Senior Lead Business Systems Analyst

The Team You Will Join

Join the nation’s largest non-medical carrier of group insurance, where your work will impact over 55,000 customers and cover more than 50 million employees and family members. As part of MetLife’s Group Benefits team, you’ll deliver innovative benefits solutions - life, disability, dental, vision, and voluntary benefits - tailored to today’s employers and workforces. Collaborate with customers, brokers, and partners to expand our offerings and reimagine digital experiences. Join us and be part of an organization committed to supporting customers when they need us most.

Key Responsibilities

Lead business initiatives using Data, Analytics, and AI. Lead the Data, Analytics and AI product development life cycle. Assist in problem identification, analysis and scope definition, solution design, development, testing, and deployment. Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data Science, DevOps, BI & insights).

Engage in open-ended discussions, analyze business challenges, and help develop clarity in ambiguous situations. Communicate, engage, and present use cases, solutions, and impact to business stakeholders and mid/senior management. Deliver analytics solutions on time, ensuring quality and business relevance. Institutionalize best practices, contribute to research, experimentation, and continuous improvement. Accelerate delivery through development of re-usable frameworks, prototypes, and agile approaches.

Provide team guidance, including mentoring, coaching, and supporting development of analytics talent.

Required Qualifications

Must have a Bachelor’s degree in Computer Science, Computer Engineering, Information Technology or related field (will accept foreign education equivalent) and fourteen (14) years of experience curating data and summarizing data required for multiple dashboards and models. Alternatively, employer will accept a Master's degree in Computer Science, Computer Engineering, Information Technology or related field (will accept foreign education equivalent) and ten (10) years of experience curating data and summarizing data required for multiple dashboards and models.

Position also requires: experience applying statistical and machine learning techniques to assist the creation, efficiency, and efficacy of machine language models; experience working with large and diverse datasets: internal, external, structured, and unstructured; experience leading mid-sized data and analytics teams; experience deploying AI, including documenting and communicating technical solutions; experience driving data and analytics initiatives and supporting digital transformation projects; and experience deploying Agile delivery methodologies for solution delivery, including creating features for business requirements.

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

The expected salary range for this position is $148,366 - $155,400. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.

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