Production Support Lead - Innovation_Delivery_Transformation

The Team

The Innovation & Delivery Transformation (I&DT) team is building the future of Deloitte's business through new AI-native platforms and products. The team is responsible for identifying, nurturing, scaling, and winning in new markets through new capabilities. Rather than relying on what the firm has historically done, I&DT looks ahead and invests in areas where growth is expected three, five, and ten years into the future.

Are you looking for a unique opportunity with both start-up spirit AND enterprise strength? Deloitte's Converge for FSI business offers both! We are looking for a talented individual with an innovative mindset to join the Converge for FSI team in our mission to develop differentiated financial services products that achieve product-market fit. This is a great opportunity to be on the front lines of Deloitte's innovation & product strategy while staying close to industry/sector priorities.

This role is focused on Asset Insight Suite (AIS), Deloitte's data platform for investment management. As the Production Support Lead, you will be part of the AIS product and engineering team. You will lead L3 production support for AIS, working directly with client implementation teams to resolve issues they report - picking up what can't be resolved through initial triage and log review, and seeing them through to a fix.

It's a hands on technical role spanning data pipeline issues across ingestion, identity resolution, reconciliation, and publish/output failures, along with configuration troubleshooting and small enhancements, with a strong emphasis on keeping the platform reliable, accurate, and compliant as new client engagements onboard. This role is critical to the success of every implementation, since implementation teams depend on fast, accurate resolution to keep client delivery timelines on track.

Recruiting for this role ends on 9/11/26.

• Own L3 triage and resolution for issues reported directly by client implementation teams, spanning the full AIS pipeline.
• Diagnose data pipeline failures using the ABC (Audit, Balance, Control) framework - tracing a failed, delayed, or incorrect event, and run status to identify where in the pipeline a job stalled, failed, or produced unexpected output.
• Troubleshoot identity-resolution issues reported during implementation - working with the implementation team to determine whether the root cause is a data pipeline configuration issue, a source data quality issue, or a platform defect.
• Perform root-cause analysis on issues reported during onboarding and steady-state runs, document findings clearly for the implementation team, and implement fixes - the majority of which are config corrections (AIS is config-driven by design), with a smaller share requiring code changes in the PySpark/Snowpark pipeline.
• Act as the technical point of contact for implementation teams during active client onboarding, answering config-behavior questions, validating that new source feeds are mapping correctly through medallion architecture, and confirming data product outputs match what was specified for that client.
• Monitor platform health and reliability, including SLA adherence and event success rates, proactively flagging patterns that could affect multiple implementations before they’re individually reported.
• Maintain and improve runbooks, config troubleshooting guides, and known-issue documentation based on recurring implementation-team questions, reducing repeat escalations over time.
• Support security and compliance posture - investigating and remediating access-control issues (RBAC, per-client/per-source data scoping) reported during implementation, and ensuring resolution meets audit expectations for a platform handling client-confidential financial data.
• Implement small config-based enhancements requested by implementation teams during onboarding, working within established config patterns rather than requiring new engine development from platform engineering.
• Participate in an on-call/coverage rotation to support active implementations, with clear escalation paths to platform engineering for issues requiring deeper architectural…