PanAgora Asset Management · 6 hours ago
Enterprise Data Architect
United States
Full-time
Remote
Senior Level, Lead/Staff
$152K/yr - $220K/yr
15+ years expPanAgora Asset Management is committed to transforming financial lives by empowering its employees. As an Enterprise Architect specializing in Machine Learning and Advanced Analytics, you will design and implement data capabilities that enhance business decision-making and operational efficiency.
FinanceFinancial Services
Responsibilities
Define and maintain enterprise target architectures and roadmaps for advanced analytics capabilities
Establish reference architectures, standards, and reusable patterns for data, analytics, and machine learning solutions that teams can adopt consistently
Work closely with data scientists and model developers to translate modeling approaches into production-ready designs, ensuring smooth paths from experimentation to operational use
Partner with data science and engineering teams to ensure machine learning solutions are designed for production use, including scalability, reliability, monitoring, and maintainability
Provide architectural direction for analytics and reporting capabilities, including how curated data sets, semantic layers, and consumption patterns support consistent business metrics and insights
Contribute to the broader data strategy pillars by shaping approaches to data architecture and infrastructure, data management, data security, data delivery, advanced analytics, and business alignment
Provide leadership for data platforms and pipelines, including guidance on integration patterns, reusable components, automation, and operational resilience
Collaborate with security, privacy, and risk stakeholders to ensure data and analytics solutions incorporate appropriate controls, traceability, and compliance readiness
Lead architecture reviews and decision forums, ensuring decisions are documented and aligned to enterprise direction
Define success measures for data and analytics adoption, including delivery efficiency, reliability, reusability, quality, and value realized
Drive simplification and modernization by reducing duplicated tooling and inconsistent practices across data, analytics, and machine learning solutions
Support pilots and early adopters by converting lessons learned into scalable enterprise guidance and repeatable patterns
Influence stakeholders to improve outcomes such as faster time to insight, faster delivery of trusted analytics, more reliable production ML usage, and improved cost transparency for data and analytics workloads
Qualification
Required
15 years of deep hands-on experience delivering machine learning and advanced analytics solutions, with a strong understanding of how models are developed, evaluated, deployed, and supported in real business environments
7+ years of experience creating solution architectures and strategies across multiple architecture domains (business, application, data, integration, infrastructure and security)
Demonstrated ability to set technical direction and drive adoption across teams through practical guidance, strong engineering judgment, and clear communication
Proven experience working directly with data scientists and model developers, translating modeling needs into scalable, supportable, and secure implementation approaches
Hands-on experience with at least one modern analytics or machine learning platform such as Snowflake, Databricks, SAS, Amazon SageMaker, Dataiku, or equivalent
Cloud experience designing or deploying data and analytics solutions on a major cloud platform, with understanding of scalability, reliability, security, and cost considerations
Strong understanding of modern data concepts including pipelines, data modeling, data quality practices, metadata, and consumption patterns for analytics and ML
Ability to partner effectively across engineering, data science, security, risk, and business stakeholders and drive outcomes through influence and collaboration
Strong written and verbal communication skills with demonstrated ability to create clear technical direction and documentation that teams will use
Bachelor's and/or master's degree in computer science or related field (information systems, mathematics, software engineering, etc.)
Preferred
Experience in financial services, wealth management, retirement services, or another regulated industry
Experience setting enterprise-wide patterns or standards for ML, analytics, or data platforms
Experience with more than one modern analytics or machine learning platform
Familiarity with controls relevant to data, analytics, and ML including privacy, access management, auditability, and operational accountability
Relevant cloud certifications or formal training in cloud architecture, data engineering, analytics, or machine learning
Benefits
Medical, dental, vision and life insurance
Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
Tuition reimbursement up to $5,250/year
Business-casual environment that includes the option to wear jeans
Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.
Company
PanAgora Asset Management
PanAgora Asset Management is a quantitative investment manager whose proprietary approach is designed to capitalize on inefficiencies across market cycles and to deliver relative and absolute returns through distinct and innovative equity, multi-asset and risk premia strategies.
51-200 employees
H1B Sponsorship
PanAgora Asset Management has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6)
2024 (1)
2023 (1)
2022 (5)
2021 (1)
Funding
Current Stage
Growth StageLeadership Team
Eric Hevering Sorensen
CEO
Recent News
2025-10-31
2025-08-14
2025-07-04
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