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At Corebridge Financial, we believe action is everything. That’s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.

We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life:

• We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners.
• We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders.
• We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future.
• We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work.

Who You’ll Work With

The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles.

About The Role

The Head of Data Platform Engineering will be responsible for leading the strategy, design, implementation, and governance of the enterprise data platform for a leading Life & Annuities Insurance company. This senior leader will drive the modernization of the data landscape, enabling cloud-native big data solutions, ensuring secure and scalable data migrations, and supporting AI/ML initiatives via robust MLOps/ModelOps practices.

The ideal candidate is a seasoned technologist and visionary with deep expertise in big data platforms, cloud architectures, and enterprise-scale data transformations, coupled with strong leadership acumen to manage diverse teams of data engineers, analysts, data scientists, data stewards and MLOps professionals.

Responsibilities

• Strategic Leadership: Define 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), ETL frameworks, and real-time streaming pipelines.
• 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), and partner with Data Governance and Data Security group on metadata management, data cataloging, profiling, and lineage.
• MLOps/ModelOps Engineering Support: Enable scalable and reliable deployment and monitoring of ML models across platforms; integrate model governance into data pipelines.
• 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.
• Team Leadership: Manage and grow a high-performing global team of data engineers, analysts, and MLOps engineers. Foster a culture of innovation, excellence, and continuous learning.
• Working with the L&R 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).
• Hands-on experience with ETL/ELT frameworks (e.g., Apache NiFi, Airflow, Talend, dbt).
• Strong knowledge of cloud data warehouses (e.g., Snowflake, 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.
• Solid understanding of MLOps/ModelOps frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
• Familiarity with IaC and CI/CD for data pipelines (e.g., Terraform, GitOps, Jenkins).
• Experience in technology and application portfolio rationalization.
• Strategic Positioning : Helps defined 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, Chief Data Office and the enterprise 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.
• 20+ years of IT and at least 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.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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