Director, Advanced Analytics & Governance

Please note that we do not offer visa sponsorship for this position.

At National Life Group, our enterprise data and analytics practice is well established, and we are now focused on further evolving and maturing how we organize, govern, and unlock value from our data. To sustain that progress it is critical that we have timely, accurate, consistent and well-defined data throughout the organization. Success depends on strong commitment & collaboration from all areas of the organization, and the Advanced Analytics & Governance team within the Chief Data Office is central to advancing this work.

The Director, Advanced Analytics & Governance is a senior leadership role within the Chief Data Office responsible for driving the continued maturation of the organization’s analytics and reporting capabilities and for advancing enterprise-wide analytics standards. In this role, you 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 across the enterprise. You’ll operate at the intersection of business, analytics, and technology — bridging technical innovation in advanced analytics with robust data governance, privacy, and ethical standards.

As a senior leader on our data team, the Director, Advanced Analytics & Governance will set the strategy and oversee execution of analytics initiatives across the organization, building on an established foundation. Key responsibilities include:

• →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.

Obviously, we are looking for someone who loves data! Beyond that, a successful candidate will be a strategic leader who is energized by the work of further maturing and evolving an established analytics practice. They will also contribute to the culture of National Life – where servant leadership, company values & applying learnings to performance are valued above all else.

• 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
• 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

• Strategic Thinking: Ability to align technical capabilities with business outcomes.
• Leadership & Influence: Proven ability to lead without direct authority and influence at all levels.
• Communication: Exceptional ability to translate complex technical concepts into business language.
• Collaboration: Strong partnership-building skills across diverse stakeholder groups.
• Innovation Mindset: Passion for leveraging emerging technologies to solve business problems.
• Ethical Orientation: Deep commitment to responsible data and analytics practices.
• Results-Oriented: Demonstrated ability to deliver measurable business impact through analytics and governance.