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Senior Operations Manager: AI Automation

Capital.com
Dubai, UAE
Full-time
Senior
Onsite
Discovered 6 days ago
Operations automationAI workflow deploymentProcess analysis and redesignAutomation roadmap developmentHuman review and exception handlingOperational controls

Full Job Posting

Role overview

Lead how Capital.com applies AI and automation across Operations, including Customer Support and FinCrime.

Own the automation roadmap, from opportunity selection and prioritization through building, testing, rollout and measurement.

Redesign processes to use AI, fixed rules and human judgment appropriately; lead a team of one to two people.

Responsibilities

  • Increase the share of automated tasks across Operations and identify opportunities based on time lost, errors and repetitive work.
  • Prioritize opportunities with clear baselines and measurable value.
  • Redesign processes with users and control owners, determining where AI, fixed rules or human decisions are appropriate.
  • Build prototypes and working automations and coordinate integrations and production support with Product and Engineering.
  • Test real-world conditions, including incomplete inputs, unexpected outputs and failed dependencies.
  • Agree data, permissions and controls before launch, including human review and manual fallback.
  • Lead rollout with operational managers and support adoption.
  • Measure quality, usage, benefits and review or support costs against baselines; fix failures and document ownership, monitoring and recovery.

Required experience

  • At least 5 years in operations, process excellence, automation or a similar field.
  • Hands-on experience building and launching AI and automation in live operations with measurable results.
  • Ability to size opportunities and create a prioritized roadmap.
  • Experience redesigning processes with operational teams and control owners in a regulated or control-heavy environment.
  • Experience testing AI workflows and designing human review and exception handling.
  • Experience working with Product and Engineering and managing direct reports.

Preferred experience and tools

  • Financial services, fintech, brokerage or payments experience is a plus.
  • Automation in Customer Support, KYC or FinCrime/AML is a plus.
  • Hands-on use of LLM APIs, workflow tools such as n8n, and Python or SQL is a plus.

Hiring process

The company may use AI tools to assist with application review, resume analysis or response assessment; final hiring decisions are made by people.

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