State Street

Vice President

• Support the State Street Data Integration team in establishing its product roadmap and tracking progress through completion
• Coordinate with the Alpha Data Services PMO team to report roadmap delivery status, risks, and issues
• Coordinate across client implementation teams to record and track client requirements and timelines in Jira
• Work with stakeholders across multiple teams to integrate data from source systems into SSCD and ADP
• Develop processes to identify, track, and implement practice area requirements and strategic initiatives
• Manage stakeholder communication across multiple teams and levels
• Engage with practice areas to develop and grow the product control and dashboard offering

Data Integration Delivery Manager – Vice President

• Establish the enterprise FinOps for AI discipline, including scope, taxonomy, methodology, operating model, governance, controls, and performance measures
• Create an integrated view of AI cost and consumption across hyperscaler services, accelerated compute, AI gateways, models, tokens, agents, copilots, data platforms, and embedded vendor capabilities
• Define unit economics including cost per token, request, session, agent, and use case
• Connect AI spending to products, services, business outcomes, and customer value
• Lead budgeting, forecasting, scenario modeling, and variance analysis for AI investments
• Set allocation, showback, and chargeback standards, including tagging, attribution, shared-cost treatment, and reporting
• Identify and deliver optimization opportunities through model selection and routing, prompt and context efficiency, caching, batching, inference right-sizing, accelerated-compute commitments, and retirement of low-value consumption
• Track and validate realized savings and cost avoidance
• Embed cost estimation, financial guardrails, and onboarding guidance into AI intake and development workflows
• Partner with AI and cloud platform teams, engineering, architecture, security, procurement, finance, and business stakeholders
• Define reporting and tooling requirements, validate implementation logic, and communicate AI spend, risks, trade-offs, and opportunities through executive showback, leadership reviews, and planning cycles

Vice President, FinOps for AI

Procurement

• Lead a team responsible for Market Data strategy
• Develop product/service strategy across Pricing, Reference Data, Index Data, Desktop terminals, Exchange Fees, and Research/News
• Develop vendor strategy and preferred vendor lists
• Partner with business and corporate areas to anticipate and meet Market Data needs
• Optimize spending by eliminating unnecessary demand, using lower-cost alternatives, recovering certain client expenses, and optimizing consumption
• Identify, initiate, and project-manage cost-reduction initiatives
• Source products and services from optimal vendors at optimal prices
• Negotiate and manage large and complex Market Data agreements
• Advise and guide stakeholders in Market Data sourcing
• Analyze data to identify cost-reduction opportunities
• Work with process partners to mitigate risks and realize opportunities
• Resolve requests and issues and perform daily problem solving
• Review, negotiate, and draft Market Data contracts, including commercials and terms and conditions
• Partner with legal and business teams to ensure contracts reflect negotiated terms, usage rights, and other conditions
• Identify and mitigate risks in contract language
• Ensure timely completion of the end-to-end contracting process
• Keep stakeholders informed throughout the procurement lifecycle
• Collaborate with Third Party Risk Management teams to support policies and procedures and mitigate third-party risk
• Perform duties in accordance with regulatory compliance guidelines
• Report to the Global Head of Market Data

Market Data Sourcing and Category Strategy Head – Managing Director

• Establish the enterprise FinOps for AI discipline, including scope, taxonomy, methodology, operating model, governance, controls, and performance measures
• Create an integrated view of AI cost and consumption across hyperscaler services, accelerated compute, AI gateways, models, tokens, agents, copilots, data platforms, and embedded vendor capabilities
• Define unit economics such as cost per token, request, session, agent, and use case
• Connect AI spending to products, services, business outcomes, and customer value
• Lead budgeting, forecasting, scenario modeling, and variance analysis for AI investments
• Establish early warnings when consumption or run rate exceeds plan
• Set allocation, showback, and chargeback standards, including tagging, attribution, shared-cost treatment, and reporting
• Identify and deliver optimization opportunities through model selection and routing, prompt and context efficiency, caching, batching, inference right-sizing, accelerated-compute commitments, and retirement of low-value consumption
• Track and validate realized savings and cost avoidance
• Embed cost estimation, financial guardrails, and onboarding guidance into AI intake and development workflows
• Partner with AI and cloud platform teams, engineering, architecture, security, procurement, finance, and business stakeholders
• Define reporting and tooling requirements and validate implementation logic
• Communicate AI spend, risks, trade-offs, and opportunities through executive showback, leadership reviews, and planning cycles
• Report to the Global Technology Services Cloud FinOps Operations Lead within the Technology Business Office

Data Analyst

• Plan, design, develop, and maintain data architecture, data models, and best-practice standards for Data Analytics and Integration projects in Snowflake
• Incorporate new features and model subject areas for integration with existing structures
• Create and continuously enhance documentation for deployments, data architectures, data flows, and data models
• Develop and maintain automation enabling self-service and platform management capabilities
• Lead and complete multiple complex technical projects
• Create high-level solution designs, architecture, and infrastructure diagrams
• Own technical solutions from a design and architecture perspective and provide fit-for-platform guidance
• Deliver using an onshore/offshore model in a matrix organization
• Gather end-user requirements and write technical documentation
• Propose innovative solutions using new technologies and product features
• Collaborate with application development teams to understand business needs, capture requirements, identify pain areas, and propose solutions
• Manage pipelines using Terraform scripts to deploy resources
• Provide engineering analysis and support for Snowflake account creation and project onboarding
• Enforce enterprise security and compliance standards
• Provide administrative support and work with vendors on environment issues
• Evaluate automation needs and propose solution options
• Work with production management and cloud teams on database-related automation and solutions
• Provide resolution for data pipeline issues proactively and as they arise

Data Analytics – Snowflake Technical Engineering Lead, AVP

Operations

• Execute and report derivative processing activities impacting clients' fund net asset valuations (NAVs)
• Identify, analyze, and substantiate derivatives' impacts on NAV
• Process and verify derivative activities and reflect them in systems for downstream teams
• Assist with derivative queries and participate in programs involving derivatives requirements
• Support data analysis, testing, and onboarding of new products
• Validate and review daily operational activities related to CFD reconciliation while maintaining controls
• Investigate position, dividend, gain, and loss breaks; identify root causes and resolve them
• Review and validate fund NAVs, positions, MTM calculations, and related data
• Distribute information to Shared Services and Client Operations teams
• Research and resolve exceptions, reconciliations, incorrect transactions, and issues
• Resolve inquiries and communicate with clients when necessary
• Escalate unresolved issues to management
• Maintain daily and monthly activity records
• Support financial, performance, and quality reporting
• Maintain current knowledge of alternative procedures and processes
• Document updates or changes to procedures and databases
• Prepare and verify information for projects and special requests

Associate, Alternative Ops Derivatives & Collateral Management

• Support implementation of enterprise Data Quality Management standards, procedures, operating practices, and supporting technology capabilities
• Translate data quality policies, standards, controls, and regulatory expectations into business requirements, functional requirements, user stories, process flows, and acceptance criteria
• Drive continuous improvement of Data Quality Error Management and Data Quality Issue Management processes, including escalation, tracking, closure evidence, and management reporting
• Partner with Business Data Owners, Data Stewards, Data Governance Leads, and Technology teams to implement data quality measurement, monitoring, and governance capabilities
• Support adoption of enterprise Data Quality tools for data profiling, automated data quality rules, measurement, and governance reporting
• Identify opportunities to automate data quality control execution, monitoring, escalation, and evidence retention
• Define requirements for workflow-enabled data quality control management, control effectiveness reporting, and management oversight dashboards
• Prepare materials for data quality governance forums
• Serve as a subject matter expert for Enterprise Data Quality Management capabilities within Collibra and related enterprise data governance solutions
• Develop and maintain requirements, user stories, epics, process flows, use cases, test scenarios, and acceptance criteria for platform enhancements
• Collaborate with technology delivery teams through design, development, testing, deployment, release readiness, adoption, and post-implementation support
• Support backlog prioritization, sprint planning, stakeholder demonstrations, user acceptance testing, training materials, and adoption communications

Enterprise Data Quality Solutions Lead – Assistant Vice President

• Support implementation of enterprise Data Quality Management standards, procedures, operating practices, and technology capabilities
• Translate policies, standards, controls, and regulatory expectations into business requirements, functional requirements, user stories, process flows, and acceptance criteria
• Drive continuous improvement of Data Quality Error Management and Data Quality Issue Management processes
• Partner with Business Data Owners, Data Stewards, Data Governance Leads, and Technology teams on data quality measurement, monitoring, and governance capabilities
• Support adoption of enterprise Data Quality tools for data profiling, automated rules, measurement, and governance reporting
• Identify opportunities to automate data quality control execution, monitoring, escalation, and evidence retention
• Define requirements for workflow-enabled control management, effectiveness reporting, and oversight dashboards
• Prepare materials for data quality governance forums
• Serve as a subject matter expert for Enterprise Data Quality Management capabilities within Collibra and related solutions
• Develop and maintain requirements, user stories, epics, process flows, use cases, test scenarios, and acceptance criteria
• Collaborate with technology delivery teams through design, development, testing, deployment, release readiness, adoption, and post-implementation support
• Support backlog prioritization, sprint planning, demonstrations, user acceptance testing, training materials, and adoption communications

Payroll

• Lead people management and foster an environment where employees do their best work
• Oversee end-to-end payroll delivery for the United States and Canada, including payroll results, reconciliations, funding, employee payments, tax and statutory obligations, year-end activities, and complex exceptions
• Design, implement, document, and sustain the payroll risk and control framework
• Lead remediation of control deficiencies, audit findings, compliance gaps, payroll errors, and recurring process failures
• Define and execute the North America payroll transformation roadmap
• Establish and report service, accuracy, compliance, control, productivity, and transformation outcomes
• Represent North America on global transformation, governance, merger and acquisition, vendor-transition, system-implementation, and policy initiatives
• Monitor US and Canadian payroll, tax, employment, and regulatory developments and implement required changes
• Manage third-party payroll and tax providers
• Drive technology requirements and lead payroll testing, implementation, integration, and stabilization activities
• Maintain process ownership, standard operating procedures, control narratives, payroll calendars, business-continuity plans, cross-training, and governance forums
• Resolve complex payroll issues and build partnerships with HR, Finance, Tax, Legal, Technology, Risk, Internal Audit, employees, and third-party providers

Head of Payroll

• Lead creation and implementation of enterprise Data Quality Management standards, procedures, operating practices, and supporting technology capabilities
• Translate data quality policies, standards, controls, and regulatory expectations into business requirements
• Provide oversight and approval of implementation functional requirements, user stories, process flows, and acceptance criteria
• Define strategy and governance structure for continuous improvement of Enterprise Data Quality Error Management and Data Quality Issue Management processes
• Establish effective escalation paths and senior management engagement
• Partner with Business Data Owners, Data Stewards, Data Governance Leads, and Technology teams to establish data quality measurement, monitoring, and governance capabilities
• Establish enterprise approaches for measuring data quality, including accuracy, completeness, and timeliness
• Define requirements for workflow-enabled data quality control management, control effectiveness reporting, and management oversight dashboards
• Produce evidence-based insights for senior management and governance committees on data quality outcomes and remediation progress
• Participate in regulatory responses, self-assessments, remediation initiatives, audit reviews, and governance forums
• Drive strategy and roadmap prioritization for Enterprise Data Quality Management capabilities within Collibra and related solutions
• Support backlog prioritization and review training materials and adoption communications

Vice President, Enterprise Data Quality

• Lead the strategic and tactical direction of North America payroll as part of the Global Payroll and Time & Attendance leadership team
• Lead people management and foster an environment where employees can do their best work
• Oversee end-to-end payroll delivery for the United States and Canada, including payroll results, reconciliations, funding, employee payments, tax and statutory obligations, year-end activities, and complex exceptions
• Design, implement, document, and sustain the payroll risk and control framework
• Remediate control deficiencies, audit findings, compliance gaps, payroll errors, and recurring process failures
• Define and execute the North America payroll transformation roadmap
• Establish and report service, accuracy, compliance, control, productivity, and transformation outcomes
• Represent North America on global transformation, governance, M&A, vendor-transition, system-implementation, and policy initiatives
• Monitor US and Canadian payroll, tax, employment, and regulatory developments and implement required changes
• Manage third-party payroll and tax providers
• Drive technology requirements and lead payroll testing, implementation, integration, and stabilization
• Maintain process ownership, standard operating procedures, control narratives, payroll calendars, business-continuity plans, cross-training, and governance forums
• Resolve complex payroll issues and build partnerships with HR, Finance, Tax, Legal, Technology, Risk, Internal Audit, employees, and providers

Head of Payroll – North America

Platform Engineer

• Support development, implementation, and enhancement of enterprise encryption and key management services across cloud and on-premises environments
• Partner with application, infrastructure, and platform teams to onboard use cases and integrate centralized encryption and key management capabilities
• Contribute to self-service capabilities, automation, and operational processes that improve scalability and usability
• Define and maintain service documentation, onboarding procedures, support models, and operational runbooks
• Implement and support integrations with centralized key management platforms, cloud-native key management services, and related cryptographic technologies
• Monitor service performance, troubleshoot issues, and coordinate timely resolution of operational and technical challenges
• Support compliance with cybersecurity policies, technical standards, and regulatory requirements related to data protection, encryption, and key management
• Participate in technology evaluations, process improvements, and automation initiatives
• Provide development and infrastructure teams with guidance on encryption best practices, onboarding requirements, and service consumption patterns

Encryption-as-a-Service Platform Engineer

Manager

• Lead and coordinate operational and process change initiatives to support clients
• Partner with business leaders, operations, technology teams, and stakeholders
• Develop and execute change management strategies and plans
• Assess organizational impacts and identify affected stakeholders, processes, controls, and operating models
• Establish project governance and escalation frameworks
• Develop and execute communication plans covering rationale, benefits, impacts, and timelines
• Facilitate stakeholder engagement sessions, workshops, and leadership briefings
• Identify organizational and operational risks associated with change initiatives
• Track and report change progress, readiness, and outcomes to leadership
• Coordinate change activities across multiple business units and functional teams
• Support implementation planning and execution to minimize service disruption

Change Manager, AVP

Associate

• Carry out basic and complex OTC trade processing and valuation functions
• Process trades sent by clients to the OTC Hub and MCH
• Review and audit trades processed by team members for accuracy
• Ensure the OTC valuation team receives proper information to value OTC positions
• Ensure compliance with standard operating procedures and write new procedures where required
• Train new employees until they can perform functions without oversight
• Respond to queries from Accounting, Client Service, reconciliation, internal teams, clients, vendors, and counterparties
• Resolve complex issues and escalate as needed to meet deliverables
• Collaborate with inter-departmental contacts to deliver high-quality work
• Identify risk issues and breaches and follow the risk escalation chain
• Manage assigned tasks and deadlines for self and the team
• Work with the Team Leader and escalate issues requiring management attention
• Support efficient, high-quality client service delivery
• Audit accounting and verification data input and establish process accuracy controls within agreed KPIs
• Review and correct process documentation, including process flows and SOPs, and coach the team
• Understand end-to-end processes and manage upstream/downstream dependencies
• Suggest process improvements and support efficiency and control enhancement projects
• Understand client requirements and guide the team in managing deliverables

Senior Associate, Derivatives

• Support the collection, review, and organization of client account data for new account launches, lifecycle events, and static data maintenance
• Assist with account data validation, enrichment, and control activities to identify gaps and inconsistencies
• Support system configuration across Account Services workflow tools and downstream Alpha applications
• Partner with clients, implementation leads, data leads, product, technology, and downstream operations teams to resolve data issues
• Collect, organize, and analyze client account data for client conversions
• Review client-provided data for completeness, consistency, and alignment with Account Services requirements and operating models
• Maintain account setup data dictionaries, configuration trackers, validation logs, and implementation documentation
• Configure account attributes, dropdown values, lookups, business rules, checklist items, and client-specific settings
• Perform data profiling, reconciliation, and validation across Account Services tools and downstream Alpha systems
• Investigate data exceptions, configuration breaks, and validation failures; document root causes, resolutions, ownership, and status
• Support testing cycles by preparing test data, reviewing expected results, validating configuration outcomes, and documenting defects
• Apply data controls to ensure accurate, complete, and timely account setup, maintenance, and conversion
• Document field-level definitions, population rules, required values, impacted workstreams, and downstream usage
• Monitor configuration readiness, data quality issues, and open action items; escalate blockers
• Support post-go-live remediation and change activity by analyzing data impacts and validating updates
• Contribute to reusable standards, templates, control checks, and best practices for Account Services implementations

Data Integration Delivery Manager – Vice President

Vice President, FinOps for AI

Market Data Sourcing and Category Strategy Head – Managing Director

Vice President, FinOps for AI

Data Analytics – Snowflake Technical Engineering Lead, AVP

Associate, Alternative Ops Derivatives & Collateral Management

Enterprise Data Quality Solutions Lead – Assistant Vice President

Enterprise Data Quality Solutions Lead – Assistant Vice President

Head of Payroll

Vice President, Enterprise Data Quality

Head of Payroll – North America

Encryption-as-a-Service Platform Engineer

Change Manager, AVP

Senior Associate, Derivatives

Data Analyst, Officer