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Oliver James

Senior Vice President (SVP), Data & Analytics

Oliver James, New York, New York, us, 10261

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Job Opportunity: Vice President of Data Oversee AWS and Azure data ecosystems (Red shift, Aurora, Glue, Synapse, etc.).

Transform legacy dual-ODS systems into a scalable, cloud-native data lake house.

Advance DevOps adoption with Terraform, Cloud Formation, and CI/CD pipelines.

Integrate financial and operational data to enable enterprise-wide insights.

On behalf of our esteemed client in the Insurance sector, we are seeking a dedicated and skilled Vice President of Data to lead their Data department.

This high-impact role offers the opportunity to shape data-driven strategies and foster data-centric innovations across the company.

Role and Responsibilities

Develop and implement comprehensive data strategies that align with the company's objectives.

Lead and expand the Data Engineering, Data Development, and Data Architecture teams.

Design and oversee the integration of new technology and approaches to enhance data processes and infrastructure.

Maintain an effective data governance framework to ensure data integrity and security.

Liaise with other department heads to support their data needs and ensure seamless interdepartmental cooperation.

Stay abreast of industry trends and advancements in data science and insurance analytics.

Evaluate department performance and lead strategic adjustments, setting clear goals and benchmarks for success.

Key Skills and Qualifications

Proven experience in Data Development, Data Architecture, and Data Engineering.

Strong leadership skills with experience in managing high-performing teams.

Excellent analytical skills with an ability to oversee large data sets and derive insightful conclusions.

Proficient understanding of data management technologies and software.

Ability to communicate effectively across all levels of the organization and with stakeholders.

Solid track record in project management and delivery within timelines and budgets.

Advanced degree in Computer Science, Data Science, Statistics, or a related field is highly preferred.

Our client offers a vibrant work environment that fosters creativity, innovation, and growth. This permanent position is an extraordinary opportunity to lead and influence a major arm of a cutting-edge insurance company while driving forward the entire data lifecycle.

Desired Skills and Experience Lead the Data Transformation of a Modern Specialty Insurer

As SVP, you will shape and execute a three-year enterprise data roadmap that drives profitable growth, operational excellence, and regulatory confidence. You'll lead a talented, multidisciplinary team and collaborate directly with executive leadership to turn data into a true business differentiator.

What You’ll Do Drive Enterprise Data Strategy

Define and execute our three-year enterprise data and analytics vision.

Align cloud modernization, governance, and AI initiatives with business goals.

Chair the Data Governance Council and establish enterprise KPIs (quality, SLAs, adoption, and cost optimization).

Manage a $5‑10M+ annual data budget, ensuring strategic ROI.

Modernize Our Data Platform

Oversee AWS and Azure data ecosystems (Redshift, Aurora, Glue, Synapse, etc.).

Transform legacy dual-ODS systems into a scalable, cloud-native data lakehouse.

Advance DevOps adoption with Terraform, CloudFormation, and CI/CD pipelines.

Integrate financial and operational data to enable enterprise-wide insights.

Champion Data Quality & Governance

Implement an enterprise Data Quality Framework and establish stewardship roles.

Ensure full traceability and regulatory compliance (NAIC, SOX, NYDFS).

Deliver real-time dashboards measuring completeness, timeliness, and compliance.

Accelerate Analytics & AI

Build advanced analytics capabilities for underwriting, claims, actuarial, and finance.

Partner with data scientists to deploy predictive models and MLOps governance.

Scale Tableau and Power BI adoption through governed self‑service analytics.

Lead Change & Inspire Teams

Oversee project management and PMO execution for all data initiatives.

Manage key vendor partnerships (AWS, Microsoft, Tableau, Databricks).

Cultivate a high-performance data culture rooted in accountability and innovation.

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