Middle Office Automation Solution Architect (Automation & Data) - Assistant Vice President
State Street — HINJEWADI PUNE
Job Posting Title Assistant Vice President – Middle Office Automation & Data Enablement Lead Job Description Summary State Street’s Middle Office function is establishing a small specialist team to design, deliver and support business-driven automation and data enablement solutions across reconciliations, exception management, document processing, and cross-system workflows. This Vice President is the service owner for the automation capability, accountable for portfolio prioritization, risk and controls, and stable production operations. Job Description Who we are looking for A senior operations/technology leader with proven experience delivering change in regulated investment operations. You will lead a six-person pod covering governance, engineering and run support, partnering with Operations teams who own process discovery and subject-matter expertise. Why this role is important to us Middle Office teams handle critical and time-sensitive controls, executions and decisions. Scaling automation safely requires clear ownership, strong governance, and a support model that maintains service levels while reducing manual effort and operational risk. What you will be responsible for As Vice President you will Own the automation service (build + run) and provide a clear operating rhythm: intake, prioritisation, release, and support. Partner with Operations leaders to convert discovery into a ranked backlog aligned to client impact, risk reduction, and capacity release. Act as escalation point for production automations; ensure timely triage, communication, and resolution of issues. Set standards for solution design, documentation, and evidence (runbooks, controls, audit trails) across Power Platform and RPA. Ensure governance and lifecycle management (ownership, co-ownership, service accounts, periodic reviews/recertification). Drive a “systemic fix first” approach to recurring data issues; coordinate remediation across data providers/technology partners. Develop tea
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