VP Group Level Data and Analytics

About the Role

Key Responsibilities

• Serve as a vital member of the extended leadership teams for the sales leaders, participating in strategic planning and goal setting.
• Support the national and regional accounts teams with data engineering, modeling, reporting, and analytics, including migrating data from legacy platforms.
• Build a data ecosystem for eligibility data from employers that interacts with existing data hubs and master data management platforms, providing relevant data and analytics to various teams.
• Support and expand the complex data ecosystem for billing data and extensive billing-related reporting for employers, brokers, and finance teams.
• Lead the cultural shift from a traditional technology-focused data team to a business-outcome-driven mindset, developing training programs and redesigning performance metrics.
• Co-develop and execute the data and analytics roadmap aligned with business objectives and enterprise data strategy.
• Support the business area in creating an industry-leading employee experience through data and analytics solutions for benefits engagement and transparency.
• Support growth initiatives across all product lines within the Group benefits business.
• Maintain and improve standard and custom reports for various customers.
• Direct the evolution of data platforms for claims, customers, policies, employer plans, and external data partnerships.
• Design and execute analytics solutions that deliver meaningful business outcomes in collaboration with stakeholders.
• Establish governance frameworks for data modeling, metadata, data quality, and regulatory compliance, and create data community leaders.
• Manage a global team across U.S. and India-based employees and consulting resources, driving culture and performance standards.
• Proactively identify and propose data-driven solutions to business challenges, transforming the analytics organization into a strategic partner.

Requirements

• Master's degree in Computer Science or related quantitative field; B.S. with continuing education may be considered equivalent.
• 15+ years of progressive experience in data analytics leadership.
• 10+ years of experience in group benefits or similar B2B2C financial services.
• Demonstrated expertise in marketing data and analytics.
• Experience with employee benefits plans is a plus.
• Proficiency in designing and creating data hubs, including data ingestion, engineering, APIs, and large-scale reporting.
• Expertise in data engineering, data governance, Data/ML Ops, and proficiency in SQL.
• Experience with Business Intelligence tools such as Tableau or PowerBI.
• Salesforce expertise.
• Experience with Hadoop and MS Azure is a plus.
• Proven track record of leading analytics teams and delivering business value through data solutions.
• Excellent stakeholder management and executive communication skills.
• Understanding of legacy insurance platforms and modernization initiatives.
• Knowledge of HIPAA and other consumer data regulations.

Nice to Have

• Experience with employee benefits plans.
• Experience with Hadoop and MS Azure.

Qualifications

• Educational background as specified in requirements (Master's or B.S. with continuing education).

Benefits & Perks

• Comprehensive health plans including medical, prescription, vision, and dental insurance.
• No-cost short- and long-term disability coverage.
• Company-paid life insurance and legal services.
• Retirement pension funded by MetLife and 401(k) with employer matching.
• Group discounts on voluntary insurance products such as auto, home, pet, critical illness, hospital indemnity, and accident insurance.
• Employee Assistance Program (EAP) and digital mental health programs.
• Parental leave, volunteer time off, tuition assistance, and more.