Data – AI Agents, Vice President

State Street • Boston, MA

3d • $110,000 - $188,750

About The Position

The Vice President, Data – AI Agents leads day-to-day delivery of the Data workstream supporting enterprise AI and agentic AI capabilities. The role ensures that AI-agent use cases have access to authoritative, high-quality, appropriately governed, permissioned and traceable data, and that data requirements are understood and addressed before solutions move into production. Working with Business, Data, AI Engineering, Architecture, Information Security, Identity and Access Management, Risk and Governance teams, the VP translates AI use-case requirements into practical data solutions and drives their implementation.

The position has delivery responsibility across data discovery, data readiness, data access and entitlements, data quality, grounding and provenance, and production controls. It produces and maintains readiness assessments, source inventories and mappings, ownership documentation, classification and entitlement requirements, quality assessments and remediation plans, lineage and provenance documentation, integration and grounding requirements, risk and dependency tracking, and production monitoring requirements.

Success involves timely readiness assessments; identifying authoritative sources and accountable owners; resolving or escalating material quality and access issues; implementing appropriate entitlements and traceability; reusing enterprise capabilities where possible; and clearly reporting data risks, dependencies and readiness.

Requirements

• 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, including identifying data dependencies and driving issues to resolution.
• Strong written and verbal communication skills, including explaining complex data issues to non-technical stakeholders.
• Ability to drive multiple data activities and dependencies to completion; understand data and AI concepts sufficiently to challenge proposed solutions and identify risks; work through complex data ownership, quality, access and integration issues; build relationships across Business, Data, Technology and control functions; recognize material risks to AI-agent outputs or actions; question data authority, quality and accessibility; and maintain clear ownership, actions, dependencies, risks and evidence.

Nice To Haves

• Experience in a regulated or highly controlled environment.
• Experience supporting AI, machine learning or advanced analytics solutions.
• Familiarity with cloud and enterprise data platforms.
• Exposure to Microsoft Azure AI Foundry, Microsoft Purview, Collibra, Databricks or Snowflake.
• Understanding of APIs, data lakes/lakehouses, semantic or vector search, and enterprise knowledge-management solutions.
• Experience working with Role-Based Access Control (RBAC) or Attribute-Based Access Control (ABAC).
• Experience supporting data governance, data readiness or technology-risk assessments.

Responsibilities

• Lead Data workstream delivery for assigned AI-agent use cases from initial assessment through production.
• Translate business and AI-agent requirements into data requirements, dependencies and delivery plans.
• Identify 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, identify gaps and drive 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 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 operational monitoring for data availability, freshness, quality, access and retrieval.
• Track data issues, dependencies and risks and escalate material blockers to the VP Data Stream Lead and relevant governance forums.
• Identify opportunities to reuse existing enterprise data capabilities rather than create bespoke integrations for individual agents.
• Maintain documentation and evidence demonstrating that Data requirements and controls have been addressed.
• Determine what information an AI agent requires and where authoritative information resides.
• Assess whether data is accessible, controlled, current and fit for the intended AI use case.
• Identify data-quality limitations that could materially affect agent responses, recommendations or actions.
• Ensure RAG and other grounding solutions can trace relevant AI outputs to appropriate enterprise information sources.
• Ensure data dependencies are monitored after deployment and failures or deterioration can be identified and escalated.

Benefits

• 401(k) retirement savings plan with company match.
• Insurance coverage including basic life, medical, dental, vision, long-term disability and optional additional coverages.
• Paid time off, including vacation, sick leave, short-term disability and family care responsibilities.
• Access to the Employee Assistance Program.
• Incentive compensation, including eligibility for annual performance-based awards, with exceptions for certain sales roles.
• Eligibility for certain tax-advantaged savings plans.
• Inclusive development opportunities, flexible work-life support, paid volunteer days and employee networks.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed