VP, Legal Knowledge Engineering & AI Enablement

State Street

Boston (MA)

On-site

USD 110,000 - 181,000

Full time

13 days ago

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Benefits offered by this job

401K with company match

Comprehensive benefits

Paid time off

Employee assistance program

Volunteer days

Job summary

State Street seeks a Vice President, Legal Knowledge Engineering to capture and structure institutional expertise for scalable, tech-enabled service delivery within the Legal Department and related functions.

The role works with legal, regulatory, governance, policy, sustainability, corporate security, and related experts to document decision frameworks and operating procedures, transforming them into reusable knowledge assets and business requirements for workflows and AI-enabled tools.

Qualifications

Bachelor's degree or equivalent professional experience.
7+ years of experience in Knowledge Management, Legal Operations, BPM, Operational Excellence, Legal Innovation, Business Analysis, Service Design, or a related discipline.
Experience working directly with subject matter experts to document and operationalize complex expertise.
Demonstrated ability to translate professional judgment, policies, procedures, and specialized domain knowledge into structured frameworks, workflows, business rules, and operational requirements.
Experience decomposing complex work into decision logic, escalation pathways, business rules, testing scenarios, and repeatable operating models.
Experience designing business processes, service delivery models, workflows, or operating procedures.
Strong facilitation, interviewing, documentation, analytical, and problem-solving skills.
Exceptional written and verbal communication skills.
Ability to effectively bridge business, operational, and technology teams.

Responsibilities

Partner with SME across Legal, Regulatory Relations, Public Policy, Sustainability, Corporate Secretary, Corporate Security to capture and document decision-making frameworks and business rules.
Translate complex domain expertise into structured, repeatable guidance for processes, workflows, and service delivery activities.
Develop and maintain decision trees, knowledge models, issue taxonomies, precedent repositories, playbooks, and knowledge assets.
Establish standards for documenting expertise to promote consistency, scalability, and knowledge reuse.
Identify critical institutional knowledge and ensure it is captured and preserved independent of individuals.
Create documentation outlining decision points, escalation pathways, governance requirements, and risk-based operating practices.
Analyze business processes to identify standardization, simplification, and scalability opportunities.
Decompose work into activities, decision points, escalation paths, and business rules for future-state workflows.
Design operating procedures, service models, and process maps that enable efficient execution.
Support initiatives to improve productivity, quality, and stakeholder experience.
Translate policies and playbooks into structured requirements for automation and AI-enabled solutions.
Document inputs/outputs, escalation criteria, testing scenarios, and acceptance criteria for automation.
Collaborate with technology teams to embed expertise into workflows and AI tools.
Develop knowledge assets to support AI-assisted ways of working and future operating models.