layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Middle Office Strategy and Implementation, Senior Vice President at State Street

Middle Office business transformation
Define the end-to-end business transformation agenda across transaction processing, positions, cash, reconciliations, exception management, client reporting, controls and operational oversight.
Create current-state process, capability and dependency views; identify service, control and operating-model gaps; and define practical transition plans that reduce fragmentation without disrupting client service.
Partner with Operations, Product, Client Management, Risk and Finance to define service standards, decision rights, accountability, performance measures and implementation priorities.
Chair business design and transformation reviews, maintaining traceability from client outcomes and control requirements to approved operating-model decisions, investments and delivery evidence.
Operating model and service strategy
Design a clear target operating model covering organizational responsibilities, service delivery, process ownership, governance, controls, escalation paths and performance management.
Establish a prioritized portfolio of business capabilities focused on service quality, operational efficiency, exception reduction, control effectiveness, scalability and client transparency.
Define use-case and initiative qualification standards based on client value, operational risk, process readiness, control design, scalability and total cost; stop or redirect concepts that do not meet agreed thresholds.
Partner with business and operations leaders to define authoritative process ownership, common business definitions, service-level expectations and management information required for effective oversight.
Move successful pilots into sustainable business operations by establishing acceptance criteria, operating ownership, training, change adoption and post-implementation performance measures.
Transformation portfolio and investment governance
Translate business and operating-model gaps into a sequenced portfolio of service, process, control and organizational investments with explicit outcomes, dependencies, costs, risks and benefits.
Provide independent challenge to proposals and investment cases; identify where common enterprise capabilities should be reused, extended, consolidated or retired rather than duplicated.
Define transformation scorecards and report progress through measures such as client outcomes, process simplification, control effectiveness, service quality, productivity, adoption and realized benefits.
Guide annual and multi-year planning so near-term commitments remain consistent with the target operating model and client strategy.
Executive client and enterprise engagement
Advise senior client and State Street stakeholders on business strategy, service opportunities, operating-model choices, delivery constraints and investment trade-offs.
Convert complex business and operational subjects into clear decision papers, options and recommendations for executive, client, risk and investment forums.
Represent Middle Office business requirements in enterprise governance while ensuring client-specific needs do not create avoidable complexity or fragmentation.
Build durable alignment across Operations, Product, Client Management, Risk, Compliance, Legal, Finance, Procurement and Human Resources.
AI, data and intelligent operations strategy
Build a prioritized portfolio of AI-enabled Middle Office capabilities, including operational knowledge assistance, exception triage, workflow orchestration, control monitoring, root-cause analysis and decision support.
Define the reference architecture for AI solutions, covering approved models and services, data access, retrieval patterns, human oversight, testing, monitoring, explainability, security, records and model lifecycle controls.
Establish use-case qualification standards based on client value, operational risk, data readiness, control design, scalability and total cost; stop or redirect concepts that do not meet defined thresholds.
Partner with Data leaders to define authoritative data products, lineage, quality rules, metadata and entitlements required for analytics and AI at scale.
Move successful proofs of concept into production by defining reusable patterns, acceptance criteria, operational ownership and post-deployment performance measures.

Middle Office Strategy and Implementation, Senior Vice President

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