AVP – Lead, Automation & Platform Ownership (Mashreq Global Network Pakistan)

Mashreq; Pakistan; On-site; PKR 4,000,000 - 8,000,000; Full time

Job summary

Mashreq is seeking a senior professional to lead the enterprise-wide automation strategy for reconciliation systems. The role focuses on scalable, accurate, and resilient processes across high-volume accounts, enhancing auto-matching logic and reducing manual breaks with AI-based platforms like Cypher.

You will collaborate closely with Technology, Internal Controls, and Business Operations to resolve platform gaps, define SLA thresholds, and drive the automation agenda across Nostro, Sundry,

Qualifications

• Strong analytical and diagnostic skills with ability to interpret MI, break trends, and drive strategic process change.
• Stakeholder engagement and influencing skills to work with cross-functional leaders across Operations, Finance, Audit, and Technology.
• Proficiency in reconciliation platforms (e.g., TLM) and data governance tools.
• Understanding of AI-based logic implementation and pattern recognition.

Responsibilities

• Lead enterprise-wide automation strategy and platform ownership for reconciliation systems.
• Enhance auto-matching logic and reduce manual breaks; improve efficiency using AI-based platforms like Cypher.
• Define SLA thresholds and drive automation agenda across Nostro, Sundry, Internal, VAT, and other reconciliation types.
• Coordinate with Technology, Internal Controls, and Business Operations to resolve platform gaps.
• Onboard and integrate new account types or business lines into the reconciliation platforms.

Skills

Analytical skills

Stakeholder engagement

AI model validation

Data governance

Platform configuration

Tools

TLM

Cypher

Job description

To lead the enterprise-wide automation strategy and platform ownership for reconciliation systems, ensuring scalable, accurate, and resilient processes across high-volume transaction accounts. The role will be responsible for enhancing auto-matching logic, reducing manual breaks, improving reconciliation efficiency through AI-based platforms like Cypher, and aligning reconciliation capabilities with evolving business needs and technology standards. This includes close coordination with Technology, Internal Controls, and Business Operations teams to proactively resolve platform gaps, define SLA thresholds, and drive forward the automation agenda across Nostro, Sundry, Internal, VAT, and other key reconciliation types.

Key Result Areas

• % auto-matching rate improvement across key account types (vs. baseline).
• % reduction in false breaks or manual intervention
• Timely closure of platform issues impacting SLA-based reconciliations
• % of transaction volumes successfully reconciled via automated feeds
• Uptime and availability of reconciliation platforms (vs. incident targets)
• Successful onboarding and integration of new account types or business lines into TLM/Cypher.

Knowledge, Skills and Experience

Knowledge

• Strong grasp of reconciliation platforms (TLM, Cypher).
• Understanding of AI-based logic implementation.
• Strong knowledge of matching logic, rule configuration, fuzzy logic, NLP, and pattern recognition

Skills

• Strong analytical and diagnostic skills, with the ability to interpret MI, break trends, and drive strategic process change.
• Stakeholder engagement and influencing skills to work effectively with cross-functional leaders across Operations, Finance, Audit, and Technology.
• Proficiency in reconciliation platforms (e.g., TLM) and data governance tools.
• Analytical: Capable of trend analysis, false break categorization, and AI model validation
• Platform workflow configuration and UAT expertise.
• Strong ability to collaborate across tech, ops, audit, and business

Experience

• 10+ years in banking ops/tech roles, with deep experience in reconciliation automation
• Strong experience in automation or systems integration