- 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 escalate 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 transparent 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

📌 AI Banking Product Operations Manager (Chennai)
🏢 Santriya Technologies
📍 Chennai