MetLife

【Job Description】

We are looking for a Director, Data & Analytics with a track record of driving AI initiatives, leveraging data platforms, and delivering business value at enterprise scale. To be successful in this role, the candidate would require a balance of technical thought leadership and deep expertise across the data science and AI lifecycle, including statistical/ML modeling, GenAI, and responsible AI deployment.

The mission of this role is to lead business transformation using Data, Analytics, and AI, from problem identification and strategy through production-grade solution delivery, ensuring transformational impact to the enterprise.

Success in this role requires strong leadership, communication, and stakeholder engagement skills, with an emphasis on interaction with executive and senior management, business partners, and technical teams. This role will collaborate closely with business and technology partners to co-create solutions, navigate ambiguity, and develop clarity across complex initiatives.

The Director, Data & Analytics will manage team performance, foster career development, and oversee resource allocation. Besides contributing in an individual capacity, this role leads and develops Data & Analytics talent. Ultimately, you are responsible for building a high-performing team that delivers production-grade AI and analytics solutions through best practices, reusable frameworks, and a culture of experimentation.

【Responsibilities】

• Drive business transformation using Data, Analytics, and AI.
• Lead all stages of the Data, Analytics & AI product development lifecycle: from problem identification, conceptualization, and prioritization to solution development and delivery.
• Solve complex business problems using data and advanced technologies.
• Develop Data & Analytics roadmaps and deliver solutions with transformational impact to the enterprise.
• Communicate, engage, and present roadmaps, use cases, solutions, and impact to executive/senior management.
• Collaborate with internal cross-functional teams (e.g., Product, Marketing, Sales, Data Platform/Engineering, IT, Compliance, Risk, Privacy) and business partners to co-create solutions, align priorities, manage dependencies, and remove blockers.
• Ensure responsible deployment of data and analytics solutions, navigating regulatory and compliance requirements in the context of AI/analytics.
• Institutionalize best practices; contribute to research and experimentation efforts.
• Accelerate solution delivery using reusable frameworks, prototypes, and hackathons.
• Document and communicate technical solutions effectively to both technical and non-technical audiences.
• People leadership: talent acquisition, coaching, mentoring, and developing the team.
• Performs other duties as assigned or required.

【Required Qualifications】

• Master's degree in computer science, information technology, or equivalent educational qualification.
• 12+ years of relevant experience in data science, analytics, or AI with delivered business results.
• Proven record in driving data & analytics / digital transformation in large organizations.
• Proven track record of building, scaling, and managing high-performing analytics teams, including coaching and developing leaders (e.g., Lead Data Scientists who manage people).
• Strong experience across traditional and modern statistical and machine learning techniques.
• Experience working with large and complex internal, external, structured, and unstructured datasets.
• Exposure to AI/ML techniques such as GenAI, foundational models, and LLMs.
• Familiarity with MLOps, AIOps, Generative AI, Ethical AI, and cloud platforms (Azure, AWS, GCP).
• Awareness of Data Management, Data Engineering, Data Governance, Data Operations, and cloud-based data solutions.
• Experience navigating regulatory and compliance requirements in the context of AI/analytics solutions.
• Demonstrated ability to lead cross-functional collaboration across business lines, technology, and corporate functions.
• Excellent communication, structured problem-solving, storytelling, and presentation skills.
• Strong partner and stakeholder engagement experience, including executive-level audiences.

【Preferable】

• Banking, Financial Services, and Insurance domain knowledge.
• Technical fluency in Python and SQL with the ability to guide architectural and code-quality decisions.
• Experience with AzureML or similar cloud ML platforms.
• Experience leading agile delivery at scale across multiple teams.
• Evidence of thought leadership (publications, speaking, internal innovation).

【Language】

• Japanese: Business
• English: Business