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Implement and maintain data governance frameworks, policies, standards, and data quality controls. Manage data ownership, stewardship, metadata, lineage, and issue remediation processes. Partner with business, technology, risk, and compliance stakeholders, facilitate governance forums and training, and support audits, regulatory initiatives, and enterprise data transformation programs for banking clients.

Design, develop, and optimize data architectures for agile financial-services projects. Responsibilities include data engineering, business analysis, solution design, conceptual data modeling, and implementation of data lakes, warehouses, and cloud-based solutions. The role involves progressively owning project topics, leading smaller workstreams and teams, and contributing to internal initiatives.

Design and implement enterprise data architectures and cloud data foundations for financial-services transformation projects. Lead data modeling, integration, ETL/ELT, governance, source onboarding, legacy migration, and architecture workstreams using Azure Databricks. Collaborate with business, engineering, governance, and operations teams while documenting solutions, guiding engineers, and transferring capabilities into production operations.

Design and implement enterprise data architectures for regulated financial-services clients. Build Azure Databricks cloud foundations, onboard data sources, develop enterprise models, establish ETL/ELT and governance patterns, guide legacy migrations, lead architecture workstreams, and collaborate with business, engineering, governance, and operations teams. Support AI, analytics, reporting, documentation, and knowledge transfer into operations.

Designs agentic AI architectures and technical roadmaps for financial services clients. Translates business and technical requirements into scalable AI platforms, memory architectures, multi-agent systems, tool workbenches, and implementation requirements. Advises C-suite stakeholders, oversees AgentOps tracing and monitoring, establishes AI governance and security guardrails, and creates reusable architectures and methodologies. Collaborates across business, IT, risk, compliance, and consulting teams.

Design and implement enterprise data architectures for regulated financial-services clients. Build Azure Databricks cloud data foundations, onboard sources, develop enterprise data models, and establish ETL, ELT, API, governance, security, metadata, lineage, and data-quality patterns. Lead architecture decisions, migration workstreams, and project teams while collaborating with business, engineering, governance, and operations stakeholders. Support documentation, knowledge transfer, and transition into operations.

Design, develop, and optimize data architectures for agile financial-services projects. Perform data engineering, business analysis, solution design, data modeling, and technical implementation using cloud, data lake, data warehouse, and database technologies. Progressively own technical topics, lead smaller workstreams and teams, and contribute to internal initiatives and solution improvements.

Design and implement enterprise data architectures for regulated financial-services environments. Lead cloud data foundation development using Azure Databricks, source onboarding, data modeling, ETL/ELT, governance, security, metadata, lineage, and data quality. Guide legacy migration, architecture workstreams, engineering teams, documentation, and knowledge transfer while collaborating with business, technology, governance, and operations stakeholders.

Designs agentic AI architectures and roadmaps for financial institutions. Translates business and technical requirements into scalable solutions, advises executive stakeholders, creates reusable architecture patterns, and oversees memory, multi-agent, monitoring, tracing, evaluation, governance, security, and guardrail systems. Collaborates across business, IT, risk, and compliance teams while documenting technical concepts and guiding implementation.

Designs agentic AI architectures and roadmaps for financial-services clients. Translates business and technical requirements into scalable architectures, develops reusable reference patterns, and advises C-suite stakeholders. Oversees AI memory, multi-agent systems, tool workbenches, AgentOps, monitoring, tracing, evaluation, security, and governance. Collaborates with risk and compliance teams to implement guardrails and communicates technical concepts to technical and non-technical audiences.