AI Banking Product Operations Manager

Santriya Technologies; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Santriya Technologies is seeking an AI Banking Product Operations Manager to own operational readiness and performance for banking products, connecting product documentation, front-line workflows, AI tools, controls and measurable customer outcomes. Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services.

The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls,

Qualifications

• Translate product rules and releases into SOPs, knowledge, training and controls.
• Own service, backlog, quality, complaints, incident and exception metrics for products.
• Design AI-assisted workflows with permissions and checkpoints.
• Coordinate across Product, Engineering, Operations, Risk, Compliance and Customer Service during changes.
• Validate AI knowledge sources are current and traceable to approved docs.
• Run post-launch reviews and identify root causes of issues and manual effort.
• Maintain risk/control assessments and evidence for material operational changes.
• Prioritize automation based on value, risk and customer impact.

Responsibilities

• Translate product rules and releases into SOPs, knowledge, training, controls and operational acceptance criteria.
• Own service, backlog, quality, complaints, incident and exception metrics for assigned products.
• Design AI-assisted workflows with clear permissions, human checkpoints and fallback paths.
• Coordinate Product, Engineering, Operations, Risk, Compliance, Legal and Customer Service through changes.
• Validate that AI knowledge sources are current, versioned and traceable to approved documentation.
• Run post-launch reviews and identify root causes of contact, failure or manual effort.
• Maintain risk/control assessments and evidence for material operational changes.
• Prioritize automation based on value, risk and customer impact rather than novelty.

Skills

Operations management

Process design

Cross-functional coordination

AI tooling

Tools

GenAI copilots

Enterprise search

RAG

Workflow automation

Job description

Job Summary

Santriya Technologies is seeking an AI Banking Product Operations Manager to own operational readiness and performance for banking products, connecting product documentation, front-line workflows, AI tools, controls and measurable customer outcomes.

Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services. The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth. Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work. Validate material AI outputs against current documentation and authoritative system data, record exceptions, and elevate conflicts or missing guidance. Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities

• Translate product rules and releases into SOPs, knowledge, training, controls and operational acceptance criteria.
• Own service, backlog, quality, complaints, incident and exception metrics for assigned products.
• Design AI-assisted workflows with clear permissions, human checkpoints and fallback paths.
• Coordinate Product, Engineering, Operations, Risk, Compliance, Legal and Customer Service through changes.
• Validate that AI knowledge sources are current, versioned and traceable to approved documentation.
• Run post-launch reviews and identify root causes of contact, failure or manual effort.
• Maintain risk/control assessments and evidence for material operational changes.
• Prioritize automation based on value, risk and customer impact rather than novelty.

AI-enabled ways of working

• Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.
• Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.
• Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.
• Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.

Human accountability

AI is a copilot, not the accountable decision-maker. The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation. Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.

Success Measures

• Product changes launch with fewer operational defects
• Service cost and manual effort decline
• Customer and control outcomes improve
• Knowledge/SOPs remain aligned to product releases