Job Details

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Regular or Temporary: Regular

Language Fluency: English (Required)

Work Shift: 1st Shift (United States of America)

Please review the following job description:

In this senior leadership role, you will be strategic and highly impactful for CRC growth, with a focus on overseeing data management, governance, analytics, and strategy to drive business value. This leader will perform a key role in driving continuous improvement in analytics processes and methodologies for executive leadership. The ideal candidate is a visionary leader with a blend of data delivery and insurance expertise with the ability to drive innovation through data.

KEY RESPONSIBILITIES

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

• Strategic Leadership: Develop and implement a comprehensive data analytics strategy aligned with business objectives. Shape and execute a vision for leveraging data as a strategic asset to enhance operational efficiency, improve customer experience and achieve business goals. Act as a strategic advisor to the executive leadership team on data-driven decision making.
• Collaboration: Partner with IT, business units, and external stakeholders to align data initiatives with organizational goals.
• Analytics Strategy: Lead and drive the development of enterprise-wide analytics to uncover actionable insights, example increase broker productivity and sales performance by providing high quality data insights, unstructured data extractions, etc.
• Data Operations: Lead to ensure efficient data collection, storage, and access mechanisms within Azure Data Fabric, SSIS, and reporting tools such as SSR and Power BI.
• Technology Innovation: Identify emerging data technologies and trends to maintain competitive advantage with cost optimization.
• Data Infrastructure and Governance: Oversee the design and implementation of robust data infrastructure. Establish policies and frameworks for data integrity, security, and privacy.
• Regulatory Compliance: Lead to ensure all data practices comply with relevant laws and standards such as NYDFS, CCPA, NIAC Model Law, CFIUS, etc.
• Lead and guide to distributed team of data and analytics professionals.

EDUCATION AND EXPERIENCE

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Advanced degree in Data Science, Computer Science, Business Administration, Information Systems, Statistics, or a related field.
• 10+ years of experience in data management, analytics, or business intelligence, with at least 5 years in a leadership role.

CERTIFICATIONS, LICENSES, REGISTRATIONS

• Preferred certifications in data governance, analytics, or related fields, such as CDMP (Certified Data Management Professional) or DAMA certifications.

FUNCTIONAL SKILLS

• Proven success in developing and executing data strategies that align with business objectives.
• Experience with data governance frameworks and compliance regulations (e.g., NYDFS, CCPA, NIAC Model Law, CIFIUS, etc.).
• Hands-on experience with modern data technologies (e.g., Azure Cloud, Azure Data Factory, Azure Data Fabric, OpenAI, AI/ML tools).
• Strong background in data quality, data architecture, and data security.
• Ability to define and lead the enterprise data vision and strategy.
• Expertise in data management tools, cloud computing, AI, and machine learning.
• Familiarity with advanced analytics, predictive modeling, and data visualization platforms.
• Strong ability to use data insights to drive business decisions and create competitive advantages.
• Skilled in building business cases for data initiatives.
• Proven team leadership experience, with skills in mentoring and fostering collaboration.
• Ability to effectively communicate data-driven insights to non-technical stakeholders and C-suite executives.
• Innovative approach to solving complex business challenges using data.
• Passion for using data to transform decision-making and business outcomes.
• Define, operate and evolve the data organization.
• Ability to travel as needed.