Director, Data Acquisition

For this role, we are recruiting in the following U.S. locations:
Washington, Oregon, Arizona, Nevada, or Boston, MA. We are also open to candidates based in Santiago, Chile.

If you are applying from Chile, please include an English-language résumé with your application.

This role will lead the data acquisition operations for the Resource Data Management (RDM) business, driving innovation through automation and AI while ensuring exceptional service delivery. Situated in Operations, the role is integral in setting the data acquisition strategy, directing the teams, and collaborating cross‑functionally to optimize processes, improve data quality, and support RDM’s broader strategic objectives.

• Play an integral role in defining and executing the electronic data acquisition strategy, driving the transition from manual to automated, system‑driven data ingestion models and continuously improving processes with a focus on efficiency, accuracy, scalability, and AI/automation tools.
• Partner closely with Product, Data, Innovation (PDI), and Digital teams to prioritize and deliver a technology‑forward roadmap that advances electronic data acquisition, reduces manual touchpoints, and improves end‑to‑end data flow and reliability.
• Lead the transformation of operational systems, workflows, and governance to support RDM’s strategic objectives, with a strong emphasis on business process automation, digital reporting, and scalable operating models.
• Provide leadership oversight for data acquisition teams across electronic ingestion and residual manual operations, setting clear performance expectations while actively reducing dependency on manual data entry and mail‑based processes over time.
• Mentor and develop managers with a focus on change leadership, building capability in automation adoption, data quality management, and modern data operations practices.
• Contribute to RDM‑specific business continuity and disaster recovery planning, emphasizing system resilience, redundancy, and automation‑enabled recovery within the enterprise risk management framework.
• Collaborate with offshore operations leaders to ensure global data acquisition activities are optimized for digital‑first execution, with consistent quality standards, automation adoption, and performance management across regions.
• Work with business SMEs to conduct data quality audits, define and monitor KPIs, and drive continuous improvement in electronically sourced data accuracy, timeliness, and reliability.
• Act as a key liaison between Client Management, Sales, Product, and Operations to translate evolving client requirements into scalable electronic data acquisition solutions, minimizing custom manual workarounds.

• Education/ Certifications/ Experience
  • Bachelor’s Degree required in Operations, Business, Technology, or a related field.
  • Master’s Degree preferred in Operations, Business, Technology, or a related field.
  • 7+ years relevant experience with data acquisition, data management, or operations within financial services, data processing, or a related industry.
  • 3+ years of senior leadership experience leading large teams; experience leading global teams is preferred.
  • Demonstrated success collaborating with cross‑functional teams (e.g., Product, Digital) on strategic initiatives.
  • Proven experience setting data acquisition strategy for the company, driving operational efficiency and implementing automation or AI.

• Strong verbal, written and interpersonal skills.
• Experience with Microsoft Office suite of products.
• Familiarity with systems such as Salesforce, ADP, and other internal transversal process systems.
• Excellent problem‑solving and communication skills, with the ability to drive data‑driven decision‑making.
• Strong leadership and team management skills, with experience leading operational teams responsible for data processing.
• Deep understanding of regulatory compliance in financial data acquisition (e.g., SEC, FINRA, GDPR).
• Proven track record in managing both manual data entry teams and automated data acquisition processes.
• Knowledge of cloud‑based data solutions, ETL pipelines, APIs, and…