Product Owner - AGENTIC AI, Global Delivery Simplification Vice President

{"description": " ROLE OVERVIEW

We are hiring a Senior Product Owner to lead the design, delivery, and scale-out of agent-based automation across core financial services operations. This role sits within the Global Delivery Simplification organization and focuses on re-imagining how complex operational processes are executed using agentic AI in a regulated, control-intensive environment.

The Product Owner will own the strategy, roadmap, and value realization for agent-driven solutions across Fund Accounting, Middle Office, Transfer Agency, and Custody, ensuring measurable improvements in efficiency, quality, and control while meeting regulatory, audit, and data governance expectations.

This is a hands-on product leadership role requiring strong judgment, deep partnership with business and technology teams, and accountability for outcomes beyond initial delivery.

ROLE PURPOSE

The Product Owner leads a cross-functional POD responsible for conceiving, delivering, and scaling agentic AI solutions across core business services including Fund Accounting, Middle Office, Transfer Agency, and Custody.

The role is accountable for product strategy, roadmap, prioritization, and value delivery of agent-based automation, ensuring solutions deliver sustained operational impact while adhering to enterprise risk, compliance, and governance standards.

Success in this role requires the ability to balance automation ambition with operational risk, and to embed controls, auditability, and explainability as first-class product features.

KEY RESPONSIBILITIES

Own end-to-end business outcomes for agent-based solutions, including efficiency gains, capacity release, quality improvement, risk reduction, and client experience uplift.
Define and communicate a clear product vision for agentic AI use cases across core operational domains.
Develop deep understanding of end-to-end operational processes across Fund Accounting, Middle Office, Transfer Agency, and Custody.
Identify and prioritize opportunities where agent-based automation can materially improve accuracy, cycle time, resilience, and control effectiveness.
Align product strategy with business outcomes, regulatory expectations, and enterprise AI risk frameworks.
Translate simplification goals into clear product hypotheses, roadmaps, and measurable success criteria.
Act as the voice of the business, converting domain and operational requirements into a prioritized backlog of product increments and user stories.
Lead agile execution with a focus on incremental value delivery, rapid learning, and operational readiness.
Oversee the full lifecycle of agentic AI solutions, including problem framing, data grounding, workflow integration, approval and human-in-the-loop design, evaluation, production rollout, and post-deployment performance management.
Treat controls, auditability, explainability, and evidence capture as core product features, not downstream compliance activities.
Use domain expertise to define materiality thresholds, escalation paths, and failure modes appropriate for autonomous or semi-autonomous execution.
Make informed build, defer, or stop decisions based on agent performance, operational materiality, and control outcomes.
Own ongoing agent performance management in production, including accuracy trends, exception patterns, drift indicators, and remediation actions.
Partner closely with operations leaders, SMEs, risk, data, and engineering teams to validate acceptance criteria and business readiness.
Define and track KPIs tied to efficiency, quality, cycle time, client outcomes, and risk reduction; quantify and communicate value delivered.
Communicate progress, risks, and outcomes clearly to senior stakeholders and influence alignment across global teams.

SKILLS AND CAPABILITIES
Strong product management capability, including product strategy, roadmap definition, backlog prioritization, and stakeholder management.
Strong product judgment, with the ability to balance automation ambition, operational risk, regulatory expectations, and user trust.
Proven experience leading cross-functional agile PODs in complex environments.
Excellent communication and influencing skills, with comfort engaging both technical and non-technical audiences.
Deep understanding of one or more business areas: Fund Accounting, Middle Office, Transfer Agency, or Custody (or demonstrated ability to learn quickly and operate credibly with SMEs)
Understanding of prompt engineering and model-alignment practices to improve accuracy and reduce risks such as hallucinations, bias, and data leakage.
Ability to interpret agent telemetry and operational signals such as low-confidence outputs, anomalies, repeated failure patterns, and exception spikes.
Exposure to agent evaluation approaches, including testing edge cases and adversarial scenarios to validate agent behavior.
Understanding of monitoring and escalation patterns for AI agents, including when outputs should be suppressed, flagged, or routed to human reviewers.
Solid understanding of data governance principles including data quality, lineage, metadata, and stewardship.

EXPERIENCE REQUIREMENTS

7+ years owning products or platforms in complex, regulated operational environments, with clear accountability for outcomes rather than only delivery.
Experience in global financial services operations, preferably in Fund Accounting, Middle Office, Transfer Agency, or Custody.
Exposure to AI, automation, or digital transformation programs in enterprise environments.
Prior experience working closely with engineering, data, risk, compliance, and audit functions.
Experience launching and scaling solutions into live operations, not just pilots or proofs of concept.
Experience working in agile POD or product-centric delivery models.

Salary Range:
$110,000 - $188,750 Annual

The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit

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It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.", "salary_raw": "Row(double=None, string=None)"}