Director / VP, Enterprise Architecture
FactSet (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 55–85 LPA
Posted 20h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at FactSet
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at FactSet you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead enterprise architecture strategy and define architectural standards for large-scale, AI-integrated financial services systems.
- Own architectural governance, technology evaluation, and design for cross-functional, enterprise-level solutions supporting AI agents and LLM pipelines.
- Represent architecture in regulatory and audit discussions ensuring compliance, while mentoring senior engineers and architects organization-wide.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
- 10+ years in solution or enterprise architecture roles with minimum 3 years in senior or leadership capacity.
- Proven experience in banking or financial services with knowledge of industry-specific architectures and regulatory compliance.
- Hands-on experience with AI/ML infrastructure design, cloud-native architectures (AWS, Azure, GCP), microservices, and API design.
Ideal Candidate Profile
- Experienced in leading architecture for financial services firms, especially with banking, equities, brokerage, or wealth management domains.
- Strong strategic thinker comfortable aligning technology roadmaps with business goals and engaging executive leadership.
- Hands-on with emerging AI frameworks such as multi-agent orchestration, retrieval-augmented generation, and enterprise data platform modernization.