General Accountability:
This role is an Intermediate Data Architect reporting to the Data Architect / Lead Data Architect, with ownership of data architecture within assigned domains or initiatives.
While the role has a strong hands-on focus on data modeling and data design, it is also accountable for architecture outcomes, ensuring that data solutions are consistent, governed, scalable, and aligned with enterprise strategy.
The Associate Data Architect is expected to operate with a degree of autonomy, contribute to architecture governance, and influence key data design decisions, while aligning with the broader direction set by senior data architect.
- Owns the end-to-end data architecture for assigned domains or initiatives, ensuring alignment with enterprise data architecture standards
- Designs and maintains conceptual, logical, and physical data models, ensuring they are scalable, reusable, and fit-for-purpose
- Translates business requirements into architecture-aligned data designs, balancing immediate needs with long-term sustainability
- Defines and governs data flows, integration patterns, and data structures supporting applications and analytics platforms
- Ensures adherence to enterprise data architecture standards, naming conventions, and modeling practices
- Acts as a data architecture steward within assigned scope, ensuring consistency across systems and projects
- Participates in and contributes to architecture review boards and model governance processes
- Reviews and approves data models and designs produced by other team members or project teams
- Contributes to the evolution of data architecture strategy, particularly in data modeling, integration, and domain design
- Identifies opportunities to improve data structures, reduce redundancy, and enhance data usability across platforms
- Provides input into target-state architecture and roadmap planning, based on domain insights
- Supports alignment with enterprise initiatives such as OCDM and enterprise data architecture frameworks
- Handles complex and ambiguous data requirements, making informed design decisions within defined architectural guardrails
- Conducts impact analysis and trade-off assessments for changes in data models and data flows
- Resolves data design conflicts and inconsistencies across systems and stakeholders
- Works closely with:
- Business stakeholders
- Product owners
- Data engineers
- Application teams
- Ensures that data requirements are accurately translated into models and implementations
- Provides guidance and mentorship to junior team members or project contributors on data modeling best practices
- Supports cross-team alignment to ensure data architecture consistency across domains
- Owns and maintains:
- Data models (ERDs, LDMs, PDMs)
- Data dictionaries and metadata
- Integration and Mapping Artifacts (DFD, S2TM, Data Lineage
- Architecture documentation and design decisions
- Ensures documentation supports governance, reuse, and transparency
Domain-Specific Requirements:
Knowledge and experience with the following are essential:
- Strong expertise in:
- Conceptual, logical, and physical data modeling
- ERDs, normalization/denormalization
- Proven ability to design and own data models for medium to large-scale systems
- Solid understanding of:
- Data integration patterns and data flow design
- Relational databases and exposure to NoSQL concepts
- Working knowledge of enterprise data architecture principles and governance practices
- Familiarity with regulatory and compliance requirements influencing data design (e.g., GDPR, BCBS 239)
- Practical experience with modern data platforms, preferably Azure:
- Azure Data Factory
- Azure Databricks
- Azure Data Lake / Storage (Parquet)
- Azure Synapse
- Power BI
Knowledge and experience with the following will be an advantage:
- 2+ years of experience in Financial Services (e.g., insurance, banking, investments), or equivalent project exposure
- Exposure to insurance customer channels, such as Direct, Affinity, Agents, Brokers, Group Insurance, or Bancassurance
- Understanding of the insurance industry and core business concepts, with interest in learning more about industry trends, digital transformation, and customer expectations
- Familiarity with insurance business processes and systems, with the ability to learn and navigate new platforms and applications
- Awareness of evolving IT, insurance, and cross-industry trends (e.g., cloud platforms, data and analytics, digital channels, integration patterns), and the willingness to apply relevant concepts under the guidance of senior/lead architects
Skills & Abilities
- Architecture & Technical Skills
- Strong ability to design, evaluate, and govern data models and data flows
- Capable of making architectural decisions within defined guardrails
- Balances short-term delivery vs long-term data architecture sustainability
- Strategic & Analytical Thinking
- Able to connect data design decisions to business outcomes
- Contributes to architecture direction and continuous improvement
- Comfortable working with ambiguity and evolving requirements
- Governance & Accountability
- Takes ownership of architecture quality, consistency, and compliance within assigned scope
- Enforces standards while adapting to practical constraints
- Acts as a custodian of data integrity and design quality
- Communication & Influence
- Clearly communicates data architecture decisions to:
- Technical teams
- Business stakeholders
- Able to influence design choices and drive alignment across teams
- Participates actively in design discussions and architecture forums
- Collaboration & Leadership Potential
- Strong team player with the ability to guide and support others
- Builds effective relationships across business and IT stakeholders
- Demonstrates readiness to grow into a full Data Architect role
When you join our team:
We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.
マニュライフとジョン・ハンコックについて
マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 https://www.manulife.co.jp/lをご覧ください。
マニュライフは機会均等を是とする雇用主です
マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別(妊娠および妊娠関連の状態を含む)、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。
雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、hr@manulife.comまでご連絡をお願いします。
Working Arrangement
ハイブリッド勤務