Description and Requirements

【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

福利厚生

メットライフ生命では、ワークライフバランスと社員の心身の健康を促進する福利厚生を提供しています。社員はフレックスタイム制度、年次有給休暇、特別連続休暇、リフレッシュ休暇等の休暇を利用できます。また、社会保険や団体保険の他、旅行や英会話教室で使える割引も提供しています。柔軟に働けるよう、オフィス勤務と在宅勤務を組み合わせた勤務形態の導入や、短時間勤務制度、また柔軟性のあるドレスコードなども設けています。

Benefits We Offer

MetLife Japan offers a comprehensive benefits package that promotes work-life balance and employee wellbeing. Employees can take advantage of flex time policy and a generous time-off policy, national holidays, annual paid leave, special consecutive leave, and refreshment leave. We also provide full social insurance coverage, a commuting expense reimbursement, group insurance, and discounts on travel and English language lessons. To support work flexibility, employees also have hybrid work options, shortened working hours for parents with children in third grade or below, and a casual dress code.

メットライフについて

メットライフは、グローバルで展開する金融サービス企業です。個人および法人のお客さまがより確かな未来を築けるよう、保険、年金、社員福利厚生給付、資産管理のサポートを提供しています。1868年に創業したメットライフは、世界40以上の市場で事業を展開し、米国、アジア、中南米、ヨーロッパ、中東において業界をリードしています。

メットライフ生命は、日本初の外資系生命保険会社として、1973年2月に国内での営業を開始しました。当社のPurpose「ともに歩んでゆく。よりたしかな未来に向けて。」は、メットライフが誇るグローバルネットワークと世界中のベストプラクティスを活かし、お客さまのニーズに応え、地域社会との信頼関係を築くという信念を表しています。

メットライフは、New Frontier戦略の一環として、AIを活用し、人を中心に据えた未来を築いています。私たちは、AIを活用して顧客へのサービス向上、地域社会への支援、そして働き方の変革を推進していく中で、好奇心、適応力、そして成長意欲を持つ人材を求めています。メットライフにおいて、AIは、人間の判断力、創造性、継続的な改善を支える責任あるパートナーであり、信頼、インクルージョン、そして長期的な価値の構築に貢献しています。About MetLife

About MetLife

MetLife Inc., through its subsidiaries and affiliates (MetLife), is one of the world's leading financial services companies, providing insurance, annuities, employee benefits and asset management to help individual and institutional customers build a more confident future. Founded in 1868, MetLife has operations in more than 40 markets globally and holds leading positions in the United States, Asia, Latin America, Europe and the Middle East.

MetLife Japan began operations in February 1973 as Japan's first foreign-owned life insurance company. Our purpose, "Always with you, building a more confident future," encapsulates our strong commitment to leveraging our global network and best practices worldwide to stand with our customers and build trust with our communities.

As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.