Ness Digital Engineering · 1 month ago
Functional Data Domain Lead – Insurance
Ness Digital Engineering is a full lifecycle digital engineering firm that offers digital advisory through scaled engineering services. The Functional Data Domain Lead – Insurance will oversee the design, governance, and enablement of high-quality insurance data across the enterprise, collaborating with various teams to ensure data accuracy and compliance for analytics and decision-making.
AppsBusiness DevelopmentCloud Data ServicesConsultingInformation TechnologySoftware
Responsibilities
Lead and manage end-to-end insurance data management processes, ensuring data integrity, accessibility, and compliance with organizational and regulatory standards
Partner with Insurance, Actuarial, and Finance teams to understand data needs, pain points, and use cases across the insurance value chain
Collaborate with IT, Data Engineering, and Architecture teams to design and implement scalable data solutions aligned with business strategies
Define and implement data standards, governance policies, and quality frameworks for insurance data domains
Contribute to the development of a technology and data roadmap that supports future insurance business capabilities, reporting, and analytics needs
Partner with analytics and reporting teams to enable business insights and ensure consistent metric definitions across products and lines of business
Stay informed on emerging technologies and best practices in insurance data management, including AI, predictive analytics, and cloud-based platforms
Communicate effectively with business and technology stakeholders on project progress, milestones, risks, and dependencies
Demonstrate strong analytical and problem-solving skills to interpret complex insurance data and drive data-driven decision-making
Manage competing priorities and deliver results in a dynamic and evolving business environment
Act as a domain expert, advising on product features, riders, pricing reserves, financial reporting and hedging strategies
Possess hands-on experience with querying and analyzing data using SQL (or equivalent query languages) to explore, validate, and troubleshoot data issues independently
Excellent communication and stakeholder management skills
Minimum of 12+ years of relevant professional experience in insurance data management
Qualification
Required
Lead and manage end-to-end insurance data management processes, ensuring data integrity, accessibility, and compliance with organizational and regulatory standards
Partner with Insurance, Actuarial, and Finance teams to understand data needs, pain points, and use cases across the insurance value chain
Collaborate with IT, Data Engineering, and Architecture teams to design and implement scalable data solutions aligned with business strategies
Define and implement data standards, governance policies, and quality frameworks for insurance data domains
Contribute to the development of a technology and data roadmap that supports future insurance business capabilities, reporting, and analytics needs
Partner with analytics and reporting teams to enable business insights and ensure consistent metric definitions across products and lines of business
Stay informed on emerging technologies and best practices in insurance data management, including AI, predictive analytics, and cloud-based platforms
Communicate effectively with business and technology stakeholders on project progress, milestones, risks, and dependencies
Demonstrate strong analytical and problem-solving skills to interpret complex insurance data and drive data-driven decision-making
Manage competing priorities and deliver results in a dynamic and evolving business environment
Act as a domain expert, advising on product features, riders, pricing reserves, financial reporting and hedging strategies
Possess hands-on experience with querying and analyzing data using SQL (or equivalent query languages) to explore, validate, and troubleshoot data issues independently
Excellent communication and stakeholder management skills
Minimum of 12+ years of relevant professional experience in insurance data management
Preferred
Strong background in statistical analysis, machine learning, and data visualization
Experience with data warehouse and business intelligence initiatives
Experience with core insurance systems such as MG-ALFA
Experience with regulatory and statutory reporting requirements (STAT, GAAP, IFRS, etc.)
Company
Ness Digital Engineering
Digital Engineering provides information technology and business planning services in North America, Latin America and Europe.
H1B Sponsorship
Ness Digital Engineering has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (29)
2024 (47)
2023 (39)
2022 (87)
2021 (101)
2020 (165)
Funding
Current Stage
Public CompanyTotal Funding
unknown2022-10-27Acquired
2004-09-29IPO
Leadership Team
Recent News
News - StartUp Beat
2025-09-01
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