Vice President Data Architect

Location

Brookfield Place New York - 250 Vesey Street, 15th Floor

Business - Wealth Solutions

Brookfield Wealth Solutions (“BWS”; NYSE/TSX: BNT) is focused on securing the financial futures of individuals and institutions through a range of retirement services, wealth protection products and tailored capital solutions. Through our operating subsidiaries, we offer a broad range of insurance products and services, including annuities, personal and commercial property and casualty insurance and life insurance

Brookfield Culture

Brookfield has a unique and dynamic culture.  We seek team members who have a long-term focus and whose values align with our Attributes of a Brookfield Leader:  Entrepreneurial, Collaborative and Disciplined.  Brookfield is committed to the development of our people through challenging work assignments and exposure to diverse businesses.

Job Description

About The Role

The Vice President, Data Architect will be responsible for leading the strategy, design, implementation, and governance of the Brookfield Wealth Solutions Data Warehouse.  This senior team member will drive the modernization of the data landscape, enabling cloud-native big data solutions, and ensuring secure and scalable data migrations.

The ideal candidate is a seasoned technologist and visionary with deep expertise in big data platforms, cloud architecture, Investment data domain modelling, and enterprise-scale data transformations.  The role requires experience working effectively in a team of data engineers, analysts, data scientists, and data stewards with a track record of strong business partnership.

Responsibilities

• Strategic Leadership: Define, develop, implement and lead the long-term data platform engineering roadmap aligned with business and digital transformation goals. 
• Cloud Data Architecture: Architect and deliver cloud-native data solutions (e.g., AWS, Azure, GCP) including data lakes, cloud data warehouses (example Snowflake), and ETL frameworks. 
• Schema Design:  Leverage experience in Investment/Insurance industry to design Datamart schemas required by multiple stakeholders ex. Regulatory, Portfolio Analytics, Reporting etc.
• Operational Excellence: Ensure solution design addresses access, reliability, scalability and performance of the Data Warehouse through the use of standardized architecture, automation and proactive monitoring.
• Platform Engineering: Build and optimize scalable and secure data platforms that support high-volume processing, analytics, and machine learning workloads. 
• Data Migration & Modernization: Lead complex migrations from legacy systems to modern cloud platforms, ensuring minimal disruption and compliance with data governance policies. 
• Data Management & Quality: Oversee Master Data Management (MDM) system architecture, and partner with Enterprise Data teams on data access controls, metadata management, data cataloging, profiling, and lineage. 
• Technology Evaluation & Selection: Evaluate emerging technologies and tools to ensure the platform remains cutting-edge and aligned with business priorities. 
• Collaboration & Stakeholder Engagement: Partner with business, IT, and analytics teams to ensure data solutions meet enterprise needs. 
• Working with the IT leadership team to embrace contemporary ways of working, attract and develop talent across the firm and leverage economies of scale and shared capabilities. 

Skills and Qualifications

• Business / Industry Knowledge: Demonstrates an understanding of the insurance, financial services industry, especially the life and annuities space and wealth management segments.
• Technical Acumen: 
  • Proven experience with cloud-native data platforms (AWS, Azure, or GCP).
  • Expert in Snowflake schema or Star Schema
  • Expertise in big data technologies (e.g., Hadoop, Spark, Kafka, Databricks).
  • Hands-on experience with ETL/ELT frameworks (e.g., Workato, Apache NiFi, Airflow, Talend, dbt).
  • Strong knowledge of cloud data warehouses (e.g., Snowflake, Databricks BigQuery, Redshift, Synapse).
  • Deep understanding of data lake architecture and Delta Lake/Apache Iceberg/Hudi.
  • Experience with Master Data Management, data quality, and data governance.
  • Experience with Investment Management Systems such as Aladdin, WSO, Clearwater, SS&C PLM etc. is an asset.
  • Exposure to MLOps/ModelOps frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI) is an asset.
  • Familiarity with IaC and CI/CD for data pipelines (e.g., Terraform, GitOps, Jenkins).

• Strategic Positioning: Helps define business strategy and data strategy by understanding what’s possible with technology and identifies solutions that support enterprise strategy, impact critical business outcomes, and drive organizational success through the evaluation of internal and external business contexts.
• Partnership: Effectively partners with business functions and, Enterprise Data Teams to leverage economies of scale meeting a complex set of needs and objectives.
• Cultural Adaptability: Values and consider the perspectives of diverse parties in a global context. Is a role model and organizational leader.
• Talent Cultivation:   Proven track record of identifying trends, staying current with skills and helping build an engineering-oriented culture.  Has strong skills in nurturing and developing talent.
• Critical Thinking: Able to identify, anticipate and prevent businesses problems and match an appropriate solution; Demonstrates intellectual curiosity identifying or anticipating issues within the client base and the ability to match an optimal solution.
• Decision Quality / Risk Mindset:  Demonstrates good judgement and knows when to involve others; Uses data, logic, analysis, and experience to make evidence-based decisions.
• Learning Agility:  Demonstrates a progressive growth mindset through an ability and willingness to learn from experiences and new situations; Applies past experience to proactively identify opportunities.

Required Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Experience in the Life & Annuities Insurance or financial services sector
• Certifications in cloud platforms (AWS, Azure, GCP) or data engineering.
• 10+ years of Data Engineering experience.
• Strategic thinker with ability to translate business goals into technical solutions
• Strong leadership in managing large cross-functional and globally distributed teams
• Exceptional communication and stakeholder management skills
• Demonstrated ability to lead complex programs and transformations
• Change management and mentorship capabilities in agile, fast-paced environments
• Influential thought leader and collaborator with a bias for action.

Brookfield is committed to maintaining a Positive Work Environment that is safe and respectful; our shared success depends on it.  Accordingly, we do not tolerate workplace discrimination, violence or harassment.

We are proud to create a diverse environment and are proud to be an equal opportunity employer. We are grateful for your interest in this position, however, only candidates selected for pre-screening will be contacted.