Head of Data Management (VP Level)
Apply NowCompany: Futran Tech Solutions Pvt. Ltd.
Location: Iselin, NJ 08830
Description:
Head of Data Management (VP Level)
Key Responsibilities
Strategic Leadership
Develop and execute the enterprise-wide data management strategy aligned with organizational goals and regulatory requirements.
Champion a data-driven culture, fostering collaboration across underwriting, claims, actuarial, and operational teams.
Partner with senior leadership to identify and prioritize data initiatives that drive competitive advantage and growth.
Data Governance and Compliance
Establish robust data governance frameworks, ensuring data accuracy, consistency, and security across the organization.
Oversee compliance with data privacy laws, industry standards, and regulatory requirements (e.g., NAIC, GDPR).
Lead efforts to mitigate data risks, including data breaches and misuse.
Data Architecture and Management
Define and oversee the data architecture, ensuring scalable, efficient, and modern solutions for data storage, integration, and analytics.
Manage master data, metadata, and reference data processes to support operational excellence.
Drive the adoption of advanced data platforms, cloud technologies, and tools to optimize data management practices.
Analytics and Insights
Collaborate with data science, actuarial, and analytics teams to deliver actionable insights that enhance underwriting, pricing, claims, and customer experience.
Promote innovative uses of data to improve risk assessment, fraud detection, and predictive modeling.
Team Leadership
Build and lead a high-performing data management team, fostering professional development and technical expertise.
Drive cross-functional collaboration to maximize the impact of data initiatives.
Key Responsibilities
Strategic Leadership
Develop and execute the enterprise-wide data management strategy aligned with organizational goals and regulatory requirements.
Champion a data-driven culture, fostering collaboration across underwriting, claims, actuarial, and operational teams.
Partner with senior leadership to identify and prioritize data initiatives that drive competitive advantage and growth.
Data Governance and Compliance
Establish robust data governance frameworks, ensuring data accuracy, consistency, and security across the organization.
Oversee compliance with data privacy laws, industry standards, and regulatory requirements (e.g., NAIC, GDPR).
Lead efforts to mitigate data risks, including data breaches and misuse.
Data Architecture and Management
Define and oversee the data architecture, ensuring scalable, efficient, and modern solutions for data storage, integration, and analytics.
Manage master data, metadata, and reference data processes to support operational excellence.
Drive the adoption of advanced data platforms, cloud technologies, and tools to optimize data management practices.
Analytics and Insights
Collaborate with data science, actuarial, and analytics teams to deliver actionable insights that enhance underwriting, pricing, claims, and customer experience.
Promote innovative uses of data to improve risk assessment, fraud detection, and predictive modeling.
Team Leadership
Build and lead a high-performing data management team, fostering professional development and technical expertise.
Drive cross-functional collaboration to maximize the impact of data initiatives.