Lead Analyst Manager

Symphoni HR Pvt Ltd.; Pune District, Chennai District; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Symphoni HR Pvt Ltd. seeks a seasoned AI Ops Lead to manage offshore production monitoring for CCR technology. You will oversee AI/ML-enabled processes, establish alerting protocols, and ensure high-quality risk insights. Collaboration with Risk, Model Risk and Data Science is essential to interpret alerts and drive improvements.

The role requires 8–10 years in tech operations with 3–4 years in AI/MLOps, plus strong stakeholder communication skills for senior-level updates.

Qualifications

• 8–10 years in technology operations / production support, with 3–4 years in AI Ops / MLOps capacity
• Experience monitoring AI/ML models in production—performance, drift, anomalies, human-review workflows
• Hands-on exposure to AI Ops/observability tooling (dashboards, alerting, log/metric analytics)
• Solid grounding in Counterparty Credit Risk concepts (EPE/PFE, exposure, limits, collateral) to prioritize alerts
• Prior team-lead or people-management experience in offshore/onshore delivery
• Strong stakeholder communication—presenting operational updates to senior Risk/Technology stakeholders

Responsibilities

• Own end-to-end production monitoring of AI/ML-enabled processes across the CCR technology team.
• Track model performance, drift, data-quality degradation and output anomalies; define thresholds and alert logic with Model Risk and Data Science.
• Establish human-in-the-loop review and escalation protocols for AI-flagged exceptions.
• Own the AI Ops tooling roadmap: predictive monitoring, anomaly detection, automated prioritization and self-healing workflows.
• Interface between AI Ops, Model Risk, Data Science and Engineering on model-related production issues.
• Drive automation backlog: automate manual monitoring, reconciliation and exception-management activities.
• Build and maintain dashboards, automated alerts and AI-assisted investigation tools; reduce manual touchpoints and risk.
• Lead root-cause analysis for recurring issues; maintain permanent-fix backlog with Engineering.
• Coordinate investigation of exposure/data discrepancies with Risk and tech teams as input to AI Ops responses.

Skills

AI Ops

MLOps

Production monitoring

Stakeholder communication

Team leadership

Tools

Observability tooling

Dashboards

Alerting platforms

Job description

Role & responsibilities

ROLE PURPOSE

Lead the offshore AI Ops Support function for the client's Counterparty Credit Risk (CCR) Technology team. The role is

primarily an AI/ML operations role owing production monitoring, performance and active oversight, and automation of

AI-enabled controls across CCR exposure, EPE/PFE and risk-reporting pipelines. A working knowledge of CCR

concepts is a mandatory enabler, not the core of the job - required so the lead can correctly interpret alerts, detect false

positives from genuine risk issues, and hold credible conversations with Risk, Model Risk and Technology stakeholders.

KEY RESPONSIBILITIES

AI / ML Operations (core focus)

Own end-to-end production monitoring of AI/ML-enabled operational processes across the CCR technology

team.

Track model performance, drift, data-quality degradation and output anomalies; define thresholds and alerting

logic in partnership with Model Risk and Data Science.

Establish human-in-the-loop review and escalation protocols for AI-flagged exceptions.

• Own the AI Ops tooling roadmap for the team: predictive monitoring, anomaly detection, automated prioritization and self-healing workflows.
• Act as the primary interface between AI Ops, Model Risk, Data Science and Engineering on all model-related production issues.

Automation & Continuous Improvement

• Drive a team-wide automation backlog: automate manual monitoring, reconciliation and exception-management activities currently done manually.
• Build and maintain dashboards, automated alerts and AI-assisted investigation tools; measure and report reduction in manual touchpoints and operational risk.
• Prioritize and sequence automation initiatives against incident trends and MTTR data.

Incident & Problem Management

• Primary escalation point for high-severity incidents across CCR applications and AI-enabled processes.
• Lead root-cause analysis for recurring calculation, data and model issues; own the permanent‑fix backlog with Engineering.
• Track incident volumes, SLA breaches, MTTR and recurring‑problem trends; report on operational health.

CCR & Risk Context (supporting knowledge)

• Apply working knowledge of exposure, EPE/PFE, limits and collateral/margin concepts to correctly interpret monitoring alerts and data breaks.
• Coordinate investigation of exposure/data discrepancies with Risk and upstream/downstream technology teams, as an input to the AI Ops response, not the primary workstream.

Governance, Team Leadership & Stakeholder Management

• Maintain SOPs, runbooks, escalation matrices and control evidence for audit and model‑governance requirements.
• Manage work allocation, quality review, KPIs and cross‑training across the analyst team.
• Provide regular operational health and improvement reporting to clients and other senior stakeholders.

REQUIRED SKILLS & EXPERIENCE

• 8–10 years in technology operations / production support, with at least 3–4 years in an AI Ops, MLOps or AIOps‑adjacent capacity.
• Demonstrated experience monitoring AI/ML models in production — performance, drift, anomaly detection, human‑review workflows.
• Hands‑on exposure to AI Ops/observability tooling (e.g. dashboards, alerting platforms, log/metric analytics; specific tool stack per client environment).
• Solid grounding in Counterparty Credit Risk concepts (EPE/PFE, exposure, limits, collateral) enough to independently prioritize whether an alert is a data, model or genuine risk issue.
• Prior team‑lead or people‑management experience in an offshore/onshore delivery model.
• Strong stakeholder communication — comfortable presenting operational updates to senior Risk/Technology/AD‑ level stakeholders.