Lead Software Development Engineer

The Team You Will Join

At MetLife, data isn’t just a tool - it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. We’re building the future of data - one that’s governed responsibly, engineered for scalability, and designed for growth. When you join us, you’re not just supporting the business - you’re empowering it. Let’s transform insight into impact and data into action, together.

Key Responsibilities

Work with business engagement leads, delivery leads, data scientists, visualization specialists to analyze the business problem, including designing key performance indicators (KPIs) and wireframes, and/or defining hypotheses for performing EDA. Analyze data sources, assess data, and work with business teams to develop data treatment and data aggregation rules and accordingly clean, treat, aggregate and prepare data. Develop and test Cognos Analytics, QlikView and Power BI scripts and/or develop and test machine learning models and/or perform exploratory data analysis, develop SQL queries and stored procedures to support the dashboards and validate queries written by colleagues, present results and insights to business stakeholders and drive consumption. Work with Data Engineers to automate / productionalize solutions. Manage, support and mentor new and established team members and review their work. Build high quality software by adhering to coding standards as well as to design standards. Promote reusability, develop IP/reusable components, and evangelize best practices across teams. Drive innovation through research, experimentation on new data/tools/techniques, and application of those learnings to solve existing and new problems. Share learnings and build awareness in the global data and analytics community.

Required Qualifications

Must have a Bachelor’s degree in Computer Science or Information Technology field (will accept foreign education equivalent, including 3-year degree) and eight (8) years of experience developing functional requirements for Business Intelligence (BI) and dashboard solutions and designing, building, and optimizing advanced dashboards and visual analytics in the field of data, analytics, machine learning, and/or BI. Alternatively, employer will accept a Master’s degree in Computer Science or Information Technology field (will accept foreign education equivalent, including 3-year degree) and six (6) years of experience developing functional requirements for Business Intelligence (BI) and dashboard solutions and designing, building, and optimizing advanced dashboards and visual analytics in the field of data, analytics, machine learning, and/or BI.

Position also requires: experience designing, developing, and optimizing secure, high performance dashboards across Qlik, Power BI, and Cognos, creating interactive visualizations and collaborating with business users to deliver clear, actionable insights; experience optimizing performance and scalability by tuning queries/models, improving refresh/load processes, resolving bottlenecks; experience designing, building, and maintaining analytical models and reusable BI semantic layers by translating business requirements into standardized metrics, conformed dimensions, and governed access controls to ensure data quality, lineage, and performance SLAs for enterprise reporting and self service dashboards; experience performing advanced SQL and query optimization, specifically with relational databases and/or big data environments; experience developing stored procedures for data extraction, transformation, and aggregation to support reporting and business intelligence solutions; and, experience providing technical leadership and oversight for BI development activities by establishing development standards, reviewing analytical and reporting solutions, and guiding the design and implementation of BI assets.

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 151,905.90 - 175,600.00. 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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