Director, Advanced Analytics & Governance

National Life Insurance Company•Montpelier, VT

2d•Onsite

About The Position

National Life Group is seeking a Director, Advanced Analytics & Governance to join their Chief Data Office. This senior leadership role is responsible for maturing the organization's analytics and reporting capabilities and advancing enterprise-wide analytics standards. The Director will lead a team of data analysts, analytics engineers, reporting governance specialists, and data stewards to deliver high-impact solutions while ensuring data is trusted, secure, compliant, and governed effectively. The role operates at the intersection of business, analytics, and technology, bridging technical innovation with robust data governance, privacy, and ethical standards. The position requires a strategic leader who is energized by evolving an established analytics practice and contributing to the company's culture of servant leadership and values.

Requirements

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Information Systems, Analytics, or a related quantitative field
10+ years of progressive experience in data analytics, data science, or data governance, with at least 5+ years in a leadership role
Proven track record of advancing and scaling advanced analytics capabilities in a complex organization
Strong experience refining and operating enterprise analytics governance programs, including data quality, metadata, and compliance frameworks
Analytical mindset with the ability to navigate ambiguity in decision making and to translate complex technical concepts into business language

Nice To Haves

Deep expertise in modern data platforms (cloud, Databricks, Snowflake, etc.) is preferred
Strong knowledge of programming languages such as Python, R, and SQL, and big data technologies (Spark, Hadoop, etc.) is preferred
Experience with MLOps, model lifecycle management, data cataloging, lineage, and quality management platforms is preferred
Familiarity with cloud platforms (AWS, Azure, GCP) and modern data architectures is preferred
Experience working in a Chief Data Office (CDO) or similar central data organization is preferred
Industry experience in Life Insurance is preferred
Certifications such as CDMP (Certified Data Management Professional), DAMA, or analytics governance certifications are preferred

Responsibilities

Evolve and execute the enterprise strategy for advanced analytics and reporting governance in alignment with the overall CDO vision and business objectives.
Lead the design, development, and deployment of advanced analytics solutions — including predictive modeling, machine learning, deep learning, and optimization — and oversee the end-to-end analytics lifecycle from problem framing through model deployment and monitoring.
Mature and scale the enterprise analytics platform and self-service analytics environment to empower business users while maintaining governance controls.
Oversee production support and administration of the data analytics systems, ensuring reliability, availability, and operational excellence across the environment.
Continuously refine and strengthen the enterprise analytics governance framework, including policies, standards, quality metrics, SLAs, metadata management, and remediation processes.
Lead reporting stewardship programs and ensure clear ownership and accountability across business and technology teams; oversee compliance with data-related regulations (GDPR, CCPA/CPRA, HIPAA, etc.) and internal policies for privacy, security, and ethical data usage.
Build, mentor, and lead the Business Informatics team, manage talent acquisition, performance management, career development, and succession planning.
Partner with business leaders, IT, and other CDO functions to identify high-value use cases where advanced analytics can drive revenue, efficiency, customer experience, or risk mitigation.
Act as a trusted advisor to the CDO and executive leadership; present complex analytics findings and governance strategies to senior executives and non-technical stakeholders in clear, actionable terms.
Evaluate and recommend analytics and governance tools and technologies (e.g., Tableau, Power BI, Databricks) and drive adoption of modern analytics and reporting architectures leveraging the enterprise data platform.
Champion a data-driven culture by deepening adoption of analytics insights and governed data assets across the organization.