Overview
Remote
On Site
225k - 250k
Full Time
Skills
LOS
Innovation
Roadmaps
Scalability
Microsoft Azure
Databricks
Data Lake
Data Governance
Meta-data Management
Computer Science
Finance
Asset Management
Market Analysis
Bloomberg
FactSet
Advanced Analytics
Artificial Intelligence
Machine Learning (ML)
Financial Services
Investment Management
Storage
Warehouse
Reporting
Management
Lifecycle Management
Data Architecture
Cloud Computing
Data Engineering
Analytics
Stakeholder Management
Leadership
Collaboration
Insurance
SAP BASIS
Job Details
Job Description
This is a full-time senior leadership role with a global financial services organization, focused on building next-generation data architecture and engineering solutions. The company emphasizes a collaborative, high-performance culture that values innovation, governance, and the ability to deliver data-driven insights at scale. You will lead a specialized data engineering and architecture function, shaping the long-term roadmap for enterprise data strategy and governance while enabling efficiency, scalability, and trusted analytics across the firm.
The position offers a flexible hybrid schedule with U.S. office locations and occasional on-site collaboration with stakeholders. This role is ideal for someone who can combine deep technical expertise with strong leadership and strategic vision to drive enterprise-wide impact.
Required Skills & Experience
This is a full-time senior leadership role with a global financial services organization, focused on building next-generation data architecture and engineering solutions. The company emphasizes a collaborative, high-performance culture that values innovation, governance, and the ability to deliver data-driven insights at scale. You will lead a specialized data engineering and architecture function, shaping the long-term roadmap for enterprise data strategy and governance while enabling efficiency, scalability, and trusted analytics across the firm.
The position offers a flexible hybrid schedule with U.S. office locations and occasional on-site collaboration with stakeholders. This role is ideal for someone who can combine deep technical expertise with strong leadership and strategic vision to drive enterprise-wide impact.
Required Skills & Experience
- 15+ years of experience in the data and analytics space, including 10+ years in data engineering, architecture, or governance leadership roles
- Proven experience designing and delivering enterprise-scale data architectures and strategies
- Expertise in modern cloud platforms, preferably Microsoft Azure, including Data Factory, Databricks, Synapse, and Data Lake solutions
- Strong knowledge of data governance, metadata management, data lineage, and quality frameworks
- Ability to oversee and scale large, complex data pipelines and warehousing environments
- Experience partnering with stakeholders across investment, operations, and risk functions to deliver data solutions that drive measurable value
- Bachelor's degree in Computer Science, Finance, or related field
- Knowledge of asset management, investment data, and market data sources (e.g., Bloomberg, FactSet, Morningstar, ESG)
- Experience managing cross-functional data teams, including engineers and architects
- Strong understanding of advanced analytics, AI/ML integration, and enterprise reporting needs
- Background in financial services, investment management, or other highly regulated industries
- Define and execute a comprehensive enterprise data strategy aligned with business objectives
- Lead the design, implementation, and governance of scalable and reusable data platforms
- Oversee the movement, transformation, and storage of large, diverse data sets in cloud environments
- Build and optimize pipelines, warehousing, and analytics workloads to support firmwide reporting and insights
- Partner with business and technology stakeholders to ensure alignment and adoption of data solutions
- Manage a team of engineers and architects to deliver high-quality, secure, and compliant data assets
- Establish and enforce best practices around governance, quality, and data lifecycle management
- 40% Data architecture and governance strategy
- 40% Cloud data engineering (pipelines, warehouses, analytics platforms)
- 20% Stakeholder management, leadership, and collaboration
- Bonus Eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.