VP, Data Strategy for AI Agents

State Street; Boston (MA); On-site; USD 110,000 - 189,000; Full time

Benefits offered by this job

401K with company match

Paid time off

Employee Assistance Program

Job summary

State Street seeks a VP, Data – AI Agents to lead the day-time delivery of the Data workstream for enterprise AI and agentic AI capabilities in a Boston context. The role ensures AI-use cases have access to governed, high-quality data and that requirements are addressed before production.

You will align with business, risk, security and governance teams to drive practical data solutions. You will translate requirements into data plans, drive data readiness, assess quality and ensure provenance,

Qualifications

• Strong experience in data management, data architecture, data governance, data analysis or data transformation.
• Practical experience delivering complex data initiatives within a large enterprise.
• Strong understanding of data quality, metadata, lineage, classification and data lifecycle concepts.
• Working understanding of Generative AI and large language model concepts, particularly RAG, grounding and enterprise search.
• Understanding of structured and unstructured enterprise information.
• Knowledge of data-access controls, entitlements and identity/access-management principles.
• Experience working with business and technology stakeholders to define requirements and deliver data solutions.
• Strong problem-solving skills with the ability to identify data dependencies and drive issues to resolution.
• Strong written and verbal communication skills, including the ability to explain complex data issues to non-technical stakeholders.
• Experience in a regulated or highly controlled environment is preferred.

Responsibilities

• Lead Data workstream delivery for AI-agent use cases from initial assessment through production.
• Translate business and AI-agent requirements into clear data requirements, dependencies and delivery plans.
• Identify required structured and unstructured data sources and establish the appropriate authoritative source.
• Coordinate with Data Owners and Data Stewards to confirm ownership, permitted usage and data readiness.
• Perform and coordinate AI Data Readiness assessments, identifying gaps and driving remediation.
• Assess data quality, freshness, completeness and suitability for AI-agent use.
• Support data patterns for APIs, retrieval-augmented generation (RAG), grounding, enterprise search and semantic retrieval.
• Ensure appropriate metadata, classification, lineage and provenance are established for information consumed by AI agents.
• Work with Security and IAM teams to implement appropriate user, agent and service-identity entitlements.
• Ensure AI retrieval and grounding solutions respect underlying data-access restrictions and do not create unintended access paths.
• Support requirements for agent memory, contextual information, AI-generated data, retention and traceability.
• Define and coordinate data validation and testing before production deployment.
• Establish appropriate operational monitoring for data availability, freshness, quality, access and retrieval.
• Track data issues, dependencies and risks and accelerate material blockers to the VP Data Stream Lead and relevant governance forums.
• Identify opportunities to reuse existing enterprise data capabilities rather than creating bespoke integrations for individual agents.
• Maintain documentation and evidence required to demonstrate that Data requirements and controls have been addressed.

Skills

Data governance

Data management

Data architecture

Data analysis

Generative AI

RAG & grounding

Metadata & lineage

Data quality

IAM & access controls

Tools

Microsoft Azure AI Foundry

Microsoft Purview

Collibra

Databricks

Snowflake

RBAC/ABAC

Job description

State Street seeks a VP, Data – AI Agents to lead the day-time delivery of the Data workstream for enterprise AI and agentic AI capabilities in a Boston context. The role ensures AI-use cases have access to governed, high-quality data and that requirements are addressed before production.

You will align with business, risk, security and governance teams to drive practical data solutions. You will translate requirements into data plans, drive data readiness, assess quality and ensure provenance,