Lead Domain Architect (Investment & Operations
Job in
Owings Mills, Baltimore City, Maryland, 21117, USA
Listed on 2026-08-22
Listing for:
Tata Consultancy Services
Full Time
position Listed on 2026-08-22
Job specializations:
-
Business
AI Business & Operations, Change Management, Business Systems & Technology Analysis -
IT/Tech
AI Business & Operations, Change Management, Business Systems & Technology Analysis
Job Description & How to Apply Below
Location: Owings Mills
- 15+ years in Asset Management and Investment Operations with deep expertise across trade lifecycle, reconciliation, corporate actions, performance, reporting, compliance and investment data management.
- Strong understanding of operating models, business architecture, target state transformation and process reengineering within asset management firms.
- Experience identifying and prioritizing AI, GenAI and Agentic AI opportunities across investment operations value chains.
- Working knowledge of Anthropic Claude/Other LLMs, Agentic AI patterns, enterprise AI adoption and business process transformation.
- Ability to translate business requirements into domain architectures, capability maps, business cases and implementation roadmaps.
- Experience partnering with enterprise architects, AI architects and engineering teams to define future state solutions.
- Strong stakeholder management, workshop facilitation and requirements elicitation skills.
- Experience in regulated financial services environments with focus on governance, controls and risk management.
- Lead engagement with business stakeholders, operations leaders and enterprise architects to identify and prioritize AI transformation opportunities.
- Assess end-to-end investment operations processes and define high-value Agentic AI use cases.
- Facilitate discovery workshops, value-stream assessments and business process reviews.
- Translate business needs into domain requirements, capability models, target operating models and AI implementation roadmaps.
- Act as the bridge between business stakeholders, AI architects, data teams and engineering teams.
- Define Human + AI Agent operating models across investment operations functions.
- Develop business cases, value realization frameworks, KPIs and adoption strategies.
- Support PoCs, MVPs and production deployments by providing domain leadership and business validation.
- Ensure proposed solutions align with governance, control, risk and regulatory requirements.
- 15+ years in Asset Management and Investment Operations with deep expertise across trade lifecycle, reconciliation, corporate actions, performance, reporting, compliance and investment data management.
- Strong understanding of operating models, business architecture, target state transformation and process reengineering within asset management firms.
- Experience identifying and prioritizing AI, GenAI and Agentic AI opportunities across investment operations value chains.
- Working knowledge of Anthropic Claude/Other LLMs, Agentic AI patterns, enterprise AI adoption and business process transformation.
- Ability to translate business requirements into domain architectures, capability maps, business cases and implementation roadmaps.
- Experience partnering with enterprise architects, AI architects and engineering teams to define future state solutions.
- Strong stakeholder management, workshop facilitation and requirements elicitation skills.
- Experience in regulated financial services environments with focus on governance, controls and risk management.
- Lead engagement with business stakeholders, operations leaders and enterprise architects to identify and prioritize AI transformation opportunities.
- Assess end-to-end investment operations processes and define high-value Agentic AI use cases.
- Facilitate discovery workshops, value-stream assessments and business process reviews.
- Translate business needs into domain requirements, capability models, target operating models and AI implementation roadmaps.
- Act as the bridge between business stakeholders, AI architects, data teams and engineering teams.
- Define Human + AI Agent operating models across investment operations functions.
- Develop business cases, value realization frameworks, KPIs and adoption strategies.
- Support PoCs, MVPs and production deployments by providing domain leadership and business validation.
- Ensure proposed solutions align with governance, control, risk and regulatory requirements.
- Executive stakeholder management and influencing skills.
- Strong communication and presentation skills across business and technology audiences.
- Abili…
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