You’ll manage internal scraping operations and negotiate with third‑party providers, aligning data strategies with product and revenue goals.

You will lead a cross‑functional team, define cost models, track budgets, and ensure data quality and timeliness.