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Functional Data Domain Lead - Investments

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Functional Data Domain Lead - Investments

10/15/2025

Contract

Active

Job Description:

Job Summary

We are seeking a seasoned Functional Data Domain Lead – Investments to drive the design, integration, and governance of investment data across the enterprise.

This role will act as a strategic liaison between Investment, Technology, and Data Engineering teams to ensure data integrity, accessibility, and alignment with investment objectives.

Key Responsibilities
  • Lead investment data management and reporting initiatives across the organization.
  • Partner with Investment teams to understand data, analytics, and portfolio management needs.
  • Collaborate with IT and architecture teams to design and implement technology solutions aligned with investment strategies.
  • Oversee integration of investment data from multiple sources into centralized platforms for analysis and reporting.
  • Stay informed on emerging technologies relevant to insurance investments, including AI, machine learning, and cloud computing.
  • Contribute to the development of a technology roadmap supporting future investment growth.
  • Communicate project progress and updates to stakeholders effectively.
  • Identify and manage project risks, develop mitigation strategies, and ensure successful delivery.
  • Manage multiple priorities and deadlines in a dynamic environment.
Required Qualifications
  • Minimum 12+ years of professional experience in investment data management.
  • Strong background in statistical analysis, machine learning, and data visualization.
  • Experience with data warehouse and business intelligence initiatives.
  • Hands-on experience with querying and analyzing data using SQL or similar languages.
  • Excellent communication, stakeholder management, and presentation skills.
  • Strong analytical and problem-solving abilities in complex financial environments.
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