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Functional Data Domain Lead – Investments
Ness Digital EngineeringUnited Statesfull_timeVerifiedPosted 8 Oct 2025
About the role
Role: Functional Data Domain Lead – InvestmentsLocation: Boston (Hybrid) The Functional Data Domain Lead – Investments will be responsible for driving the design, integration, and governance of investment data across the enterprise. This role will serve as the primary liaison between the Investment, Technology, and Data Engineering teams to ensure data integrity, accessibility, and alignment with strategic investment objectives. Key Responsibilities:
- Strong understanding of Investment data management and reporting processes
- Partner with Investment teams to understand their technology needs and challenges related to Investment data, analytics, and portfolio management
- Collaborate with IT team and architects to design, develop and implement technology solutions aligned with investment strategies
- Oversee the integration of investment data from various sources into a central platform for efficient analysis and reporting
- Stay up to date on emerging technologies relevant to Insurance Investments like machine learning, AI, cloud computing.
- Participate in the development of a technology roadmap to support future investment needs and growth
- Communicate project progress and status updates to stakeholders effectively
- Identify and manage project risks, develop mitigation plans and ensure project success
- Demonstrate excellent communication, presentation and interpersonal skills
- Possess strong analytical and problem-solving abilities to navigate complex financial situations
- Possess Hands-on experience with querying and analyzing data using SQL (or similar languages)
- Ability to manage multiple priorities and deadlines effectively
- Excellent communication and stakeholder management skills
- Having min 12+ years of relevant professional experience in investment data management
- Strong background in statistical analysis, machine learning, and data visualization
- Experience with data warehouse and business intelligence initiatives
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