Job summary
Job post source
This job is directly from MetLife
Job overview
The AVP, Head of Data & Analytics for Pet Insurance at MetLife leads data and analytics efforts for the fastest growing pet insurance business, driving strategic initiatives and innovation within the company.
Responsibilities and impact
The role involves executive leadership, team development, delivering data and analytics initiatives, claims automation, data hub and reporting modernization, data science projects, governance, global team management, and proactive data-driven business transformation.
Experience and skills
Requires a Master's degree or equivalent in a quantitative field, 15+ years in data analytics leadership, 10+ years in pet, medical, or P&C insurance or similar financial services, expertise in advanced analytics, data science, OCR, NLP, LLMs, data engineering, governance, BI tools, and stakeholder management.
Career development
The role includes designing career development paths for high-potential talent and leading a global team, indicating strong growth and leadership opportunities within MetLife.
Work environment and culture
MetLife promotes a purpose-driven, inclusive culture with a client-centric approach and a hybrid work schedule requiring 3 days in office per week.
Company information
MetLife is a leading global financial services company with over 150 years of experience, recognized on multiple Fortune lists, managing $609.3 billion in assets, and operating in over 40 markets worldwide.
Team overview
The position is within the newly consolidated Data and Analytics organization supporting MetLife's U.S. business, working with a global team including U.S. and India-based employees and consulting resources.
Job location and travel
The job is based in Cary, NC; Bridgewater, NJ; or New York City with a hybrid work schedule and 10-20% travel required.
Unique job features
The role uniquely focuses on pet insurance data analytics, involving advanced AI techniques like OCR, NLP, LLMs, and building a new ontology for animal health claims, with a strategic leadership role in a rapidly growing business segment.
Company overview
MetLife, Inc. is a leading global provider of insurance, annuities, and employee benefit programs, serving over 90 million customers in more than 40 countries. Founded in 1868, the company generates revenue primarily through premiums, investment income, and fees from its diverse range of financial products. MetLife's significant milestones include its demutualization in 2000 and its acquisition of American Life Insurance Company (Alico) in 2010, which expanded its international footprint. The company is headquartered in New York City and is known for its strong brand presence and financial stability.
How to land this job
Tailor your resume to highlight leadership in data analytics, especially within insurance or financial services, emphasizing your experience with pet, medical, or P&C insurance to align with MetLife's Pet Insurance business.
Focus on showcasing your expertise in advanced analytics, statistical modeling, AI methodologies including OCR, NLP, LLMs, and ontology building, as these are key for the role's data science initiatives.
Apply through multiple channels such as MetLife's official corporate careers site, LinkedIn, and other job boards to maximize your application visibility for the AVP role.
Connect on LinkedIn with current employees in MetLife's Data & Analytics division or the Group Benefits business, initiating conversations by referencing MetLife's recent recognitions or expressing interest in their innovative use of AI in pet insurance analytics.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data governance,' 'data engineering,' 'machine learning,' 'OCR,' 'NLP,' 'pet insurance,' and 'stakeholder management' to ensure it passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored resume submissions, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your time on strategic networking and interview preparation.
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