The Senior Product Lead will design and implement data and analytics solutions manage cross-functional partnerships and develop scalable AI-enabled solutions for enterprise transformations.

Description and Requirements
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. Your skills in AI predictive modeling and advanced analytics will help solve complex challenges scale solutions globally and fuel innovation across every region. 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.
The Opportunity
The Lead Data Solutions Architect is responsible for defining shaping and scaling enterprise data and analytics solutions that enable business process reengineering (BPR) and platform modernization ensuring data is treated as a strategic enterprise asset across MetLife's Corporate Functions in the United States.
Guided by our purpose - always with you building a more confident future - and MetLife's New Frontier strategy focused on stronger growth attractive returns and all-weather performance this is an exciting opportunity to design data-driven solutions that power contract lifecycle management actuarial and other enterprise transformations. In this role you will translate future-state process designs into scalable governed data architectures and analytics capabilities-enabling transparency operational insight compliance and enterprise reporting aligned to MetLife standards.
Key Responsibilities

• Lead enterprise data and analytics solution design supporting BPR initiatives ensuring alignment to future-state process designs and business outcomes
• Create end-to-end data metadata analytics and reporting architectures by translating business process artifacts and platform decisions into clear technical requirements
• Oversee data standardization efforts including enterprise-critical data elements metadata definitions and analytics use cases across the full lifecycle of contracts and related domains
• Manage cross-functional partnerships with Legal Procurement Finance Reinsurance Actuarial Technology and CLM platform teams to ensure data and analytics are embedded into system and process designs
• Develop scalable cloud-native data solutions and AI-enabled use cases that support operational visibility compliance monitoring risk management and enterprise reporting

Required Qualifications

• 8+ years of overall related experience.
• Bachelor's degree in data management computer science data science or a related field with demonstrated application to enterprise-scale data and analytics solution delivery.
• Modern data platforms and architecture experience (e.g. Azure Lakehouse or data mesh patterns batch and streaming ingestion) applied to large-scale cloud-native solutions.
• Strong solution architecture and translation skills with the ability to convert complex business process redesign into actionable data strategies and technical roadmaps.
• Proven stakeholder influence and communication capability effectively partnering with senior business and technology leaders in matrixed environments and experience working in agile or hybrid delivery models across multiteam multi-year enterprise initiatives.

Preferred Qualifications

• 7+ years of experience designing or delivering enterprise data analytics or data product solutions in complex organizations

• Experience with Contract Lifecycle Management Legal Operations Procurement or document-intensive domains including contract data models metadata and analytics/reporting solutions
• Background in regulated or risk-sensitive environments such as insurance or financial services with exposure to data governance quality and control standards.
• Understanding and knowledge of GenAI and Machine Learning.

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 $110000 - $159800. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.
Benefits We Offer
Our U.S. benefits address holistic well-being with programs for physical and mental health financial wellness and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision dental insurance and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services a retirement pension funded entirely by MetLife and 401(k) with employer matching group discounts on voluntary insurance products including auto and home pet critical illness hospital indemnity and accident insurance as well as Employee Assistance Program (EAP) and digital mental health programs parental leave paid time off paid holidays volunteer time off tuition assistance and much more!
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" Fortune World's 25 Best Workplaces™ as well as the Fortune 100 Best Companies to Work For® MetLife through its subsidiaries and affiliates is one of the world's leading financial services companies; providing insurance annuities employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets we hold leading positions in the United States Latin America Asia Europe and the Middle East.
Our purpose is simple - to help our colleagues customers communities and the world at large create a more confident future. United by purpose and guided by our core values - Win Together Do the Right Thing Deliver Impact Over Activity and Think Ahead - we're inspired to transform the next century in financial services. At MetLife it's #AllTogetherPossible . Join us!
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race color national origin religion creed sex (including pregnancy childbirth or related medical conditions) sexual orientation gender identity or expression age disability marital or domestic/civil partnership status genetic information citizenship status (although applicants and employees must be legally authorized to work in the United States) uniformed service member or veteran status or any other characteristic protected by applicable federal state or local law ("protected characteristics").
If you need an accommodation due to a disability please email us at [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
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