AI Delivery & Resource Manager

Santriya Technologies; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Santriya Technologies Ltd. is seeking an AI Delivery & Resource Manager to match people and AI-enabled delivery capacity to client/product demand using skills intelligence, forecasting and controlled resource decisions.

The role involves maintaining demand, supply, availability, and assignment data for delivery teams, using AI to surface potential resources, validating fit, and coordinating staffing with delivery leaders, recruitment, and finance.

Responsibilities

• Maintain demand, supply, availability, skills, location and assignment data for delivery teams.
• Use AI matching to surface potential resources, then validate experience, availability, conflicts and development fit.
• Coordinate staffing decisions with delivery leaders, recruitment and finance.
• Forecast capacity gaps, bench risk and critical-skill shortages and trigger action early.
• Track utilization, assignment end dates, extensions and onboarding dependencies.
• Ensure staffing decisions consider fairness and do not use prohibited sensitive attributes.
• Maintain evidence for prioritization and exception decisions.
• Improve skills data and role profiles from delivery outcomes.

Job description

Job Summary

Santriya Technologies is seeking an AI Delivery & Resource Manager to match people and AI-enabled delivery capacity to client/product demand using skills intelligence, forecasting and controlled resource decisions.

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

• Maintain demand, supply, availability, skills, location and assignment data for delivery teams.
• Use AI matching to surface potential resources, then validate experience, availability, conflicts and development fit.
• Coordinate staffing decisions with delivery leaders, recruitment and finance.
• Forecast capacity gaps, bench risk and critical-skill shortages and trigger action early.
• Track utilization, assignment end dates, extensions and onboarding dependencies.
• Ensure staffing decisions consider fairness and do not use prohibited sensitive attributes.
• Maintain evidence for prioritization and exception decisions.
• Improve skills data and role profiles from delivery outcomes.

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

• Time-to-staff and utilization improve
• Critical skills gaps are visible earlier
• Staffing decisions are explainable
• Assignment data quality improves